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Ithaca College Digital Commons @ IC Ithaca College eses 1979 Environmental analysis and interaction paerns of high school basketball coaches omas James Proulx Ithaca College Follow this and additional works at: hp://digitalcommons.ithaca.edu/ic_theses Part of the Health and Physical Education Commons is esis is brought to you for free and open access by Digital Commons @ IC. It has been accepted for inclusion in Ithaca College eses by an authorized administrator of Digital Commons @ IC. Recommended Citation Proulx, omas James, "Environmental analysis and interaction paerns of high school basketball coaches" (1979). Ithaca College eses. Paper 219.

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Page 1: Environmental analysis and interaction patterns of high

Ithaca CollegeDigital Commons @ IC

Ithaca College Theses

1979

Environmental analysis and interaction patterns ofhigh school basketball coachesThomas James ProulxIthaca College

Follow this and additional works at: http://digitalcommons.ithaca.edu/ic_theses

Part of the Health and Physical Education Commons

This Thesis is brought to you for free and open access by Digital Commons @ IC. It has been accepted for inclusion in Ithaca College Theses by anauthorized administrator of Digital Commons @ IC.

Recommended CitationProulx, Thomas James, "Environmental analysis and interaction patterns of high school basketball coaches" (1979). Ithaca CollegeTheses. Paper 219.

Page 2: Environmental analysis and interaction patterns of high

(ヽ」ヽ一」

t,    こ1‥1

,、―‐●「一

ENVIRONMENTAL ANALYSIS AND INTERACT10N

PATTERNS OF HIGH SCH00L

BASKETBALL COACHES

by

Thomas James Proulx

An Abstract

of a thesis submitted in partial fulfiLlnent

of the requirements for the degree of.

Master of Science in the School.

of Health, Physical Education

and Recreation at

Ithaca College

Septenber 1979

Thesis Advlsor: Dr. Victor H. Manclni

lrHACA COILEGE LIBRARY

`ヽ

t

Page 3: Environmental analysis and interaction patterns of high

Abstract

This ■nvestigation cυЩpared the behaviors Of cOaches ■■ t́wo different

athleti9 enVironments. Teans were classified as either being satisfied

or ■ess satisfied with the■ r sOc■al climnte accOrding tO hOw athletes

responded_ O the CES. This p● ocedure ■nvolved the use of a median=6P■ it

techn■ que. This was f01lowed by mu■ tivatiate analySis Of variance、 to

dete.Щ■ne ■f the results on the twO scales were signifiCantly different.

Univariate analysis Of variance then dete.Щ ■ned the dinensiOns on which

they differede Fina■ lyし・diSCriminant functiOn ana■,SiS estab■ ished the

percent that each OF the var■ ablesiaccOunted for towards this Overall

differenceo Mhle athletes and cOaches frO■ ■o vars■ ty basketbal■ teams

served as subjects. These subjeCts frOm、 the centra■ New York State area

were v■ deotaped a total of fOur times each dur■ ng the 1978-1979

basketba■■ season.¨ 0.Ш R and Fo.ul l of the cES・ were completed by the

athletes and tle cOaches fO■■ow■ng the first and~fOurth taping sessiOn

respectively. cAFIAS was used tO‐ cbde a1l videotaped practicё SessiOns.

Ratios and percentageb fOr the 20 cAFIAS variables and the 26 CAFIAS

parameters were yielded by thls ana■ ys.s. sign■ficant behav■Orai

differences between the satisfied and the leSS satisfied group were

deter口ined through the Kruskal―wa■■is One―way analysis‐Of variance. The

.05 ■eve1 0f statistical sign■ficance was selected to dete.ul■ ne

sign■ficant differences. The nonparameiLr■ c test analyzed percentages Of

occurrence in the satisfied and the less satisfied gioupso Results that

8 0ut of 20 0f the CAFIAS variableS and 9 0ut Of 26 of the CAFIAS

parameters proved O be sign■ ficantly, ifferent. Results Of these twO

一孝

Page 4: Environmental analysis and interaction patterns of high

tests led tO the acceptance of the first mnjOr h」3。thes.s stati■ g that _ ~

・ f the tWO difFetent envirOnments^wi■ l cOntain significantly difiereit 、 ぢH・

behaviib On the part Of、 the coaches as deteiminё d by CAFIAS.′ FiguギЪb l

WerO COnstructed fron the CES reSu■ ts which graphica■ ■y i■ lustra[ed ・ 普 .

trends between athletesr and coaches' perceptiOn of theヒr envirOぶ轟

`ht `・ ・and an idea■ enviro...llent o The investigator was ab■ e to ■ake cOncltsiOns・ regarding the rema■n■ng fOur hブpOtheses fron these fiЁ ureS. The secOnd' 1

hypOtheも is was accepted because differencdt werё fOund betweCh ath■ etesl t`

‐ I

` and coaches' perceptiOn Of theif environment. on 8 0ut Of 10 dittenごiOpsメ 1

the cOaches fe■t thbir climnte was ■Ore positive than thb athletes. The・ _

third hypothesis stating thatithe at,lbtesl environmenta■ pOをceptiσh Of

the real and idea■ envirOnments w■ ■l be sign■ ficant■ y different was

acceptedo Ath■ etes・ =indicated thaぜ 9 0ut・bf 10 dinensiOns wete in nedd

of changeo The fOurth iajOr hypothesis was accepted because cOaches.

envirOnmental perceptiOn of、 the real and・ the ideh■ enviromont was 、

._ significantly different. cOachLs gene■ al■y perCё ived their eiOirOrinent 出

ら, to be lё ss than^ideal. The fifth and final hレ pOthe,it Stating that、 the

erceptiOn of the ath■ etes and・the cOaches・ 。n the iddal environment

would be significant■ y different was a■ sO aCcepted. The coaches ・

'PerCeived the ideal environment tO cOntain'higher scOie5 0n 8 0ut Of 10 ・

of the gЁs ciimens10ns.

Page 5: Environmental analysis and interaction patterns of high

EITvTRoNMENTAL ANALysrs Ar{D* rxrtnadrrbu

PATTERNS OF HIGH SCHOOL'i ''

BASKETBAIL COACHESh

A Thebis Presented tO the Facu■ ty σf_

●=

the sch00■ Of Health, Physical

, ducatiOn, and RecreatiOn

lthaca Col■ ege

In Partial Fulfillnent of .the

Requirenneuts for the Degree

' .[lSster of Science

by

Thomas Jゴmes PrOulx

september 1979

●  r

Page 6: Environmental analysis and interaction patterns of high

′ ヽ、■ ■

,. 

.  一 ヽL■  .1   ¨

Ithaca CollegeSchool of Health, Physlcal Education and Recreation

Ithaca, New York

CERTIFICATE OF APPROVAL

MASTER OF SCIENCE THESIS

This is to certify that the Master of Science .Thesls of

Thomas James Proulx

submitted in partial fulfillment of the requlrementsfor the dggree of Master of Science in the School ofIlealth, PhLysical Education, and Recreation at IthacaCollege hds been aPProved.

Thesis Advisor:

Committee Member:

Candidate:

Chairman, GraduatePrograms ,i-n Physica

Education:

Dean of GraduateStudies:

Date:

Page 7: Environmental analysis and interaction patterns of high

¬嘔=~_ ~ ~~~Ⅲ

… …‐ ‐

\_,.

ACKNOI{LEbGMENTS

The investigator wbuld like to thank the following.people for

theLr assistance in the completion of this thesis:

1. Dr. Victor H. Mancini, my thesis advisor, whose glid.rr".,

direction, and long hours hel-ped to make this thesis possible.

' 2. Dr. A. Craig Fisher, my, conmittee uember, whose criticisms

and suggedtions"helped this thesis ro take shape.

3. Dr. Patricia Frye, for her.help in the statistical- analysis'-n

of the data.

4. To aLl the coaches and athletEs who so generously gave of

their time and themselves to nake this research posslble.

5. To my- fellow graduate students-, whose unending friendship

made this experience a little easier to bear. r.-+

/ ・

ii

ン■

,・″

… `

Page 8: Environmental analysis and interaction patterns of high

DEDICAT10N

This thesis is dedicated to my parents, whose insp■ ration, love,

and prayers helped to make a dream a rea■ ity.

iii

Page 9: Environmental analysis and interaction patterns of high

TABLE OF CONTENTS

ACKNOWLEDGMENTS

Page

■■

■■■

V■

vii

8

8

11

17

21

24.

DEDICAT工ON

LIST OF TABLES

LIST OF FIGURES

Chapter

l. INTRODUCT工 ON

Soclal Cl

Group Env ironment Scale'

Scope of Problem

Statcu.ent of Problem

l,Iaj or'Hypotheses

Assumptions of Study

Deflnition of ierms

Delinitation3 of Study

Lim■ tations Of study

2。 REVIEW OF RELATED.LITERATURE

Descriptive Anhl-ytic Techniques .

Analysis of Physical Educati.on and Athl_etics

 

 

■mnte

 

 

 

 

 

 

 

 

3.

Sumary

METHODS AND PROCEDIIRES

Selection of Subjects

Testing, Instfuments

Coder Rbliability

h

27

Page 10: Environmental analysis and interaction patterns of high

ヽ  、́

Chapter

Procedure

Scoring of Data

Treatment of Data

Surrm6ay

4. ANALYSIS OF DATA

Reliabiliry of Coder

Analysis of Athletesr and Coachest Behaviors

Grbup Environment Scale . .

Satisfied Tenms

Less Satisfied Teams

Athletes'and C.oaches

Suma'ry

5. DISCUSS10N・ OF RESULTS . .

Summaly . .

6. sIlMMARy, CONCLUSTONS A]{D RECOMMENDATTONS FOR FURTHER

STUDY

Summary....'

Conclusions

Rec● =:=lendations fOr・ Further Study . . 。 . . 。 . . 。 ● ●

Page

27

28

28

29

,30

30

30

40

42

76

76

78

 

 

 

 

62

66

72

APPENDIX A

APPENDIX B

REFERENCES

 

 

 

 

 

 

 

 

V t

Page 11: Environmental analysis and interaction patterns of high

LIST OF TABLES

Table

l. Coder Reliabilitァ

Pag:

31

2. ANOVA of CAFIAS Variab■es f6r satiも fied and

Less Satisfied Tenms

3. ANOVA of CAFIAS Para■eters for Satisfied and

Less SatJsfied Teams . . . . 。 . 。 .

4. Sr:nrmary of Most Frequent Interactibn Patteins among the.

Top 10 'Cells of Male Coaches in Satisfied a-nd Lebs

SatisfiedEnvironments. j.

5, AI'IOVA of GES Variables (torm R"& I)

6。 Discriminant Function Ana■ ysis Of GES Variab■ es

(Fo・Ш R & 工)

V■ l

一33

34 1´

43

 

 

 

 

Page 12: Environmental analysis and interaction patterns of high

Flgure

1.

2.

3.

4.

5.

5.

7.

8.

9.

10.

11.

L2.

13.

L4.

15.

,6:

L7.

LIST OF FIGIIRES

Mean Percentages for the CAI'IAS Variables

GES (Fo.Щ R & I) fOr Tenm l

GES (Fo.ul R & 工) for Team 2

GES (Fo.Ш R & 工) fOr Tenm 3

GES (Fo.Ш R & I) fOr Tean 4

GES (Fo.ul R & I) fOr Team 5

GES (Fo.ul R・ & I) for To・ ■ 6

GES (Fo.Щ R & I) fOr Tenm 7

GES (Fo..I R & 工) for Tёam 8

GES てFo.Щ .R & I) fOr Ton. 9

GES ('orm R & 1) for Tenm 10

Ath■etes & cOachёo¨(Fo.ul R)

1′ ・

Athletes (Fo.ul R & I)

Coaches (Fo..u R & 工) 。 . 。 . . . 。 ・ 0 ・ ・ ・ 。 ・ ・ ・ ・ ・ ・ 0

Athletes & cOaches (FO.Ш I) 。 。 。 . . . 。 . 。 ・ ・ 。 ・ ・ ・ ・

Satisfied Atliletes & Coaches (Form R)+

L€ss Satisfied Athletes & Coa'ches (Form R)。 。 .。 。 。 。 ..

Page

36

44

45・

47

48ヽ

49

50

52

53

54

56

57

59

60

61

63

64

V■■

Page 13: Environmental analysis and interaction patterns of high

Chapter 1

INTRODUCTION

Educators are searchlng for the most effectlve means to evaluate

teachers, coaches, and the educatLon system in general. Anderson (1939)

saw a need for such an evaluation, and he conducted a study to deVelop

reLlable technlques foi recording, ln terms of donlnatlve and

lntegratlve behavlor, the contacts that teachers have wlth thelr

students. Thls was the fLrst study of lts kind. Anderson (1971) sald

that in these tlmes of revolutlonary change'in teaching methods in

physlcal educatLon, there ls partlcular need for a more thorough and

emplrlcally based understandlng of the teaching process. Deecrlptiv'e

analytlc reciEarch tn phjrslcal educatlon could provlde the tools of

lnqulry ae well as the data needed to lntelllgently monitor and gulde

the procees of change. fhe use of interactlon anarysie (rA) has been

helpfril to researchers ln fulfllllng these neede.

rnteractlon analyels has -been developed to ald the teachers in

lmprovlng tlielr role of guldlng the learnlng of ther.r puplls (Amldon &

Flanders, L97L). -I\ro.of the most popular systems of IA that have been

developed came from Flanders (1960) and'Cheffers (L972). Ttre Flanders

Interactlon Analysl's System (FIAS) was created to code verbal behavlor

on1y. verbal behavLor rras agsumed to be an adequate sample of the

total behavlor of a person (Arntdon & Flanders, 1971). several

regearchers have used or oodlfted FIAS tn the research process (Amldon &

Hunrer, L966; Bahneman, LglL; cheffers, L9l2; Kurrh, 1969; liancuso, L972;

Melograno, LITL). Cheffers (L972) modlfled FIAS to code both verbal and

Page 14: Environmental analysis and interaction patterns of high

nonverba■ behavior in phyeical activity areas. This system is,k■ own as

Cheffers' AdapLatiO■ of Flanders' IntOractiOn Analysis System (CAFIAS).

CAFIAS has been used in numerous interactiOn analysi8 8tudies ovef the

years (Cheffers & Mancini, ■978).

Thご need for objective information involving the actua■ behaviors

that are exhibited in the coaching environment is evidento Too‐ ofぜbn

the coach is evaluated only by the season'b final recOrd. liitt■ e conこ ern

is given to the types of behaviofs exhibited by the coach during practice

and game conditiOns. on the same note, the・ coach seldom takes into

consideration his/her own actions.dtring these specified timeso IA can

be used to obtain reliab■ e records of、 spOntaneous verbal and‐ ■onverbal

behaviors (Cheffer, 1972)。

Agnew (1977), Avery (1978), Barr (1978), Hirsch (19ブ 8), and Kasson

(1974)have ご■l used ■A to study cOaching behavior. IA has been found '

to be a re■ iable too■ in such investigations. These researchers have all

indicated a need for further study in tliis growing area of research.

The sophistication Of the sports wOrld continues to grow. The

behav■or that the coach exhibits and the total team envirorllnent are 、,

■ .

important factors in the athletic process. The sati3faction level‐ a、■ ._

tean dis,■ ayS Tnny p■ ay a large part in ■ts overall success.

Mbos (r969)reported that・ different sOcial climnteざ・have unique L

personalitiese Various types of students were found to,functiOnL bettef

in different groups (Mbos, Van Dort, Sma.11, & DeYoung, 197b)。 MoOs

(1969)concluded that as long as there are large perceitagds of variance

due to person― setting interacti9nS, the particular bさ havi9ral potential

of the person― setting unity must be iore carefull, Studied。 弓 _ =:

It is relatively easy to,see thq implicdtion of the study of " ・

r . _、 ‐ 、 ¬ 卜J

‐ ヽ こ ~ ・・ ‐

= ` . ‐呵

Page 15: Environmental analysis and interaction patterns of high

3

environments to the・ sport scene. The coach who is aware of the feelings

of team p■ ayets can be.■ore effective in the leading of that tedm. In

■oSt tean settings, the coach is in a position to control and manipulate

the team envirOnment. By analyzing c9aこ hing behavi● セs in Sati3fiea and

less satisfied environments, behaviors that are ■ore codducite tO tie

establishment of pOsitiヤ e environmと nts can be found.

S19pe Of P± Oblem 〔 “

The study compared the behaviors of coaches in tづ o different

athletic environmentso Mhle athletes and coaches from 10 varsity

basketball teans served as subjects. These coaches and ath■ etes, who

were from the central New York State area, were vidё otaped a tota■ of

four times eacho Aftё r the first taping session, the players and tle

coach filled out Fo.Ш R of the´ Group Environment Scale (GES)´ 。 This

measured their perceptions oftttheir tean environment. After the fourtビ

taping sesslon, Fo.u1 l of the GES was comp■ ざtede This scale measured

their perception of what the ideal tヒ am environment wou■ d be like. Mean

scores for each of the 10‐ subscales of the two forms were compared for

each teanご Absolute differences wёre totaled giving a final discrepancy

intervale Teans that had the five sunlleSt discrepancies.iere pldced in

the satisfied group. The remnining five teams were placed in the less

satisfied group. Multivariate analysis of variance was perfp.uled tざ

determine if the results of F6.Щ R and_Fo..I I of the CES were different.

Univariate unalysis of variance was then perfふ .uled to detёェ"ipe wrich

variables accounted for these overall differences. The CES data‐ were L

then subjected to discriminant function analysis・ to deteLuine the _

percentage that each variab■e accounted for towards this difference.

Comparisons were ■lade beLween the cOachest and athletes' perceptions as

L′ r

゛ 

L“

Page 16: Environmental analysis and interaction patterns of high

4

recorded on these two forms. CAFIAS was used to code the videotapes to

determine the behavLors that were exhibited. The Kruskal-Wa1lls one-way

analysis of varlance rras perforned on the 20 CAI'IAS variables and the

26 CAFIAS paraneters to determlne slgniflcant differences between the

two groups.

Statement of Prob]-em

CAIIAS was used to compare the behaviors of coaches Ln the

satisfied and the less satisfied teams. Several comparisons were inrde

wlth the GES data. Thesti included (a) the athletest and coachesr

perceptions of thelr environment in relatlon to an ldeal envirol'lment,

(b) the playerst perceptions of thelr envlronment in relatlon to an

ldeal envlronment, (c) the coachest perceptlons of their environment in

relation to an ldeal envlronment, and (d) the perceptions of the players

and coaches using only the ideal envl.ronment data.

Major Hypotheses

1. The two different environments w111 contain signtficantly

different coaching behavl6rsr as.'determlned by CAIIAS.

2. The environmental perceptlbns of the pLayers and the coaches

wll-l be slgnificantly different

3. The athletesr environmental perceptions of ihe real and the

ldeal environnents w111 be signlflcantly different.

4. The coactiesr envLronmental perceptlons of the real and the

ldeal envLronments w111 be signiflcantly different.

5. The perceptlons of the ldeaI envl-ronment when comparlng the

coachest and the players! data will be signiftcantly different.

Page 17: Environmental analysis and interaction patterns of high

5'

Assr:mptlons of Studv

The following assumptions were made for the purpose of thls Btudy:

1. Four 3O-mlnute vldeotapes of edch coach and hls tearn w111 yleld

enough data to te6t the hypotheses.

2. The data that the coaches and play'ers have glven on the GES are

true'characterlstlcs of thel.r envlronment.

DefLnltlon of Te:ms

1. Ttre Group Envlronnent Scale (GES). . The GES ls a test devlsdd to

measure the sbclal cllnate oi " gto,rp (Moos, Insel, &'"Humphrey, L974).

2. Cheffersr Maptatlon-of Flandersr Inteiaction Analvsis SVstem

(CAFIAS)'. CAI'IAS ls a systrim deslgned to foeasure the vbrUal Lnd the

nonverbal interactlon between the teacher and the student (Cheffers,

L972).

3. .Flandersr Interactlon Analvsls Svsten (FIAS). FIAS ls a syst'eni

deslgned to ileasure verbal lnteractlons between- the teacher and students

as they occur in the classroom (Anldon & Flanders, 1971)

4. Interacrlon Angrysis (IA)_. IA ls an observational techniqile"

.n".'""offiyofteacher-pup111nteractionofbehav1ors(Flanders,1970)

5. Soclal Cllmate. Soclal cllnate represents one of the nariy ways

ln which htrman envlronments may be characterlzed (Moos, L974a).

6. Coheslon. Coheslon ls the extent of Lnvolvdrirent and cooperatlon

that extst, in _a

group arid the league of friendship that membeis have for

one another (Moos, Insel, & Hunphrey, L974).

7. Leader-Support. Leader supPort ls the amount of help, cohcern,

and friendshlp dlsplayed by the leader of the group (lioos, Insei, &

Ilurphrey, L974).

Page 18: Environmental analysis and interaction patterns of high

6

8. ExpressLvensss. Expresslveness ls the ablllty of members to

freely dlsplay their feell-ngs (Moos, Insel, & Humphtey, L974).

9. Task Orientatlon. Task orientation is the degree of erophasls

placed on concrete tasks (Moos, Insel, & Humphrey, Lg74).

10. Self-Discoverv. Self-discovery ls the ablllty of the group to

discuss personal detalls (Moos, Insel, & Hr:mphrey, Lg74).

11. Independence. Independence refers to the degree of tnd'ependent

expresslon tolerated or encouraged in the group (Moos, Insel, & Humphrey,

L97 4) .

12. Anger and AggressLon. Anger and aggression refer to the degree

to whlch there is expresslon of negatlve feellng wlthin the group

(Moos, Insel, & Hr-rmphrey , L97 4) .

13. Order and Organization. Order and organLzatlon refer to the

degree to which the group is structured (Moos, rnsel, & Humphrey, L974).

L4. Leader control. Leader control ls the degree to whlch the

leader dLrects'and enforces the ru]-es of the group (Mobs, rnsel, &

Hnmphrey, L974).

15. rnnovation. rnnovation ls the degree of diversity that ls

encouraged in the group (Moos, insel, & Hurnphrey, L974).

16. Coder Re1iablllty. Coder rellability refers to consLstent

evaluatlon on the part of the videotape coder at an acceptable

slgniflcance 1evel.

1-7. Direct Teachlng Behavlor. Direct teaching behavlor is the

teachlng behavior dorninated by the teacher that discourages studentst

freedom (Flanders, 1970)

18. Indirect TeachinE. Indirect teaching ls teachlng behavlor

doninated by the teacher that encourages lnteractlon from the students

Page 19: Environmental analysis and interaction patterns of high

(Flanders, 1970)。

■9。 Nonverbal Behav■ oro Nonverbal behav■ or is observed behavlor

that is not audib■ e (Cheffёrs, 1972)。

203 Verbal Behaviore Verba■ behavibr is observed audib■ e

behavlor (Flanders, 1970)

Delln.ltatlons of Study

1. Male varslty athletes and coaches ln the centr'al New Ybrk area

were the only subjects involved ln thls study.

2. Dlfferences in coachesr behavlor"s were classlfLed only through

the use of CAFIAS.

3. -The soclal atmosphere of the athletlc cllnate lras measured only+

through the use of the GES.

4. Each coach and hls team was,obsdrveiC only four times.

Llnltatlons of Study

1. The redults nrly not hold true lf the study was to be conducted

outslde male varsify athletes and coaches ln the central Ndw York are-a.

2. The results may not be conslstent lf another lnteractlon

analysls system ls used.

3. The results uny not be consistent lf another s"cale, other than

the GES, ls used to measure the social clfrnate.

Page 20: Environmental analysis and interaction patterns of high

Chapter 2

REVIEW OF RELATED LITERATTIRE

The revlew of related llterature relevant to

on the followlng areas: (a) descriptive analytlc

(b) analysis of physlcal educarion,and arhlerics,

(d) Group Environment Scale, and (e) sumdry.

thls studj'w111 focus

techniques,

(c) soclal clLmate,

DescriptivO Analytic Techniques ・

EducatOrs have been searching for the■Ost effective means to

eva■uate teachers, coaches, and the educatiOn process fOr many years。

Anderson (■ 939)conducted the first study of ptipil‐ teachёr interactidn.

Resu■ ts indicated that ■ore productive classroom results cane about as

e reSult Of acceptance of student ideas as compared to negative feddback

in the foこ Ш Of rejection of students' ideas.

It was Anderson (1971)who said that there is a need fOr a mOre

thorough and empittically based understanding of the teaching prOcess。

He suggested that descriptive anO■ ytic research cOuld provide the tools

of inquiry as well as the needed data rO intelligent■ y ■onitor and

guiと e・ the pせ ocess,Of change in physical educatiOn。 _

Interaction analysis (IA) is a too■ that, if emp■ oyeu properly, can

be used bシ teachers in ■mprov■ng their role in the guiding Of their

pupi■ s th10ugh the learning protees (Amidon & Flanders, 197■ ). F■ anders

(■960)reports that IA is an observatiOna■ technique that tan be used to

obtain reliable records of spontaneOus verba■ statements. He suggests

that the use of IA shou■ d be inc■uded in the training Of student teachbrs.

Instead of emphasizing knowledge, which we think teachers will need to

8

Page 21: Environmental analysis and interaction patterns of high

:ヽ、

kuow in order to teach ,ot. "ff"ctlvely, Flanders (1960) -says we should

instead turn more to an analysis of teaching acts as they occur in

spontaneous classroom lnteractlon.

Teachers, by studyLng thelr own behavior in sorne systernatic,

obJectlve rf,ay, can gain lnsLght lnto thelr personal patterns of teachidg.

As the Patterns.are establlshed, teachers nay decldb a change is needed

because the patterns mey not be as they thought them to 6e (anldon &

Flanders, 1971). Interactl.on analysls ls one method of t"."t.r education

eofathat seema to contrlbute to the development of a dlfferent typ

teacher. This ndw type of teacher seems to be one who uses teachlng

fatterns that have been shonrn throuih research to be positively related

to student achlevement (Ainldon & Flanders, 1971). The flrst people to

glve tralnlng in lnteractLon analysls to student teachers were Anldon

and Hough (Antdon & Flanders, '1971).

Flandersr Interactlon AnAlysls.Systen (FIAS)' was developed by

Flanders (1960).. A naJor feature of FIAS 1les Ln tts abtllty ro a11a]1yze

*lnitlatlve and'response characteLLstics between two or rnore lndividirals.

FIAS was created to code verbal behavlor only because I'landers felt lt

could be observed with higher reIlablllty than can nonverbal behavior.

Verba1 behavlor is assumed to be an adequate sample of the total behavLor

of a ierson (amtdon & Flanders, 1971). Shlffiir,an (L976) reporred rhar

488 educatlonal research dbcu'nents spannlng.a number of dlfferent settings

and research nethods had incorporated FrAS. rt was revealed that

approxLnately 10,000 teachers and 9,000 puplls had been obserrred through

the appllcatlon of FIAS. Shlffnan (L976) concluded Lhat early lnplica-

tions for the value of FIAS as an educatlonal tool were cbirfirmed.

Although FIAS has b6en popular over the ybars, soure researchers have

Page 22: Environmental analysis and interaction patterns of high

t0

found problems in its use. Kurth (1959) used FIAS to code the behavlors

of elernentary physical education classes taught by student teachers and

concluded that the use of FIAS ln physical educatlon classes ls llnlte:d

because lt does not make any provislon for nonverbal behaviors.

Bahneman (1971) also reported limitatlons in the use of FIAS for

descrLblng physlcal educatlon envLronments.

Since FIAS makes no provislons for nonverbal betrhvlor, eeveral

studles have been conducted to rnodify this system so that lt would be

more applicable to physical education classes. The Verbal catbgory

systern (vrcs) was developed by Anidon 'and Hunter (1966). Thls sysrem

was based on FIAS and was designed to help teachers control thelr verbal

behavlor. VICS was designed with the teacher education program Ln mind.

Dougherty (1970) attempted to dtfferentLate between three styles of

teaching physical educatl-oh by using a modlflcation of FrAS. A new

category, whtch rePresented periods of meanlngful nonverbal actLvity,

was added. Melograno (1971) also rnodlfled FrAS to arl-ow for the

ldentlfication of nonverbal beihavlors. when a teacher or student

nonverbal behavior occurred, the appropriate category-Lras recorded and

an ttntt was placed behlnd the nurnber to lndlcate nonverbal behavior

lIancuso (L972) fused FIAS wlth the Love Roderick (Love & Roderick, 1971)

verbal ,cat'egories and.formed a slngle system to which was added two

motor categories to allow for nonverbal,behavlor.

one of the most wideLy used idaptations of FrAS was developed by

Cheffers (L972). Chefferst Adaptatlon of the Flandersr Interactlon

Analysis System-(CAFIAS) was constructed to descrlbe classroom behavlors

ln classes prtmarlly concerned with physical activlty. In addltion to

verbal- behavlor, cheffers (L972) allowed for the codl.ng of nonverbal

Page 23: Environmental analysis and interaction patterns of high

11_

behavior which is,a predomlnant characteristic oi pty"f.al- education

classes. CAI'IAS has .been used in many different types of investigations

(Chef fers & L1ancinl; 1978). Recently, CAFIAS has been shoirrn to be an

effective tool in looking at coaching.behavior (Agneru, L977; AdEiy,

L978; Barr, L978; Hi.rsch, 1978).'

Analvsis of Physlcal E-ducaqi-on and Athletics

f.ocke (L977) reports that research methods in the area of'phj'sical

educatlon have been unique. These nethods do not conform to the rules

ttiat govern applled or basic investigation. It seems apparent that the

processes have been designed to sol-ve a purpose other than the

accr:mulation of knowl-edge. Locke (Lg77) concludes that, as a conse-

quence, the professlon has no cumul-atlve body of knowledge about

teaching and cognitive processes that is related to skilI dcqulsidion.

Many writers have made reference to the coach as b'eing a teacher

(Gallon, L974; Gaylord, L967; Keith, L967; Sabock, L973; Turko.& trLichards;

LITL). It would thus seem i.mportant that coaches be'given a backgroun-rl

that alLows them to develop the skills of a teacher ln their codching

duties. According to Frost (L971), coadhes are physical educators. h;

They are working with the development bf individuals through physical

actlvities. Their techniques, methods, verbal language, .and acts can

have a modifying influence on the athletes with whour they work. Frost

(L971) concludes that coaches and'physical education teachers who can

keep ln nind the objectives of physical education as they go about their

teaching and coaching are indeed educators in the truest sense. t"tbore

(1970) te11s us that a good coach ls usually a good organizer. How

well one organizes the elemehts at his/her comnand wiLl largely decide

the success of his/her program. According to cratty (1973), superio r

Page 24: Environmental analysis and interaction patterns of high

L2

coaches possess personality traits reflecting emotional self-control,

aggresslveness, and intell-igence.

Researchers have attempted to look at the traLning and background

of coaches. Maetozo (1965) looked at the,professional preparation of i

interschol-astlc athletlc coaches in selected sports. Results showed

that a number of professional educatlon courses wlthin the reconrmended

areas of preparation had not been conpleted by 3071 to 702 of the coaches.i

Melnhardt (1970) found that until the last decade llttle serLous thought

was given to the extracurricular portion of the student teacher

experience. Essllnger (1971) clalms that coaches who lack professlonal

preparation are handlcapped ln obtalning the social, moral, ethLcal,

mental, and physical values inherent in Lnterschool sport, and they also

are not capable of piotecting the health and well--being of the

partlcLpants. As a result of thls type of preparation or lack of it,

HatLem (L972) has reconrnended that head athletic coaches be.certl-fled.

Ia L974, the A,merican Alllance for Heal-th, Physical Bducation, and

Recreatlon establlshed a task force to recognLze competencL6s for the

certiflcation of hlgh school coaches (Evans & Evans, L979). The

imrediate Job of thls'task force was to speclfy rninliaal ptofessional

preparatlon for hlgh'schooL coa'ches. The MIIPER and various state

educatloh depdrtments have developed somewhat parallel tiut primarlly

separate bnd lndependent tracks for certLflcation of high slchool coaches.

It is apparent that there is a need for a standardized type of

certlflcatl.on for coaches. Stuart (L962) reports that the State of New

York does have certiflcation requirements for tts phystcal educatlon

teachers and coaches.

Although there are still many unqualtfied coaches ln ithletics,

Page 25: Environmental analysis and interaction patterns of high

13

attemPts are belng made to remedy this sltuation. Ga11on (1969) reports

that "a coachlng mlnor program Ls avallable at the unlverslty of

calffornla. stier (1970) reports of an intern program avdildble at

BrLar Cllff College ln lowa.

There has been little research that- has dealt with coaching

behavlor. UntI[ recently, studLes of this nature have used techniques

that consisted of questionnaires and personallty trait lnveiltorles.

LaGrand (1970) Lnvestigated the range of responses of athletes to the

behavloral characterlstl'cs of' thelr coach. Ihe Semantic Dlfferential

Scale wB,s used to measure the behavloral characteristlcs of'the coaches.

Ttre study found slgnlfLcant differencea across different sports.

LaGrand (1970) found that each sport tiad lts owir lndlvlduallty and

assoclated behavtoral characterlstLcs.

The success of hlgh school coaches who exhibit an authorLtarian

personallty was lnvesdlgated tiy Penman, Hastad, and cords (1974). A

dognatien questionnalre was given to 30 head football and basketball

coaches. The Lnvestlgators found that the more successful coaches werE

more authorltarian.

' The personalltles and social.orlentatlon of the teacher and coach

lrere examlned by Hendry (L974). Physlcal education teachers and ,coaches

from the college leve1 conpleted -a personallty inventory. The

investlgator conclud'ed- that coaches do possess a number of p"r"orrallty

characterlstlds separatlng then frm physlcal educatlori teachers,. The

coaches proved to be organlzed indlvlduals who rilere more controlled than

..teachers although they had restricted ldeas. Teachers rrere found to

hive q-ualltles of overt sociabllity, high asplratlon, and de3ire.

Multldlnensional scallng and factor analysls of coaching behavLor,

___■______―――――――― ′ 七`11ゝレ._

Page 26: Environmental analysis and interaction patterns of high

a-

L4

as.percel-ved by high school hockey players, was used by Danlelson,

Zelhart, and Drake (1975). A questionnairb was administered to 160

players attending a suumer sport camp. The investigatois conCluded that

the hockey coaches displayed integrative behavior designed to moLd their

players into a team. AJ-so, the najority of behavior in hockey coaching

appears to be related to the dissernlnation of information either to or

'from the coach.

The use of interaction analysis (fn) nas been used by researchers lto look at coaching behavior. The patterns of teaching behavlor related

to the c■imat9 of physical education classes were determined by

observational rOSearch in a study by Bookhout (■ 967). This was the

first study to use IA in physica■ education. A■odified version of the

Observation Schedule and Record was used in the 36 phySica■ education

classes in the study.

ヽ A study comparing teaching and coachihg thrOugh the use of IA was

conducted by Kasson (1974). The MancusO Adaptation for Verbal and

“ Nonverba1 0bservation System (Mancuso, 1972)was used. Findings showed

that the athletic coaches were not ■ore direct in the teachidg of

physica■ educatiOn c■assq。 |lan in their coadhing. The ■ost frequent 、

lehaViOrs in teaching were found to be verbal lecturing, dPitlonstrating,

performance of phys■ cal iξ killし , ■onverbal directions, and s■lence.

Coaches used verbal lectur■ng, de■onstrating, and s■ ■ence as the

predo■■nant behaviors。

Agnew (1977)compared the behavibr pattein, of femnles while 、

teaching and coaching. Findings showed_that interaction between the

i pupi1/athletes and the teacher/coaCh WaS ■ore e,ident in the coaching

settinge F● mnle instructors used IIIore pra■ se and acce,tance dざ 士ing the

Page 27: Environmental analysis and interaction patterns of high

bo'achlngr Sbtttng. In coachlng, the individualts

pupll-initiated behavior were observed in greater

15

use of questionlng and

pr6portions th-an in

the classroom setting.

' Bair (1978) tested the effects of instru-ctlon in cAIrAs on tfre

coachlng behairior of secondary school.varslty' coaches. .Results showed

that the treatment subjects, who had recelved instructlon lri CAFIAS,

irsed more questLoning, acceptance, praise, and all-owed more pupil'-.

lnlriated bdhavlor

Avery (1978) used the Coachest Performance Qgestionnaire'to dlvide

co'aches into effective gnd less effective groups. The two vide-otapdB oi

practice sesslons were codbd through the rise of cAFrAS. Analysis

Lndlcated that effective coaches display rnore indirect behavior than tHe

less effectlve coaches

The Gioup Environment Scale (Moos, Insel, & Iftinphrey, 1.-974) was

utlllzed by'Hirsch (1978) to lnvestlgate behavloral differences bdrii;edn

coaches from two. social clidrates. Teams were-placed in either a

the way the athletes

respondeld to the Gt'oup Environnent' scale (crsy -. A nedlan-split

technlque was used to.dlvide the iiro groups. Slgnlficant differenCes

in the CAFTAS data of the two grbups were determined by use of multi-

varLate analysis of ttre CAFTAS data. The irivestigator found frore

interaction between the coach and dhe athletes ln the satisfied group.

There was more pupil initiated behavior and more praise used tiy the coach

ln the satlsfled group. Teams that were satisfied wlth thelr environ:

Eent were genErall-y cohesi,ve, well oiganized., and had strong leader

support whlLe those ln the ,roa ""af"fied groirp lacke'd these

characteristlcs. . poache,s pbrceived thelr environment as beln-g closer .to

Page 28: Environmental analysis and interaction patterns of high

16.

ideal than thelr athletes in the same enviro-nment. Cratty (i97g) and

*Percival Gg74) also reported that perceptions of the athletes and coaches

were different.

Other systems have been developed to assess the behaviorS of the

coach and'physical educator. Tharp and Gallimore (1976), through

scientific analysis, looked at the methods of John Woodeh from UCLA."

T,he study used 10 basic categories involved with different behavior

patterns that l,Iooden exhiblted during practice sessions. The

researchers believed that such a case study, based on a teacher with

i-rtmense cred.entials, should contribute to a better understanding of

human learning. Tharp and Gallimore (L976) concluded that woodenrs

preclse, lntense methods were more effective than the clumSy tricks of

standard pedagogy. . ,A behavioral assessment system for coding and analyzing the

behaviors of athletic coaches in naturallstic settings was developed by

Snith, Snoll, and Hunt (Lg77). The Coaching Behavior Assessment Systen

(cBAs) was used to describe 12 behavioral categories derived from

content arial-ysis of coaching behavlors during practices and games. The

study concl-uded that an obseirer can be trained in the use of CBAS and

that thls system is more useful in sports such as baseball and voll-eyball

than in basketbal-l and soccer.

Bain (1978) conducted an investigation that described values and

norms inpl-lcit in secondary school physical education,classds And athl-etic

team practices and tested the hypothersis concerning male and fenale

physical educators and between coaihes and teaehers. A 1976 revision of

the Impllcit Values Instrument was used. Resul-ts indicated that female

subjects achieved higher scores on privacy and instructional achievement.

Page 29: Environmental analysis and interaction patterns of high

L7

Teachers sbored lower than coaches on privacy, instructional achlevelnent,

and speclficity. Coaches scored lower than teachers on the universalism

dimension. Baln (1978) concluded that the sex differences ln the irnplicit

values of physical education teachers and coaches seem to refl-ect the

sex rol-e expectatlons of soclety and differences ln the soclallzation of

men and lilomen physical educators into the,teaching ro1e. The results of

this study conflrm those of earlier research in flnding that fe",aIe

teachers and coaches protect the prLvacy of students to a greater extbnt

than do male teachers and coaches. The higher score on lnstructional

achievdmdnt indicJtes that the women emphasized sklll acquisitlon to a

greater extent thari did the men. The high specificity scores lndicated'

that athletic team practic& were intensely focused upon the attainment

of skilled perforcmances. "

Crossrnan (1978) adapted observation lnstruments, wtrlch wepe

orlglnally developed for the analysls of teacher and learner behavior in.

physical education, to the sport setting. Crossman and Siedentop (1978)

have developed a dystem for relatlng preco'mpetltlon behbvior to

subsequent performance. Reient pilbt studles indlcate that cl-ear

dlfferences rnay exist between coaches of different levels even when thef

are coachlng the=same athletes in the same setting.

Social C■ lTnn te

Moos (Lg76) tells us that social climatesr llke people, have uniqud

per5onalitles. Social- cllmates can be portrayed with a great deal of

accuracy and detall. Some cllmates are more supportive; some are rlgld,

autocratic, and controll-ing; and some are characterlzed by order, clarity,

and structure. -Obviously, one of the most valuable uses of the soctal

clirnate scale is to provide a detail-ed description'of how various

ご ロ

¨̈̈r

¨

Page 30: Environmental analysis and interaction patterns of high

18

parEicipants in a particular setting view that environment.

- One of the major ways in which human environments can be

characterized ls through the assessment of the social clluate. It Ls

quite important that we are able to identify sinilar uirderlying dlmensions

along whlch very different social climates can be characterLzed. This

allows us to compare different environments. This may be helpful in

allowing us to identify the reasons why a person does well Ln one

setting but qulte poorly in another (Moos, L974b). Informatlon about the

social- climate can be fed back to the participants in _a social setting.

Ihe logic is that this kind of feedback can motivate people in the

particular environment to try to ehange it (Moos, 1975). Schroeder

(L979) has completed a study tn,whi6l results from the Grbup Entiroriment

Scale (Moos, Insel, & Humphrey, L974) and a personality inventory were

fed back to staff members. The developnient of rnethods for assessing

social environments and for making the results knor,m to the participants

through feedback has been motivated in part by the deslre to facilltate

planned chang'e in social settlngs. (Moos, 1973).

According to Kiritz and Moos (L974), the neasurement of the

envlronment is a relatively recent developmenE ln psychology. Measurement

of the perceived environrnent is a particularly pronisin! field of study

for the systenatic investigation of the general norms, values and other

characEeristics of the erivironment. Moos (Kiritz & Moos, L974) and his

associates have studied nine tyt'es of environments.and have developed

social clinate scales for each of the following: (a) psy'chiatric.wards,

(b) comunity oriented treatment programs, (c) correctional institutions,

(d) nil-itary basic trai.ning'companies, (e) college .dornitories, (f ) junior

and senior high school classrooms, (g) prlmary work group environnents,

Page 31: Environmental analysis and interaction patterns of high

…T・ =`

19

(h) therapeutlc and task-oriented groups, and (i) families. The premise

that environments, like people, have unique personalLties is what

insplred Moos'and his associites to develop these scales (xtrttz & Moos,

L974)

'Kirltz and Moos (Lg74) believe that social enViroiments,have

important effects on physlological processes. The effects may differ

from person to person; tberefore, it is difficult to make couclusiofis

.about the speciflc kinds of effects. The investigators do say, however,

that lt does appear that the social stinuli associated with the

relationship dimensions of support, cohesion, and affiliation generally

have posltive effects that can enhance oormal developrment. Kirltz and

Moos (1974) conclude that measurement of percelved sociaf cliinate could

provide a brldge bEtween objective envlronmental influences and the

physiological responses that are associated with them. Thus measurement

uright enable us to rnake'environments healthier in general.

One problem that. mry occtir ls that thbre may be substantial

differences among lndivlduals in the way in which the satre enviro'nment

is percelved (Mocis & Bromet, 1978). The llnited empirical evidence that

is"available indicates that personal characteristics are only ninirnally

related to erivironmental percepcions (Moos, L974b). These findings are

iinportant since they suggest that psychological assessment procedures must

systeuatically sample'both persons and settings-in order to predict

behavior accurately.

Even though perceptlon of environments is independent of a wide

range of background influences, lt is related to an indlvidualrs role

posLtlon ln the envlronment. rn general, those who liave more

responslbllity for an.envLronment view it more favorably than those not

Page 32: Environmental analysis and interaction patterns of high

20

responsible (Moos & Bromet, 1978). This is why coaches percelve teau

environments more favorably than their pl-ayers. Environmental percep-

tLons are also related to how well people actually functLon in an

envlronment. Those who,perceive the environment more positlvely tend

to be more satisfied with and perform better in the particular

envlronment (Moos & Bromet, 1978). Ihe coach is in a position to

change and modify the teau environment, so that a positive setting exlsts.

Moos (l-974a) reports that it ls irnpossible to establtsh weLl-deflned

criteria for an ideal environment that can meet everyoners requirements.

Members assoclated wlth different environments woul-d undo'ubtedly have

different criteria and different goals. When critical decisions about

changing the environnent are in the hands of the people who function

within th6 environment, tl. likelihood of achieving an oprimum

envlronment is greatly facilitated.

Studies utllizing social climate scaLes have indicated that the

studying of social clinates has significant implicatlons. Moos (1969)

conducted a study with I-6 psychiatric patients. Results showed that

persons, settings, and person-setting interactions generally account for

signifieant and important portions of the total variance in behavior.

Moos (1969) concludes that as lohg as there are large percentages of

variance due to person-setting interactions, the particular behavioral

potential of the person-setting unit must be more carefull-y studied.

trltren looking_at coaches and sport teams, it seems necessary to take

these flndings into consideratlon and look at the person-setting unit

nore careful-ly.

Moos, Van Dort, Smail, and DeYoung (1975) identified five different

cl-usters of f-iving groups in a study uslng a simple of 100 university

Page 33: Environmental analysis and interaction patterns of high

llving gFOupso Results showed that different clusters were cohducive

academic achievement, independence, and competitiO■ . Var■ Ous types ofす

students lrere also found to functLon beEter in different living groups.

This may explain why athletes w111 function well in one'team settlriL,

but pborly in another.

Schmuck and Sctmuck (1975) reported that classrooms ln which

students and teacters support one another facilitate the development of

self-esteam and provide the opportunity for students to use fheir

lntellectual capacities to their utmost. The interpersonal power that

students feel in regards to thelr classmates, or the leveIs of conpeteince

and skllI thit students perceive themselves to have*, ilso encourage

Posit,lve feelings about school and increased invol-vement in classioom

tasks. Schmuck and Schmuck (1975) state that'posi'tive classfo-om-cllmqtes

are norJ cortrtron in nany educatj.onal settings. The coach, by means. of

building positive climates, nay aetually increase the level of

competence ttrit hts/her teams ultimately display

Grgup Environment Scale

MOos and hls associates at the Social Ecology Laboratory,,at

Stanford Universlty have made substantial contributions torriard deveJ-op-

lng an lndepth program <if characterizlng and assessing the psychosocial

qualltles of envlronments. They have studied extensively.'rilrany different

envl,ronments and have developed perceLved d-caLes for dach of these.

Included ln these is a scale for group environments.

The Group Environment Scale (CfS) initially consisted of 2LL ltems

whlch rilere constructed to dlstinguish dlmenslons adrong different groups

(Moos, rnsel, & Humphrey, L974). other scales, whlch meisure social

clluate, were used ln the creation of thls scal-e. Fbrm A of the GES was

   o

 

 

Page 34: Environmental analysis and interaction patterns of high

22

adninistered to merobers and leaders in 30 and 26 groups respectively.

The[sample included six different types of groups. These groups rangedtin Size from 8 to 50, and the 1-ength of existence of the groups varied

frorh 1 to 5 years. Leaders were absent in some groups, members eLected

leaders ln other groups, and others had l-eaders appointed by indlvlduals

or organi.zatlons outside the group. The goal was to make the GES

applicable to a wide range of groups (Moos, Insel, & Humphrey,1974).

Four criteria were used to.reduce the scale to a 90-iten

queltionnaire: (a) each item should discrirni.nate significantly among

groups at the .05 level, (b) the overaLl itern split should be. as close

to 5O-SO as possible to avoid items characteristic on1-y of extrene

grotips, (c) ltems should correlate higher with their oyn than with other

subJcales, ahd (d) each of the subscales should have an equal numfer ofI

Itrue-false responses (Moos, Insel, & Ilunphrey, L974).

Only two items out of the 90 failed to discriminate significantly

at the .05 ■evel. Each of thb 90 iteIIIs corre■ated highest w■ th its om

su:!cale, and only three ■tems correlated below .40 with its own

sublcale (Moos, Inse■ , & Hl17nphrey, ■974). ・

The GES cons■sts of three for■ s. Fo.ul R can be used to assess

character■ stics that are present in the actual env■ ronment. Fo.ul I

indキCates how group members would envision an ideal environment. FoLЩ

E slrveyS What group members would expect the environment to be like

befire they enter the grOupO Forls R and l cen illuStrate the need fOr

illi1litiご ilel[alil ][ld[[[b[[elalu[iail:[i][lidil:i:y(ililifiis[iia]

Humlhrey, 1974). Studies by Bal,Ih and Nutter (■ 974), Duncan and Bri■ 1

(1977), Lindauer and Ribner (1977), Menard (■ 974), schroeder (1979)and

Page 35: Environmental analysis and interaction patterns of high

下腎

~~~~~ ~~

23 ・

Waters (■ 978)have been some ear■ y illvestigations using the CES.

l Baum and Nutter (■ 974), using the ideal fo.Ш of the βES, ■ooked at

counserbrs at two different a■ coholic tr・ ntment faci■ities. SImi■ ar

lerieptiOns were found between the two groups which led the ■nvestigators

to conclude that Fo.Ш ・■ of the CES was a■ effeCtiVe t6o■ in measur■ ng

andlevaluating suCh p“ grans.

Dunchn and Bri■ 1 (1977)used the cES in a study invo■ ving ui・7nbers

of iesidentia■ cOttages and group homes that were part ofia treatmentt

Orilnted correctiona■ faci■ity. The cllmnte of the correctiOial ・

facility was assessedo Results indicated that the staff members

perleiVed their working teans to be higher、 than average on all the CES

dimさnsiOns except anger and aggression. The ■nvestigator compared

perieptiOns among cotl五 ges, a]ing group hOmes, and between the cottages

and lthe group homes. Duncan and Bri■ ■ (■977)conc■ uded that the CES coulil

accurately measure the clinate in these different groups。 1

1 The CEShas been used t6 assess environments at correctionalfaCili:ies and juVenile de■inquelt C[li:[iiellili[it i:::ir isiili[i:ed _

COЧld accurately descr■ be

ish group differences. Lindauer and

l grOup leadersi nd membこ fs ■■ 9Fder

hops, and one music performance at

o The investigators recommended

` fOr lrOviding leaders.withfeedlack on how certa■ n workshoPs work as we■l aS the specific dinensiOns

9f t卜em at differeゴ r facilitieS・ Waters (1978)also usOd tho GES in a

|

correc|

tional facility to describe an ongoing grOup.

‐̂ 一

― ・こ ‐ ―

Page 36: Environmental analysis and interaction patterns of high

24

r Slhroeder (l-979) used Form R and I of the GES in an aPProach to

desi'gn ideal- staff environments. A four-stage Program was conducted.iI

thes'e stages included the cbnpletion of Form I, feedback and dlscusslon'

changi-ng the actual envlronment, and the completLon of Forn R'of the GES.

Iiesearchers have concluded that the GES could be used to iellably

measure the social climate of groups (Baun & Nutter, L974; Duncan &'Bril1,

L977; Menard, L974). Others have found that_the GES ean be used as a

tool to provlde feedback to group members and leaders (Lindauer & Ribner,

L977; Schroeder, L979). It is apparent from these findings that the

GES can be u'sed in similar rdays in sport envlronments. Knowledge of the

team'environment can be helpful to the coach in trying to find the best

cliurhte possLble. A1so, feedback to the team members can lead to the

changing of the environment so that positive feelings exist betweeri the

mernb'ers and the leader.

Sumnary

Educators have been searching for the most effective means tol.

eval'uate teachers and the education Process for many years. Anderson

I(19J9) was the first to conduct a study involving tedcher-student

instruction.

Interaction analysis has been used to improve teacher effectiveness.

Fladders (1960) reports that interactlon analysls (IA) can give anI

accrrlrate record of spontaneous behavlor. Flanders (1960) created FIAS

l_which became one of the frost widely used interaction analysis systems in

l.I

exis'tence. l.fany ?esearchers have used or adapted FIAS (Anidon & Hunter,t'r:I'L966,; Bahneman, L97L;-Kurth, L969; llancuso, 1972; Mel-ograno, 1971).I

One of the most wideLy used adaptdtions of'FIAS was developed by

Chef,fers (Lg72); CA,FIAS has been used in rnahy studies over the years

Page 37: Environmental analysis and interaction patterns of high

25

(Cheffers & Mhicini, 1978).

Much has been said and written about coaches and theitt role in both ・

education and athletics. Many have said that the coach is a teacher

(Frost, ■971; Ca■ ■on, ■9743 Gゴ ylord, 19673 Keith, 1967; Sabock, ■9733 . `

Tutko & Richards, ■97■ )。 Ca■ lo■ (1969)and stier (1970)have mnde

suggestions to improve the weaknesses in the fie■ d Of pドysic。■ ёducatiOn

and ath■etics that wil■ improve the quality of the toncher ■n the class― `

room and in the athletic setting.・ ヽ

1

Mbos (1969)reported the uniЧue persOnalities posseSSed by different i

social climaゼes. In 6rder to measure the sOcial,c■ 17nnte Of groups, Moos,

Insこ■, and lllmphrey (■ 974)developed the Croup Environmeit Sca■ e at

Stanfordo Thb sca■ e consists of three fo.us which can`be used to ・

identify characteristics in environmental settings. Fo.u R measures ´

characterigtics that are present in the actual enviぜ oIIIInent being studiё d.

Fo.Ш tt indicates hO● group mρmbers fee■ the ideal environment・ wou■ dibe. ‐

Fo.ul E measures the expectations of group members lefOre they enter the

groupo Mbos (■ 975)reported that information gathered can be fed back

to the group member, in order to motivate lhen tO change. UPon

rev■ ewing the litereture using the dES as a data col■ ection dev■ ce it

serllls that it would be applicable to sPort research dealing with cOeCぢ ing

behaviOr and social environmentse

三=_ _

Page 38: Environmental analysis and interaction patterns of high

Chapter 3

METHODS AND PROCEDURES ヽ

This chapter is concerned with the methods aid Procedures that were

uti■ ized in the pursu■ t of this ■nvestigatiOn. It includes the selection

of subjects, testing instrl・ Inent s, coder reliability, procedures, scoring

of data, treatment of data, and suEElary.

Selection of Subjects

The Subjects were 10 male head coaches of varsity basketball at the

high school leve■ in the central New York area. Coaches were persOna■ ■y

contacted and perm■ ss■on was granted for the gather■ ng of data. COaches `ヽ、

and Players completed info.uled consent fo.uls prior to fi■ ■ing and the

completion of the CrOup Environment Scale (GES). TheSe fOms gave them メ

/

a brief outline of the study and indicated exactly 中 ビ their invol●emont/・

would requ■re ■f they dec■ ded to participate.

Testing lnstruments

The following testing instruments were used in this study:

1. Verba■ and nonverba■ behav■ ors that occurred between the

players and the coach were recorded by Cheffers' Adaptation of Flanders'

Interaction Analysis System (CAFIAS). This system has been designed for

use in physical activity areas. The categories of CAFIAS are presented

in Appendix A.

2. The Cr6up Environment Scale (GES), deve■ 6ped by Moos, Insel, and

Hllmphrey (■ 974), was us9d by the investiLator to reCord characteristics

of the socib■ envir91111nent presen1 0n=rach tenFn. Two fo.us of the CES were

utilized. Form R of the GES ieasured tie coaches' and athleじ es'

26

Page 39: Environmental analysis and interaction patterns of high

27

perceptions of their real team environment. Form I of the'GES m'easured

the coachest and athletest perceptions of how they percelve the ldeal

environment to be. The variables that were used to classify tlie-

environment rilere coh'eslon, leadbr support, expressiveness, lndeiiendence,

task. orientatl-on, self-discovery, anger and aggresslonr. order and

organization, leader control, and innovation. The GES is a 9O-questi"on

test that takes approximately 15 minutes to complete.

Coder Re1labl1ity FI

The procedure used to assess coder rellabllity for this study was

the Spearman rank-order correlation. The ranklngs of four randomly'

selected practice sessions were coded at two different settlngs and

were subjected to the Spearman rank-order correlatiou.

ProcEdure

. Four vis■ ts were mnde to each schoolo During each v■ sit, lhe

basketba■■ practice was videotaped fOr 30 iinutes. Data col■ ected during

the four taping sessions were usedヽ in the fina■ analysis. The tapes

were coded through the use of CAFttASo A microphone was attached around

the neck of the coach to Obtain the verbal comlun■ catiOi that tOQk place i

between the athletes and the coach. At the conclusion of the first

taping sessiOn, the athletes and the coach cOmpleted Fo■ ul R of the CES.

At the conc■usion of the fOurth taping sessiOn, the athletes and the

c6ach were given.Fo.Ш I of the CES. The rё sults of these two

questiOnnaires al■ owed the researcher to c■assify the socia■ cli都hte of

each teant cOmparison, wete made between the athletest and coachesl _

、perceptions on these two scales。

`

Page 40: Environmental analysis and interaction patterns of high

CAFIAS data obEained

mean score for each coach

taping sessions.

28

Scoring of Data

from coding were placed on computer cards. A

was obtained by combining, data of the fout

Both forns of the GES were scored using a transparent overlay.

score for each of the l0 subscal-es was found on each.of the two forms.

A11 of the absolute differences between form R and I were totaled to

give a cumulative total for each team. The larger the total, the less

satisfied the team members were with their team environment. The

smaller the total, the cldser the team envifonment rilas perceived as

being idea1. These totaled scores allowed the researcher to'.place each

team in either the satisfied or l-ess satisfied group. This procedure

was accomplishe-d through the use of a median-split technique.

Treatment of Data

The Kruskal-Wallis one-way analysis of variance was performed on

the 20 CAFIAS variabLes and the 26 CAI'IAS parameters. Ttris nonparametric

test yielded significant differences on the variables and parameters

across the satisfied and the less satisfied groups. The relationship

between the 20 vari-ables was further lLlustrated through the construction

of a bar graph. The top 10 interaction patterns of the satisfied and the

less satlsfied coaches and their teams were gathered'and illustrated in

a table. Figures were al-so constructed comparing athletesr perceptions

of their environment in relation to an ideal environment, eoachest

perceptions of their environment in relation to an ideaL envlronment,

and athlet,esr and coache'st perceptions of an ideal"environment as shown

by the GES.

conparison of Form R and Form r allowed the researcher to place

!

f

Page 41: Environmental analysis and interaction patterns of high

29

teams into t\ilo groups. The first grouP consisted of five tedms that

were saflsfied with their environment. The second group conslsted-of .

flve teams that w'ere less batisfied wlth their entlronment. The GES

data were subjected to multivarlate analysis of varlince, followed by

univarlate analysis (HarrLs, L975). The .05 ldvel of signifLcance wds

used to test all hypotheses.

Sumnary

The subjects conslsted of 10 male head coaches involved with va'rslty

basketball at the high school level.in the New York State area. Ttre

behaviors of the coaches were compared in two different environments.

One group consisted of those teams that were satlsfied with thelr

environment. The second group was comp?ised of teems that wbre less

satisf Ledr wlth their environment. Each of tlie group's were vlde*otaped a

total of four times. Form R of the GES was administered after the first

taping session. Forin I of the GES was conpleted after the fourth taping

session. A neah score of the- coaches' Lehavlor patterns !ras- calculated

for. thise four sess-lons. The 20 varlables of CAFIAS and "thd 26

parameters of CAFIAS were subjected to the Kruskal-Wallls one-wa!

analysis of variance to determine slgnificant differences betiyeen the

satisfiad and the less satisfied groups. Figures were also cougtructed

comparing athletesr perceptlons of thelr environment in relatlon to an

ldeal enVlronment, coachest perceptlons of their environment ln relatloh

to ad ldeal- environmentr. and athletest and coachesr pelceptions of an

tdeal envLronment as"indLeated by the GES data.

The GES data wete subJected'to-multlvariate analysis of varlance,

followed by univarlate analysis. The .05 trevel of s'ignificancb,was

used to test all hypotheses.

ρ

Page 42: Environmental analysis and interaction patterns of high

[ .hapter 4

I alurvsrs oF DArA

I

Thlslchapter presents and analyzes the results that the investigatorI

found wheJr comparing the coachest beliaviors in the satisfied and the lessI

satisfiedlerrvi.orrlnts. Coder reliability as assessed through theI

Spearman i:ank-order correlation will also be discussed. In addltion'I

this chapl:er discusses the classification of teams into satisfied and

Iless satii;fied groups, information regarding athletesr versus coachesr

Iperceptioir of their envirorunent, athletest percePtion of their teamts

I

environme,lra tn relation to an ideal environment, coachest perception ofItheir teaJr environment related to an ideal environment, and athletdsfI

and coach,lst perceptions of what an ideal environnent would be like.

| *'eliabil ity of codert-In oi:der to assess the rel-iabllity of the coder for thisIinvestigafion, four vldeotapes, two from the satisfied grouP and two

I

from the iless satisfied group,-were.randomly selected by the investigator.I

Each tapelr"" "od"d

during two independent observation'periods. A

I

Spearman j:ank-order correlation for the two independent observationsI

was deterroined by comparlng the top 10 cel-L concentrations (sEb AirpendixI

B). The rhean.score of the correl-ation was .986 which nas sufficient toI

indicate [he coder was re]-iable. Data from the comparison of observationsI

are illus[rated in Table 1.II Analvsis of Athletesr and Coachesr Behaviorsl =---:--

A Krfskal-lJallis one:way anal-ysis of variance was-performed on the

20 CAI'IASlvarlables as th6y are described in Appendix A. Ttris

30

Page 43: Environmental analysis and interaction patterns of high

―‐―

― ´

 

 

Table l

Cbder Re■ iability

Team

3 Sati`fied (Tape ■) . 。985

4 satisfied (Tape 2) 。985・ 。986

7 Less SatisfiOd (Tape ■) 。985

10 Less Satisfェ ed (Tape 2) 。990

*.'-Coder reliabtrlity dete:mined by a Spearman rs cotrparison of th'e

-coding of coaching,behaviors for the flrst and second observatLons.

rS

Page 44: Environmental analysis and interaction patterns of high

32

nonparametrlc test atta]-yzed percentages of occurrence in the satisfied

and the less satisfied environments through a chi-square analy-sis. Thls

procedure takes inEo account the small number of subjects and compbres

ranks instead of means. Results indicated that 8 out of the 20 variabLes

were significantly different at the .05 level (see Table 2). Teacher

verbal acceptance and pupil initiated talk, verbal and nonverbal, showed,

slgnificant differences in favor of the satlsfied group. Teacher

infornation giving, verbal and nonverbal; nonverbal directlons; nonverbal

student response; and nonverbal student to student lnteractibn or silence

proved to be significantly different ln favor of the less satisfidd

group

The same Kruskal-wallis oire-way analysis of variance was also

perfor-med on the 26 cAFrAs parameters. Results indicated that

significant differences were noted on 9 out of 26 parameters (see Table

3). Student talk; percentage of verbal- emphasis; total pupil initiation,teacher suggested; teacher nonverbal- use of acceptance and praise; and

pupll verbal and nonverbal initiation, teacher suggested were found to

be statistical-ly different in favor of the satisfied group. Teacher

nonverbal, and Percentage'nonverbal proved to be significant in favor of

the less satlsfied group. The amount of nonverbal student to student

interaction in the fom of drills also proved to be significantlydiffererit in fairor of the less satisfied group. Results of the two

nonparametric te'sts led to the acceptance of the first major hypothesis

which state's that the two different environments will contaln

significantly different coaching behaviors as determined by c,a,FrAS.

Figure 1 further illustrates the behavioraL differences of thisstudy' Mean percentages of the CAFTAS viriabLes in the 'satisfled and the

Page 45: Environmental analysis and interaction patterns of high

33

Tab■ e 2 ‐

ANOVA of CAFIAS Variables for Satisfied and Less Satisfied Tanms

Satisfied(■=5)

Less Satisfied(i=5)

Variable M

一M

一SD SD H

2

■2

3

■3

4

14

5

15

6

■6

7

17

8

18

81

18ヽ

9

19

10

20

9。 74

■。68

■。00

0.26

1。 ■2

0.■ 6

■0。 95

■.91

4.66

0。 35

2.04

0.24

1。 06

3。 13

■6。 05

22.53

0。 54

0.53

■7.90

4。 30‐

4.47

■。58

0。 ■8

0。 ■8

0.15

0。 06

2.39

1.22

■。■3

0.17

0。 45

0。 20

0。 87

2.43

2。 33

2.90

0。 ■9

0。 ■9

3。 99

1。 75

4。 72

0。 7■

0.58

0.37

0。 78

0.2■

■5。 ■9

4.54

7。 6■

・1.59

2。 56

0。 63

1.68

■6.■ 0

■1。 04

15.05

0。 32

0。 32

9.54

10。■6

3.23

0.44

0.34

0.■9

0。 61

0.04

`4。 ■2

2.28

3。 34

1。 03

.0。 94

0.44

0.66

11.24

7。 04

6.42

0。 09

0。 ■3

6.99

5.35

0.076

o.675

0. 047*

0.25L

0. 1r-6

0.093

'0.047*

0.021*

0.173

0.021*

6.t st+

o.076

0.347

o.016*

o.347

0.117

0.036*

o.036*

0.117

o. o2g*

彙p く 。05

Page 46: Environmental analysis and interaction patterns of high

34

Table 3

ANOVA of CAFIAS'Parameters for Satisfied and Less Satisfied Teams

Satisfied(■=5)

Less Satisfied(g=5)

Parameter H

一SD SD

Teacher talk

Teacher nonverbal

Total teacher contribution

Student talk

Student nonverbal-

Total student contribution

Silence

Confusion

Total silence and confusion

Teacher questioning verbal

Teacher questioning nonverbal

Total teacher questioning

Teacher acceptance andpraise verbal

Teacher acceptance andpraise nonverbal

Total teacher acceptanceand pratse

Pupil- lnitiation verbalteacher suggested

Pupil initiation nonverbalteacher suggested

Total pupil initlationteacher suggested

29.62 3.73

4.57 2.33

33.98 2.89

■7。 28 2.50

26.48 2。 89

43.56 0。 92

4.66 1。 95

17.4■ 4。 ■6

22.06 2.84

8。 63 1.38

19.54 ■9.08

8.66 1。 25

59.37

70.54

60。 89

92。 73

88。 08

77.39

12.88

14.65

■3。 17

4。 71

8.94

7.56

3■ .33

7.88

39.21

9。 33

3■ 。61

40◆ 93

■0。 50

9.36

19。 86

4。 57

8.64

4.80

5.75

2.73

7.34

5.51

5。 70

3.99

5.39

6.89

3.57

3.41

5。 14

3.27

34.79 21.44

36.37 ■5。 33

35.34 ■9。 85

74。 54 ■5.88

52.77 26.33

56。 80 26。 08

0.9L7

0.047*

0.L75

o. 028*

0.117

o.347

0.047*

0.117

0. 251

0.075

0.465

O.LL7

0.076

0. 028*

o.o7 6

0; 047*

o.028*

o.028*

Page 47: Environmental analysis and interaction patterns of high

35

Table 3 (continuざ d)

ANOVA of CAFIAS Parnmeters for Satisfied and:Less Satisfied Tdttms

Satisfied Less Satisfied(n=5) (n=5)

Parameter M SD M SD H

\Pupil lnitlatlon verbal \

student suggested 3.77 ' L.57 8.07 7.53 0.602 \

Pupll initiatior nOnverba■student.suggested 2。 36 0。 99 6.39 7.88 0。 754

Total pupi■ initiati6nr ..student suggested 2f84 ■.12 5.8■ 5867 0.602

Content emphasis teacherlnput

Percent ofverbal emphasis

Percent ofnonverbal cu.phagis 35。 70 3。 69 49.98 1■ ,84 0。 0■ 6彙

CLass structurein one unlt

Class structure inindividua■ or grOup work 7。 90 11.14 14。 36 12.24 0。 245

*P ' .05.

24.28 4.28 30.30. 7.99 0.175

64.30 3.5g 50.02 11.84 0.016*

Page 48: Environmental analysis and interaction patterns of high

36

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Page 49: Environmental analysis and interaction patterns of high

37

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Page 50: Environmental analysis and interaction patterns of high

38

less satisfied groups lrere compared on a bar graph. Coaches in the

satisfied'group used more verbal and nonverbal praise, verbal acceptance,

verbal questions and less nonverbal,acceptance, nonverbal questio-ns,

verbal and nonv-erbal ihformation giving, verbal and nonverbal directions,

and verbal and nonverbal- criticlsm. Students in the -satisfied group had

a greater amount of- nonverbal predictable response, verbal and nonverbal

unpredictable response, verbal and nonverbal pupil initiative, and less

verbal predictable response. Teams in. the satl-sfied gioup displayed

more verbal and nonverbal student to student interaction.

Table 4 contains the top 10 ranked cell frequencies and their

percentage of occurrence for the satisfied and the less satisfied

groups. The density of tallies in the ce11s deternined not only

predominant coachesr and athletesr behaviors but also the se'qirence of

those behaviors. The use of a matrix permits the deterinination of

patterns of interaction which in turn permits objectLve descrlptlons of

the patterns of interaction in each group. The paEterns observed in the

satisfied group were extended athletest scrinrmage or interpretive drills

foLlowed by coachesr praise (81-10-81-2); coachesr information giving

followed by'more coachest information giving (5-8f-5); coachest dlrecti.on

giving followed by athletesr interpretlve response, followed by coaihesl

information giving (6-8t-51; and extended information'giving (5-5). The

less satisfied groups were characterized by extended athletesr scrima'ge

or interpretive drills, folLo'wed by coachesr information giving, athletest

interpretation, coachesr direction giving, followed by more athletest

inrerprerarlon (8t-10-8t'-5-8t-5-8r); exrended arhleresr drills 1a-10-8);.

extended information giving by the coach (5-5); and coachesr dlrections

followed by athletest drihs and interpretirre response (6-8=8\),.

Page 51: Environmental analysis and interaction patterns of high

39

Tab■ e 4

Summary of Mo,t Frequent lnte■actiOn

of Male Cbaches in satisfied and

Patterns among

Less Satisfted

the Top"10 Cells

Enviionments

Satisfied LesS Satisfidd 、

InteractionPatterns

Number Percent ofof Times Occurrence

IntetactionPatterns

Nthnber "Perceht ofof Times O-ccuirdnce

10-8、

8ヽ ―■0

5-8ヽ

8ヽ -2

6-8

8ヽ -5

2-8`

2-5

5-5

8ヽ -6

20

・ 20

2o

20

18

18

■8

14

13

12

20.86

20。 14

6.46

8。 26

3.95

4.59

6.03

2。 59

6。 33

2.96

5-5

■0-ヽ

8、 ―■0

6-8

8-■0

8ヽ -5

5-8、

6-8ヽ

10-8

8-5

■■。91

14.88

■4.32

7。 04

■0.50

4.28

6.18

4。 14

11。 46囁

3。 27

18

17

■6

■4

■3

■2

■2

12

■2.

11

10-8\ extend6d athletest sctirnmage or interpretive drills

8\-10 exteuded athletesr sgjJmmagg,or' inte"tpretive*drlIls

5-8\ coabhes!' lnfbrmation givlng followed' by arhletes' interpretlveresponse

8\-2 athletesr int'brpretive response followed by coachest praise.

6-8\ coachesr directions follofri:d by athletesr interpretive re"sponse

8\-5 athletest lnterpretlve response followdd' by coachesr inforrnation.t

2-8\ coachesr praise followed by athletest interpirltive response

2-5 coachesr praLse followed by coachesr inforinatlon.glving.

5-5 exterided infornatlon giving

8)-6 athl.etest interpretive response followed by coachesr dir'bctions

5-8 coachesr dLrectiohs foll-owed by athletesr preidictable respons'e

8-10 extended athletesr drllls

10-8 extended athletesr drllls

8-5 athletesr predictable respbhse followed by coachest infomatldn

Page 52: Environmental analysis and interaction patterns of high

40

Even though some of the behavior patterns were similar Ln the two

groups, their percentage of occurrence'was different. Extendbd athlete

lnterpretive drllls or scrlrmfage occuried 4Li( of. the time.in the

satisfied group compared ,to 297" in the less satlsfied group. Extended_

lnformation'was given by the'coaches in the satisfied group 6.337t whil-e

those in the less satisfied group used extended information giving

LL.IL?" of the time. It is interesting to note the absence of praise

in the less satisfied group.

Group Environnent Scal-e

Form R (real) was used in conjunction with Form I (ideal) to

identify specific areas ln which tearn rneinbers'and leaders felt that

change should occur. The five teams that were placed in the satisfied

group showed the least discrepancy on the 10 GES variables (Form R:I)

whl1e the five remaining teems were placed ln a group labeled less

satisfied. Figures 2-11 represent the variations in each dimension

present in each team. The discrepancy totals for the satisfied teams

ranged from 4.00 to 5.51 while teams in the less sati.sfied group ranged

frorn 5.68 to 23.68. These results were obtained by taking the absolute

differences between each variable on th'e real and ideal forms of the

GES and making a cumulative total- of all the variable differences.

Multivariate analysls of variance was applied to the GES data to

determine whether the results of Form R and Form.I were significantly

different. The overaIl differenee between Form R aird Forfu I for all

variables taken simultaneously-was statistlcally significant, 0(1, 4, 48)=

.382 p < .00001. Follow-up univariate ana1ysis of variance revealed

significant differences on 9 out of 10 GES variables (sed Table 5). Thib

indicated that discrepancies on Form R and Form I reached statistical

Page 53: Environmental analysis and interaction patterns of high

・■

■′^““

` Tab■ e 5.

ANOVA of GES Variables (Fo.Ш R & I)

Fofm R(n=108)

Form I(n--108)

Variable ・F

SD

一SD

Cohesion

Leader Support

Expressiveness

Independence

Task Orientation

Self-Dlscovery

Anger & Aggresslon

Order andOrganization

Leader Controi

Innovation

7.35

7。 69

5.09

5。 83

6.44

4。 86

5.22

6.55

7。 55

3。 74

2.03

■.67

■.83

■.50

■。92

■.91

2.15

■.94

1.52

1.49

7.92

8。 09

4.46

6.39

7.17

5.22

3。 90

7。 27

7。 63

4144

■.53

1.49

■。73

■.50

■。49

2.13

2.41

■.82

1。 52

1.61

8. Z3n

5.45*

tb. og*

13.79*

20. oo*

3.6it'

28'.55*

L3.47*

0.25

' 15. 05*

*P' .ooooL.

Page 54: Environmental analysis and interaction patterns of high

42

signiflcanie; The only variable that was not significant wdb ledEer

control.

Discrlminant f-unction analysis was used to determine the percentage

each of the 10 variables contributed to between groups differences'.

Table 6 lndicated the inhovation cohtributed 21.32% to the discrininant

functi.on. Task orientation was the next,highest dimensi.on, and it

contributed 18.gg1Z. Thj.s was followed by anger and aggresslon which

contributed Ll .67%. Independence and expressiveness contributed L5.56%

and 10.7L% respectively. The remaining five variables contributed,less

tl:.an 14% of the discriminant function.

Satisfied T● nms

Figure 2 is a group profile of a team designated as Teani 1. ^The

athletest perception of their environment (Form R) and the athl-etest

perception of the ideal envirorufuent (Form I) are represented in this

figure. GES results indicate that athletes agree quite closely on all

of the 10 variables. The overall- cumulative score for Team I- was a

score of 4.0. The largest discrelpancy occurred in the area of anger and

aggression. Team nembers believed that the l-evel of anger and aggression

should be lowered slightly. Close agreement was shbwn in the areas

of cohesion, leader support, self-discovery, leader control, and lnnova-

tion. Orerall, team 1 rras extremely satisfied with its environnent. -)

Figure 3 shows GES scores for Team 2. Very little.discrepancies '

were seen. Members did feel- that the levels of anger and aggresslon

shoul-d be lowered. The absolute differences for Team 2 also totaled 4.0.

The areas of' cohesion, self-discovery,. and innovation were cl-ose whlle

the area of Leader'control was exact. Overall, Team 2 showed a high

degree of satisfaction with its team environment.

Page 55: Environmental analysis and interaction patterns of high

43

Table 6

Discrininant Functi6n Ana■ysis of GES Variables (Foim R & I)

Ranked Variable

1。 ,工n■ovation 。46■76 2■ .32

2. Task Orientalion 。43577 18。 99

3。 Anger & AggressiOn ―。42032 17。 67

4。 Independence 。39542 15。 56

5. Expresslveness ―。327■9 1o。 71

Tota1 84.25

StandardizedDlscrlminant

Weightss2%

Page 56: Environmental analysis and interaction patterns of high

l-'44

o..............:a Fonn Rtr---------tr Form f

00負00∽ 口“0〓

9.00

8. 50

8. 00

7. 50

7. 00

6. 50

6.00

5. 5o

5.00

4. 50

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3. 00

2.50

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----EF

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口0引∽0〓00

RElationship PensonaL GnowthDimension Dimension

GES Vaniables

Figu:ne 2. GES (Forrn R 6 I) fon Team 1.

System Maintenanceand Gnorrth Dimension

Page 57: Environmental analysis and interaction patterns of high

45

●""""・・"“ o FOrm R□―――――――――□ Fom I

9。 00

8。 50

8。 00

7。 50

7。 00

6。 50

6。 00

5.50

5。 00

与.50

4。 00

3.50

3。 00

2。 50

2。 00

/

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目0引∽0〓00

R€lationship Pensonal GnowthDimension Dimension

GES Variables

Figune 3. GES (Forrn R S I) fcin Teanr 2.

System Ma■ ntenanceand Crowth Dinens■ on

f l_ 1 1 : _

Page 58: Environmental analysis and interaction patterns of high

46

Team 3 is i■ ■uξtrated in Figure 4. A total culnulative scOre of 4。 ■5

shows a very sm.1■ amount Of deviatiOn from the ath■ etes' perceptiOFs of

an ideal environment. Ath■etes felt that they ,ё re given too much

opportun■ ty to express thr::tselves. The ■eve■ Of anger and aggrdss■ o■

was seen to be higher than ■dea■。 The areas of independence, se■ f―

discovery, order and organ■zation, leader control, and in■ovation were

perceived to be in ha.Щony。 Overa■ 1, results of the CES indicated that

Team 3 was satisfied with its soc■ a■ climnte.

Figure 5 il■ustrates Tea■ 4's cllmulative score of 5.30. The areas

of express■ veness and order and organizatiOn showed =he highest

discrepancieso Members felt that there was a need to ■imit exPression

and felt a need for a greater a■ oun, of Order and organ■zatione PerceptiOns

were very close ■n the area of cohesion and exact in the area of leader

control. Overa■ ■, Tonm 4 showed moderate signs of satisfaction ■n

relation to its team environment。 ヽ

Figure 6 indicates that members of'Team 5 felt a.need to reduce the

amounts of anger and aggression present in their team environment. The

total absol-ute difference of Team 5 was 5.51. This represents ttie

hlghest such differenie of all teems placed in the satisfied group. Ttre

areas of task orientation, self-discovery, and innovation were perceived

to be simil-ar. while an exact perception ,!ras noted on leader support.

Overall, Tean 5 was moderately satisfied r,rith its team.environment as

compared to the rest of the teams in the study.

' Less Satisfied Teams

Team 6, represented in Flgure 7, is the first, team in the less

satisfied group and has ah absoLute difference total of 5.86. The

dimensions of sel-f-discovery, anger and aggrdssion, and innovation

Page 59: Environmental analysis and interaction patterns of high

47

o............-.. a Form R

tr---------tr Forni I

∽0負00∽ 口“0〓

9.00

8. 50

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7. 50

7. 00

6. 50

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RElationship Pensonal GnonthDimension Dinrension

GES Vanlables

Figune 4. GES Forrn R S I) fon"Team 3.

System Mainteninceand Gnonth Dimensioh

 

 

 

 

,一

 

 

 

l:l.t:iit:t.t:l.t:t:t.l:t.t'.l:t.t:l.l:

t

J

Page 60: Environmental analysis and interaction patterns of high

48

●。・ ・̈ ・̈ ・̈"0● Form R□―――――――――□ Forln I

り0負00∽ 口●0〓

9。 00

8.50

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ロOH00〓00

R€lationship P'ensonal GnowthDimension Dimension

GES Vaniables

Figune 5. GES (Porrn R 6 I) fon Team 4.

System Maintenanceand Gnorrth Dimen3ion

f l l l l __上 _J : l l :

Page 61: Environmental analysis and interaction patterns of high

49

●・ ・̈・"・¨""● FOrm R

□――――――=―

‐□ Forln・ I

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ロOH00E00

RetationshipDimension

Pensonal GrowthDimension

GES Vaniables

System Maintenanceand Gnonth Dimension

Fェgl,ぃe 6. GES (Forrn R ε I)for Team 5.

Page 62: Environmental analysis and interaction patterns of high

50

4..............a Form RO---------tr Form f

9.00

8. 50

8.00

7. 50

7.00

6. 50

6.00

5.50

5.00

4. 50

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3. 50

3. 00

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2.00

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RElationshipDimension

Pensonal GnowthDimension

GES Vaniables

System Haintenanceand Gnovrth Dimension

Figune 7. GES (Forrn R S I) fon Tgam 6.

Page 63: Environmental analysis and interaction patterns of high

51

sho"ed the largest discrepencies in the athletes' perceptiono Members

fe■ t that personal problems ●ere too frequently discussed, and the level

of anger and aggression should be loweredo A130, a great amount of

diversity was sought by the members of Team 6. The dinensions of・ ldttdef

support, express■ veness, and leader contro■ were perceived to be close・

to ■dea■ . Overal■ , resu■ ts・of the CES showed that Team 6 was slight■ y

less satisfied w■ th its social c■ lIDnte when compared tO the otheを ,ine

teams.

Figure 8 shows the cllmu■ative difference bet●een Fo.Ш R and Fo.ul 工

of the CES of Tea■ 7 to be 6。 30。 Members fe■ t a greater degree of

independence was necessary. The ability to openly discuss persona■

problems was ■acking ■n Tean 7. The ■eve■ of anger and iggredsion

present on this team was felt to be too high. cOhes■ on, expressiveness,`

order and organization, and ■eader control were、 the strOng dinensiOns

which made tp Team 7's environment. Members of this tean indicated that

they were less satisfibd with.their t・ ハm envirorment.

_ igure 9 shows that Tean 8 was consistent in 8 out of 10 dimensiond

in feeling that a change was necebsary. Only the aroas of cOhes16n and

leader cOntro■ were perceived to be close to ideal. The ■argest

discrepancies occurred on the dimensions of leader supportら explessive.

ness, task orientatioi, and Order and organizationo Members felt that

the coach shou■d ciSplay■ore concern, helP, friendshiP, and also be

■ore organ■ zed. Figure 9 a■ so ■ndicated that members be■ieved the

degree of Oxpressivenesb permitted should be decreased; and the degree

ざf emphasis on concrete tasks shouttd be increased. The cumulative

total of 8.24 Placed Tean 8 in the less satisfied group.

Figure 10 shows that Tこ am 9 ■as p■ aced in tthe leOs satisfied gFoup

Page 64: Environmental analysis and interaction patterns of high

52

●・・"0"・ "¨ "● FOm R□―――――――――□ Fol■ 1

∽0“00∽ 口“0〓

9。 00

8。 50

8。 00

7.50

7。 00

6。 50

6。 00

5。 50

5。 00

11:50

41。 00

3.50

3.00

2。 50

2.00

1

1

ヽヽ1

1

キーー1

1

COH●“>OrCH

HO負夕●00 負00●0ロ

ロo「P“N鋼口”“角O

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ヽ自0

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oO●00口OnOづ●H

∽”0口0>引∽00負。Xロ

ツ負OQQ”∽ 負Oo●0日

口0鋼∽0〓00

Relationship Personal GrowthDimens■ on Dimens■ on

GES Vハ"iab■ es

Figll,e 8。 Gコ S (Form R ε I)for fban 7.

System Maintenanceand Gnonth Dimension

由メリ′

′′

l

JF ll′′

F ′

Page 65: Environmental analysis and interaction patterns of high

53

●・・・0"0000"0● o FOrrn R□―――――――二・ □ Forln´ エ

00負00∽ 口“0〓

9。 00

8.50

8。 00

7。 50

7.00

6。 50

6。 00

5。 50

5。 00

4。 50

4。 00

3.50

3.00

2。 50

2.00

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0づ負〇

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RElationshipDimension

Pez'sonal GnbwthDiminsion

GES Vaniables

System Maintenanceand Gnonth Dimension

Fig,1"e 91 GES (Form R 8 1)foF Tё an 8.

T・・ で“

二____二 L___ぉ 仁 び 1`一―――――――可石~~

〒 1 1 1 1 _1 1 1 1 1 1

Page 66: Environmental analysis and interaction patterns of high

54

4..... ..O Form R

O---------trrPorn I9. 00

8. 50

8. 00

7,50

7.00

4. 50

4. 00

3.50

3. 00

2.50

2.00

● .

 

 

 

 

 

 

 

 

 

 

 

 

00“00∽ 口●0〓

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,∽ 角Oo●0ロ

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Relationship Pensonal Gnow"thDimension Dimension

GES Vaniables

Pigune 10. GES (Forrn R E I) fon Team g.

System Maintenanceand Gnowth Dimension

Page 67: Environmental analysis and interaction patterns of high

55

with a cumulative absolute dlfference total of 10.98. Only the dimenslons

of expressiveness and innovation were perceived to be close to ideal.

Members tndlcated a great €mount of anger and aggressi6n was present and

felt -thls level should be reduced. The nembers"felt the coach was

disorganized and did not display enough leader support to group mernbers'.

Menbers of Team 9 felt a'need.for less l-eader control. Oirerali, results

of the'GES lndicated that this team was less satisfied with its soclal

environment.

Team 10 is iepresented in Figure l■ . ・Resu■ ts sh6wed thaiL Team 10

had the highest c18fnulative absolμte difference totallof al■ the teans

with a score of 23.68. This was over double that of the next c■ bsest

'teamo None of the 10 di■ensions were even close to ■dealo Members

perceived、 their team to have ■ittle cobiesion, task orientation, and ordё r

and organ■ zationo M":::bers also saw the level of anger and aggression

to be very higho Members of Tleam 10 perceived all of the 10 dimeisiOns

to be far from ideal.

Athletes and Coaches

Figure 12 illustrates how athletes and coaches perceived each

dimension'on Forr.R of the GES. A1l- subjects in the satlsfled and the

l-ess satlsfied groups were combined to show all the athletesI

perceptions versus all the coachesr perceptions of their team environnent.

On 8 out of 10 dinensions, the coaches felt their climate was more

positlve than the athletes. Coaches believed there rras more cohesion,

leader' suppott, independence, task orientation, self-dlscovery, order and

organlzation, leader control-, and Less anger and aggression. Athletes

lndlcaied slifhily higher scores on expressiveness and innovation.

Flgure 12 led tb the.acceptance of the hypothesls that the perceptions

Page 68: Environmental analysis and interaction patterns of high

56

●・・"・ "・ "。・●6● FOrm R□―――――――――□ Forrn I

00“

00∽ 口●

0〓

9。 00

8.50

8.00

7。 50

7。 00

6。 50

6。 00

5.50

5。 00

11。 50

4。 00

3。 50

3。 00

2。 50

2.00

●OH夕“>0ロロH

HO贄P●00 “00●0ロ

ロOHP“N引口o”負O

ω 負00角O

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り 角0”口く

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RelationshipDimension

Personal GnowthDimension

GES VAriables

System Maintenanceand Gnowth Dirnension

Figl,ぃe ll. GES (FOrrn R ε I)for Tё an 10.

---4LJIIl'larlItr."..it -/r ...- tr

1 ′

Flプ I、F I

γ≒一六=『 1「 と ,「

■ ′ ●

1 .

li l l l L_ l l .1 1 1

L●

Page 69: Environmental analysis and interaction patterns of high

00負00∽ ‘“0〓

9。 00

8。 50

8.00

7。 50

7。 00

6。 50

6.00

5。 50

5.00

4。 50

11。 00

3。 50

3.00

2。 50

2100

57

●000""0"・・●●● Ath■ etes□―――――“―――E]COaches

卜■‐1トーー■1。0lL□

●OH●”>OC●H

HO“P●00 負00●0日

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ω 角00角O

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Relationship Pensonal GnowthDimension Dimension

GES_Va:niables

Figrlre 12. Athletes 6 Coaches (Form R).

System Haintenanceand Grbnth Dimension

b

鳳ゝ

Page 70: Environmental analysis and interaction patterns of high

58

of the athletes and'coaches would be different.

Figure 13 indicates athletes' perceptions of what their actual

ヽ enVircinment was in ごomparison to an ideal enviroment. Athletes fron the

事キ i satisfied and less satisfied groups were aga■ ■ combined to provide an

ヽri

oveiral-l picture of all the athletesr perceptions. Figure 13 indicates

that athletes fel-t that only the dimenSion of leader control was ideal-.

The most signlficant differences occurred along the dimenslons of

cohesion, expressiveness, anger and aggression, order and organization,

and innovadlon. Sl-ight differences existed ln the variables relatdd to

leader support, independence, task orlentation, and self-discovery. This

lnformation led to the acceptance of Ehe third hypothesis since there

were significirnt differences between the athletesr perceptioirs of their

envlronnent in relation to an ideaL environment.

Flgure 14 illustrates the coachest perceptions as indicated on

Forms R and I of the GES. It is apparent fron this figure that the.

coaches perceived their environment to be Less than ideal. The greatest

discrepancies occurred along the dimensions of cohesion, expressiveness,

self-discovery, anger and aggression, order and orgdnization, and

lnnovation. Slight differences were-noted in leader support,

independence, and task orientation. Coaches perceived leader support as

being clo-se to ideal. This figure Led to the acceptance of the fourth

major hypothesls which states that the coachesr environmental

perceptions of the real aird ideal environments will be signlficantly

dlfferent.

Figure 15 represents athletesr and coachesr perceptions of what an

ideal environment would be like. The coaches perceived the ideal-

environment as containlng hlgher s-cores on 8 of 10 'of the. variabies

ゝ―

・∵‐出九

―.F

II」」

中一」

4 

 

 

,.        

Page 71: Environmental analysis and interaction patterns of high

59

●・ ・̈・ ・̈“・"●● FOrrn'R

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7。 50

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6。 50

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RelationshiP Pensonal.GnowthDimension

.r:;;:""

Figune 13. AthLetes (Forrn R 6 I).

Systen l{aintenanceand Grrcwth Dimension

l

Page 72: Environmental analysis and interaction patterns of high

60

o..............a'Form R[-----;---tr Fonn I

9.00

8. 50

8.00

7. 50

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5.50

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ω 角00負O

COH∽∽o負““く

ω 負0”εく

ヽ負0>00∽鋼∩ 」HO∽

口o鋼P“P●0引角O メ∽oい

oO●0づ口0魚0●口H

∽∽0●0>

H∽∽0負

QXロ

ツ角OQヽ”∽ 負Oo●0日

●0引∽0〓00

Relationship Pensonal GnowthDimension Dimension

GES Vaniables

Figrrne 14. Coaches (Porrn R S I).

System Maintenanceand Gnonth Dimension

.a

I

Page 73: Environmental analysis and interaction patterns of high

61

o"""""""a Athletes0----i----E Coaches

9. 00

8. 50

!; oo

7.50

7.00

6. 50

6.00

5.50

5.00

4. 50

4, 00

3. 50

3. 00

2.50

2.00

′八′

ヽヽ

■ヽヽ一ヽ、□‐「「・

∽0負00∽ 口●0〓

口OHP“>Or●H

HO負

夕●00 負o●●0ロ

CO引P“N引口0¨角O

ω 角00角O

口OH∽00負“¨く

0 角0¨Cく

ヽ角0>000引∩ 麟HO∽

口o鋼ツ“P●0引角0 メ∽oい

00●0づ●OQO●口H

∽∽0●0>鋼∽∽0負QXロ

P角00Q”∽ 角Oo●0日

●OH00〓00

Relationship Pensonal GnowthDinension Dinfension

GES Vanlables

Figune 15. Athletes 6 Codches (Forln I).

System Maintenanceand Gnonth Dirnbnsion

Page 74: Environmental analysis and interaction patterns of high

52

when compared to the perceptions of thtj athletes. Innovation.was .

percelved to be similar, and athletes'perceived the ldea1 Ieve1 of anger

and aggresslon to be higher than the coaches. Figure 15 1ed to the

acceptance of the last major hypothesLs which states that dhe perceptions

of the athletes and coaches of an ldea1 envi.ronment will be significantl-y

different.

Figures 16 and 17 represent athletesr and coachest perceptions on

Form R in the satisfied and less satlsfied groups respectively. These

fi-gures indicate that athletes and coaches ln Lhe satisfied group weie

abl.e to closely represent the dinensions of thelr environment in most

of the 10 dinensions. Innovation dtd show a slight discrepancy. Figure

17 clearly illustrates wide dlscrepancied in the athletest and coachest '

perceptions in the less satisfled grouPs. Seven of the 10

dlmensions reflect differences. 0n1y order and orgatization, leader

control, and innovation were perceived sinilarly.

Sunmary

A Kruskal-trIallis one-way analysls of variance lras performed'on the

CAFIAS parameters and variables. Results indicated that 8 out of 20,of

the CAtr'IAS variables and 9 out ot 26 of the CAFIAS parameters proved to

be significantly different at the .05 l-evel of significance (Table 2 '& 3).

Table 4 shows the toP 10 interactLon Patterns'of the tlro grouPs to be

different. The results of these tests Ied to the acceptance of the firstI

major hypothesis that states that the two different environments will

contain signlficantly different coaching behaviors as determined by

CAFIAS .

Form R of the GES was used in'conj,unction with Forrn I to plbce

teams into the satisfied and'1ess saEisfidd grouP-s. Figures,2-11

Page 75: Environmental analysis and interaction patterns of high

63

a.............. o AthletesO---------E Coaches

∽0負00∽ 口●0〓

9。 00・

8.50

8。 00

7ざ 50

7.00

6。 50

6。 00

5。 50

5。 00

11。 50

21。 00

3。 50

3。 00

2。 50

2.00

口o引夕“>oロロH

HO負P●00 負0●“0ロ

ロo鋼=“N引口”¨角O

ω 角0●■0

口o鋼∽∽0負“”く

0 負o“口く

ヽ負0>00∽引∩ 彎HO∽

口0引夕“P口OH角O メ∽“ト

00口00●OQo●●H

´

∽”0●0>

引∽00負nXロ

,角OQヽ”∽ 角●●●0日

●0引00〓00

Systen Ma■ ntenanceand Crowth Dimehsi6n

Relationship Pensonal GnowthDimension Dim€nsion

GES Vnぃiab■es

Figure'16。 Satisfied Ath■ etes e Coaches (Fo「 m R).

1

1

1

1

1

f l l l l l l l l L l

Page 76: Environmental analysis and interaction patterns of high

64

o"""""""a AthLetestr---------E Coaches

00負00∽ 口●0〓

9.00

8. 50

8.00

7. s0

7.00

6.50

6.00

5.50

5.00

4. 50

4. 00

3. 50

3. 00

2.50

2.00

口OHP“>oロロH

HO負

夕●00 角o●●0ロ

ロo囃■●N引口”“角O

ω “o●角O

rO引∽oo““”く

ω “

0“口く

ヽ角0>000引∩ 』HO∽

口OHP“タロ0引“O 〓0●い

00●00口0●00CH

∽00●0>引000負aXロ

P負oQQ”∽ 負Oo●0日

●0鋼00〓00

System Maintenariceahd Growth Dimension

Relationship Pensonal GnowthDimension Dimen3ion

GES Vaniables

Figune 17. Less Satisfied Athletes t Coaches (Por.rn R).

tr lr'1,", i .' il

,r" \ i! t,' \ j: il\ki

tr

ii

'.i: i 1l

". jt | :r.... \ i .rcV ilo:r

C

o

Page 77: Environmental analysis and interaction patterns of high

65

represent the variatiOns preSent in each dinension on each team. The

discrepancy tota■ 3 0f the satisfied group ranged from 4。 00 to 5.5■ whi■ e

t。ハms in the less satisfied・ group.ranged fro■ 5。 98 to 23。 68.

Mu■ tivariatё analysiS of variance indicated that results on Fo.Ш R

and Fo." 工 ●ere statistically different. The overall difference Setween

the two fo.u.s for all var■ ables taken simultaneous■y was.statistiOa■ ly

different, 0(■ , 4, 48) = .382, 2 く 。00001・ Follow― up univariate ′

analys■ s of var■ance revea■ ed sign■ficant differences on 9 out of 10`

GES,valiab■ es. Dibcriminant functio■ analysis revea■ ed thttt il■OVa'iOn,

task orientation, anger and aggres,lo■ , ■ndependence, and expressiveness

contributed over 84% to between group diffoを ences.

Figure ■2 1bd to the accご ptance of the second hypothesis stating

that the perceptions of the athletes and coaches would be different when

looking at theit envitonments. Figure 13 1ed to the acceptance of the

third hypothesis since there‐ were significant differences between the

ath■ etes' perceptions of their environment in relation to their

pёrceptions of an ■deal env■ronment_. Figure ■4 1ed to the eCCeptance of

the fourth hypothesis which ,tates lhat the cOaches. environmental 「

perceptions of the■ r soc■a■ climate and an ■dea■ env■ronment would be

Cifferento Figure ■5 ■ed to the acceptance of the fifth and final major

hypothesis stating that the perceptions of the athletes and coaches of

an ideal environmё nt wotld be significantly differё nte

Page 78: Environmental analysis and interaction patterns of high

Chapter 5

DISCUSSION OF RESIILTS

Thls chapter presents a discussion of the results concluded from

this irrvestigation. Ttre study compared the behdviors of coaches ln two

different athletlc environments. Other signiflcant differences were

also investigated concerning athletest pereeptions of thelr' environment

in comparlson with the coachesr perceptions of their emrlronment,

,r{^nc of thei.r e lation to an ideal-athLetesr percePtiong of their envirooment in re

environment, coachest perceptions of their environment in relation:to

an ideal envlronment, and athletes' and coachesr perceptions of an

ldeal- environment.

Team envlronments were classified as elther bej-ng satlsfied or less

satisfied by taking the cumulative absolute differences on Form R and

Form I of the Group Envlronnent Scale (Moos, Insel, & Ilgmphrey, Lg74) '

Cheffers, Adhptation of Flanderst Interaction Analysls System (Cheffers,

Lg72) was usti:d as the testing instrtrment to deterrnine lf there were

behavioral differences bet'ileen the two groups'

In this study, the Kruskal-I,lallis one-way analysis of varLance

indlcated slgnificant differences ln the CAFIAS variables and parameters

of the satisfled and the less satisfied grouPs. In regard to the 20

CAFIAS variables, results lndicated ttiat teacher verbal acceptance and

pupil inltiateil talk, verb'al and nonverbal were slgnificaqtly different

in favor of the satisfled grouir. Teacher lnformatioh glving, verbal and

nonverbal; nonverbal teacher directious; rionverbal student response; and

nonverbal- student to student interaction in the form of drllls or

66

Page 79: Environmental analysis and interaction patterns of high

67

scrfunage proved to be signlficantly dlfferent in favor of the less

satlsfled group. CAFIAS paraueters are a comblnatlon of one or -more of

the C,AFIAS vartables. Wtren looklng at the 26 CAFIAS paraineter", ,ilo"

of them were slgnlficantly. different. Student talk; percent of verbal

emphasis; total pupil initiatiori, teacher suggested; teacher nonverbal

use of acceptance and praise; and pupll verbal and nonverbal inltiation,:

teacher suggested were tound to be statistlcally different in favor of

the satlsfled group. Teacher nonverbal; student to student nonver'tal

lnteractibn; and percent nonverbaL proved to be statisticilly different

ln favor of the less satisfied grouP. These results Ied to the accept-

ance of the flrst najor hypothesis stating that statistically different

coaching behaviors will be found ln the satisfied and the less satlsfied

groups as determined by 'mffeS.

The top 10 raoked cell frequencies and thelr percentage of occurrence

for the satlsfied aad the less satlsfied groups wEre dEternined. It ls

apparent from Table 4 that the behavior patterns in the satisfled and

less satl.sfled groups were different. Some of the behavlor patterns did

occur in both groups, but thelr percentage of occurrence was differenE..,

Extended interpretlve drills or scrimrnage'by the athletes occurred 4l%

of'the tine in the satisfied group compared lo 297t in the leSs satisfied

group. Exte'nded information giving by the coaches was 6.332 ln thet

satlsifad groupr whil-e those in the less satisfled group used this

pattern LL.|LZ of'the time. It ls interesting to'n6te the absence

pralse ln the less satlsfied group. i

Penman, Hastad, and Cbrds 0974) conducted a study that investigated

the success of'high school coaches who exhibit an authoritarian

personallty. A doguatism questlonnaire,was given to 30 football and !

ヽ 

 

. 

 

`‐み

Page 80: Environmental analysis and interaction patterns of high

68

basketbal■ coaches. Results indicated that the ■ore successfu■ coaiches_

were■ore authoritarian. In this study, coaches who a■ ■owed for a

greater amount of interpretive dri■ ■s and scr・ ― nges on the part of

ath■ etes were found to have ■ore satisfaction in their environments than

those who did ■ot a■low for this interpretive freedom.

Mu■tidimenslona■ OCaling and factor analysis of coaching behavior,

as perceived by high sch00■ hockey p■ ayers, was used by Danielsonぅ

Ze■hart, and Drake (1975)。 A questionnaire was administered to ■60

players attending:a sulmer sPort campo Results indicated that the

hockey coaches displayed integFatiVe behav■ or designed to 口o■d their

p■ayers into a team. A■ so, the ma30rity of behaViOr in hockey coaching

appears to be related to the disspmination of information either t0 0士

from the coach. Their resu■ts proved to be s■ mi■ar to results found in

this study. cOaches in the satisfied group were ■ore direct and PoSitiVe

in their molding of their teans into integrative units. Etttended

information giving was found to be a predo■ inant behavioral charaこ te■―

istic in both.the satisfied and the less satisfied groupso There was,

however, a gr・nter percentage Of this behavior ■n the less satisfied

group.

Avery (■978)used the cOaches' Performance QueSti6nnaire to divide

coaches into effective and less effective groups. Analysis of two

videotapes coded through the use of CAFiAS indicated that eftective

coaches disp■ ay ■ore indirect behaviors than those coaches in the ■ess

satisfied group. Results of this study shO● ed that coaches in the

satisfied group were ■ore indirect in their coaching behav■ orso More

interpretive behaViOr was found on the part of athletes ii the

satisfied group.

Page 81: Environmental analysis and interaction patterns of high

・ 69

Mbos (■ 976) te■ lS us that social cllmntざs, ■lke peop■e, have unique

persona■itiest and they can、 be,pOrtrayed w■ th a gr・ nt deal of accuracy.

This prenise of pers6na■ ity unioveness inttpiire‐ d Moos (Kiritzξ & Moo白'

1974)to deve■ Op nine different clihnte sca■ e。 . The CrOup Environmenぜ

Scale (GES)was dё veloped by Moos, Insel, and Hllmphrey (1974). Resu■ ts.

obtained by thiS investigati9n indiCated unique at■ 6spheres and

PersonalitieS preSent on the 10′ teans that were studied. These findings

u■ timn te■y led to the acceptance of the ma」 o■ hypotheses that dealt'with

the coaches' and athletes' perceptions as recorded` on.Fo.Щ R and Foェ w I

of the CES.

The GES has been shom to be an effёctive tool in describing soc■al

cllmntes (Baum & Nutter, 1974; Duncan & Br■ 11, 1977; Lindauer & Ribner,

1977; Menard, 1974; Schroeder、 1979). Fo.Щ R and l can be used together

to note areas that are in need of change. Differenqes on the,e two

sca■es, therefore, imp■ y that the groups were not satisfied with some

dimension of their envirorment (Moos, Inse■ , & Humphrey, 1974). This

study found that the CES was an effective tool in loc,ting lreas.that

were in need.of change, and the CES was also shom to be an effect■ve

tool in sOparating the teans ■nto satisfied and ■ess satisfied groups.

´ Hendrシ t(1974)and Mbore (■ 970)reportithat a good coach is usll・ ■ly

organized. Results of this study concur ■n that coaches invo■ ved w■ th

the satisfied teams proved to be oFganized while those ■n the ■ess1

SaliSfied grOup were reported to lack organization. The ■ack of・

organization could well have ■ed to disenchantment on the part of the

■ess satisfied athletes.

Fron thこ ェnformation うroVided by the GES, comparisons were mad0

between athletes' and coaches' perceptions. Figure 12 il■ ustrates that

Page 82: Environmental analysis and interaction patterns of high

.70

on 8 of 10 dimensions, the coaches felt their environment was more

posLtlve than their athletes. Flgure 12 Led to the accePEance of the

major hypothesis that states.the perceptlons of the athletes and coaches

would be different ln relation to thelr environment. Figure 13 ehows

that the athletes felt thelr environment was less than ldeal on 9 out of

10 dinensions, thus leading to the acceptance of the third hypothesls -

slnce there were significant differenCes between the athletest

perceptlons of their envlronment in relation to an ldeal environment.

Figure 14 lndl-cates the coachest perceptlons as indicated on Form R and

Foro I of the GES. It is apparent fron this figure that coathes perceive

their environments to be less than ideal since 9 out of the 10

dinenslons showed perceptual differences. These results l-ed to the j

acceptance of the fourth major hypothesis whlch states' that the coachesr

envlronmental perceptlons of the real and the ideal envlronments,wlll be

different. fhis finding is ln oppositlon to Hirsch (fgZg) who found

coaches perceived their environments to be close to idea1. Figure 15

lndicatps that the coaches perceived the ideal envlror:nent as containing

higher scores on 8 out of l-0 dimensions when compared to the athletest

perceptions. Figure 15 led to the acceptance of the last major hypothesis

that the perceptions of the athLetes and coaches of an ldeal envlronment

will be signlfliantly different.

Flgures that were constructed depicting each teamrs cl{mate (Figures

2-LL) lndicated that typlcal teams placed in the satisfied envlr-onment

(Figures 2-6) general-ly scored,hlgher on the dimensions of cohesion,

leader suppott, task orientatlon, and order and organization. The

dlmensions of independence and. self:discovery tended to be slightly

l-ower in the less satlsfled group.whlle anger and aggression irere hlgher

Page 83: Environmental analysis and interaction patterns of high

!J::r -<

7L

ln thls same group. Thls infotmation indlcates that teams ln tire

satlsfled group tend to have a hlgher degree of cohesion, leadbr supitbrt

and a leader who -tends to be organized. Ttris seeus to enhancd the

satlsfactlon 1evel of the team. Less satisfied teams (Fl,gures 7-!Z)

contaln more anger.and aggresslon and less lndependence whlch Seemed to -

lead to a lower degree of satisfactlon on the part of the athletes.

Thls study lndicates that coaches who are placed in the satisfled

envlronment have a more precise conc'eption oi what thelr athletest

perceptLons of the environment are like (Figures L6-L7). Thls rnay lead

to a greater degree of .satisfaction slnce the coach is awar'e of the

dlmensLons that are strong and weak and thus can use thLs knowledge td

his/her advantage. This'may also indicate a Breater degree of rapport

by the coach wlth his/her athletes. The fact that the less satisfled

coaches have a poor understanding of thelr environment mai lead thelr

players to believe that changes cannot bccur ln thelr'favorr,thus

reduclng the levels of satlsfactlon present in the teamrs social

'clJmate. Thls can lead to dissenslon on the part of team members. A

productive relatlonship between the coach and the athlete can come aboiit

as a result of. a good rapport. Thls agrees with the fi.ndings by Sctrnuck

and Schmuck (1975) who concluded'that classrooms in which students and

teachei support one another facllitate the.develop'ment of self-estrirem

and provide the opportunity for students to use their intellectual

capacities to their utmirst.

Hlrsch (1978) conducted a study slmilar to the one undertaken by

thls Lnvestigator. Hirsch (1978) found that teaxns that were satlsfled

with thelr envirorments were generally coheslve, wel-l- organized, and

had stroog leader support. Those ln the.not'-satisfied group lacked these

Page 84: Environmental analysis and interaction patterns of high

characteri-stics. Results of this investLgator concur with these

72

findings. Hirsch (1978) also concluded that ttiere was nore pupil

lnltlated behavior and more pralse used by the coach ln the satlsfled

group. Thls study revealed more pupll lnitlated behavior, but

significant differences in praise were noted only in the nonverbal

category. Results of Hirsch (1978) also indicated that coaches perceived

their envlronment as belng closer to ideal than their athletes ln the

same envlronment. Results of thls stucly were ln agreement in regard to

thls area. Both studies were in agreement with similar findings of

Cratty (1973) and Percival (L974) who also reported that perceptions of

the athletes and coaches were signiflcantly dlfferent.

SusF,ary

Results obtained from the CAFIAS data were subjected to, the Kruskal-

Wall-ls one-tray analysis.of varlance. The results Led to the acceptance

of the major hypothesis that states there w111 be significant dlfferences

in coaching behavlor in the two dlfferent athletlc envlronments. Elght

out of 20 CAFIAS variables and 9 out of 26 CAFIAS parameters proved to

be slgnlf ieantly different

Flgures were constructed from'the results of Form R and Form I of

the GES. These fi-gures Ied to the acceptance of the four remainiag

hypotheses. The second hypothesis statlng ttrat there will be

significant differences between the environmental perceptions of the

players and coach was accepted. The thlrd major hypothesis stating that

the athletest environmental perceptLons of the real and the ldeal

environments will be signlficantly different was also accepted. The

fourth maJor hypothesis lras accepted, statlng that the coachesr

environmental perceptions of the real and the ldeal environments will

¬

Page 85: Environmental analysis and interaction patterns of high

73

be slgnlfLcantly dlfferent. The fifth and final major hypothesls

stating that the perceptioas of the ldeaI environment when comparlng the

athletesr and coachesr perceptions w111 be signtflcantJ-y different'was

also accepted.

Moos (1976) te1ls us thdt soclal clfrnates, like people, have

unlque personalities, and they can be portrayed with a great deal of

accuracy. This investigator found unlque environments present in the

10 teams involved with the study.

Hendry (Lg74) and Moore (1970) report that a good coach is one who

ls organized. Ihe results 6f thls study concur since coaches ln the

satisfled group rilere reported to have more order and organlzation than

those in the.less satisfied group.

Results of thls study are in agreemerit with those found by Ilirsch

(1978). One area of disagreement arlses becbuse Hirsch (L978) found

lcoaches percelved thelr environment to be close to ideal. Coaches in

\thls study perceived their envlronments to be less than ideal on 9'out

of 10 of rthe GES dimensibns.

肛HACA COLL[GE LIBRARY

Page 86: Environmental analysis and interaction patterns of high

Chapter 6

stMI,tARy, CoNCLUSTONS, AlilD RECOMMENDATIONS FOR FURTHER SIUDY

SUrrmafy

The study compared the behavlors of coaches in two dlfferent

athl-etic envlronments. Teams were placed into a group labeled

satisfied or less satisfied according to how the athLetes rated their

environment and an ideal envlronment using the Group Environment Scal-e

(GES). This procedure involved the use of a medlan-spllt technique that

was followed by nultlvariate analysis of varlance to determlne if the

trro.groups trere different, unlvarlate analysis of variance to determine

along which dimensions they differed, and finally by discrlninant

function analysis to determine the percentage of contrlbution of each

dimension. MaLe athletes (!=108) and coaches from 10 varsity basketball

teams serrzed as subjects. These coaches and athletes, who were from the

central New York area, were vldeotaped a total of four ti.mes each. ,oT

R and Form I of the GES were completed by the athletes and coaches after

the first and fourth taping sessions respectively. The vldeotaped

practice sesdlons were -coded through CAFIAS. Ratios and pereentages for

all variables identlfied by CAFIAS were obtalned by this analysis.

Significant behavioral dlfferences between the two groups were determined

through one-lray analysls of varlance. The .05 1evel of statlstical

signiflcance rilas deletted to determlne signiflcant differences.

The Kruskal-I,Iallis one-rsay analysis of varlance showed signlflcant

dlfferences between. the satlsfled and the less satisfled groups. Across

the 20 CAFIAS variables; elght of them were statistically dlfferent. In

〆´

74

Page 87: Environmental analysis and interaction patterns of high

75

lookLng at the 26 CAFIAS param€iters, nlne of'them proved tci be

statlstlcally dlfferent at the .05 leve1 of slgnlflcance. These two

nonparametrlc statistlcal tests ted to the acceptance of the flrst

najor hypothLsis stating that the two different envlronments ruould

contain significantly dlfferent coaching behavlors. These behavioral.

differences were,furtier 1llustrated by the top 10 lnteractLon pdtterns

(see Table 4) contained ln each group and also by placlng the percentages

of the 20 variables on a bar graph.

lnvestigator rras able to make conclusions about the fdur

remaining hypotheses. from the'lnforroation provided by the GES data.

Figures were constructed whlch graphlcally 111ustrat.5d trends between

athletest an'd coachest perceptlons of their envlronment and an ideal

environment. The second hypothesis that states the envlrorunental

perceptions of the players'and coaches would be slgnificaatly different

was accepted. On 8 of L0 dlmen6ions, the coaches felt thelr clirnate

rras more positive than the athletes. The thlrd majbr hypothesls that

the athletest envlronmental pereeptions of the real and'ideal environ-

ments would be slgnificantly different was accepted. Athletes indicated

that only the dimenslon of leader cbntrol was ideal and., subsequently,

that the renaining nine varlables were ln need of a change. The fourth

najor hypothesis which states'the coachesr rinvlronmental perceptious of

the real and the ideal ehvironments woul-d be signlficdntly different

was also.acbepted. Coaches generally percelved their team envlronments

to be less than ldeal. The fifth and fLnal hypothesis statl.ng that the

perceptions of the ldba1 enviroirment when conparlirg the athletest and

cciachesr data would be signlficantJ-y dlfferent was accepted. The coaches

perceived the ideaL envlronnent to contain higher scores on 8 of 10

Page 88: Environmental analysis and interaction patterns of high

of the varl.ables.

1. The satisfied envlronment contained more interaction between

the coach and the ath■ etes than the less satisfied environments。lu

il 2. More pupil inltlated behavlor teacher suggested, both verbal-d

.:Ird ,roor.rbal, rrere observed in the satisfled envLronments.t

fl 3. More verbal behavlor was observed ln the satisfl-ed envlronments .

,{rr. more nonverbal behavior was found in the less satisfied grouPs.

4. Coaches in the setisfied grouP used more praise and acceptance'

nφnverbal■y during these practice sessions.Ill

5. More student talk was evldent l-n the satisfied environments.

6. Coaches perceived thelr envlronment as being closer to ldeal

than the athletes in the same environment.

7. I,Itren comparing athletesr perceptions of their envlroament to

an ldeal envlronmentr:results lndicated that a change was needed.

8. Less satisfied teams lacked cohesion and l-eader support and

perceived their tqam cI-iinate to contain an unacceptable level of anger

and aggresslon.

Recomendatlons'for Further Study

1. Conduct a sLmilar study using femele..coaches-and athletes.

2. Compare and contrast maLe and female coaches in satisfied and

less satisfied environtrents.

3. To allow for parametrlc statistlcal analysis, conduct a similar

study wlth a larger nr:rober of subjects.

4. Conduct. a similar study outslde the New York State area.

76

――

1

|

Concluslons

Page 89: Environmental analysis and interaction patterns of high

i. Investfgate teams comprised of pre-hlgh school and post-high

chool athletes.

6. Conduct'a Similar study involvlng coaches with a backgroudd

lacI:::ii[i:lu,ati°

n and coaChes Wilhout a phySiCal educatiOn

77

 

¨

Page 90: Environmental analysis and interaction patterns of high

|~ ・ ・

|

78

Appehdix A

TTIE CATEGORIES OF CIIEFTERSI ADAPTATION OF

FI.AI'iDERS' IMEMCTION AI{ALYSIS SYST#

Coding Slmbols

Teacher

Envlronment (E)

Student (S)

VerbalSe●■r

g。

etaC Relevant

Behavlors

Nonverbal

|

|

2-■ 2

2

Pralses, con.ends

jokes, encourages

Accepts, clarifies, uses, Face:

and iaveilops suggestion

and feellng by the

learner Posture:,

L2

Face: Smiles, nods with smil-e

(eoergetic) winks, laughs.

Posture: Clasps hands, pats on shoul-der,

places hand on head of student,

wrings studentrs hand, embraces

joyfully, laughs to encourage,

spots ln gymnastlcs, helps

child over obstacl-es.

13

Nods without smlling, tilts

head in empathetic reflection,

sighs empathetically.

Shakes hands, embraces

slmpathetica1ly, pl-aces- hand

on shouLder, puts arm around

shoulder or walst, catches an

irnplement thrown by student,

accepts facllltles.

1

1

|

Page 91: Environmental analysis and interaction patterns of high

79

CateLOr■es・

AppendiX A

Verba■

(continued

Relevant

4

Asks questions

requlring student

ans\rer

Face:

Posture:

Nonverba■

L4

l{rinkles brow, opens mouth,

turns hdad wlth quizzilcal-

1bok.

Places hands in air' waves

finger to and fro anticipat-

ing answer, stares awalting

ansrrer, scratches head, cuPs

hand to ear, stands still

half turned towards personr'

awalts ailswer.

Behavlors

5-

5

Gives facts,

opinions, expresses

ldeas, or asks

rhetorical questions

15

Wtrispers words inaudible,

sings, or whistles.

Gesticulates, draws, writes,

demonstrates actlvities ;

points. "

Face:

Posture:

6-

6

Gives directions

or orders

16

Face: Points wlth liead, beckons

with head, yells at.

Posture: Points finger, blows whlstle'

holds body erect while bark-

ing conrmarfds, pushes chlld

through a movement, Pushes, a

child in a given direction.

‐1111111■■11111

111●

■■¨

′叶

Page 92: Environmental analysis and interaction patterns of high

80

Cate$orles

7

Criticlzes, expresses

anger or distrust,

sarcastic or extreme

self-reference

(continued)

Relevant

Behaviors

Nonverbal

L7

Face: Grimaces, growLs, frowns,

drops head, throws head back

ln derisive laughter, rolls

eyes, bites, splts, butts

with head, shakes head.

Posture: Hlts, pushes alray, pinches,

grapples wlth, pushes hands

at student, drops hands ln

disgust, Uangs table, damages

equipnent, throws things

down.

Appendix A

Verbal

7-■

8■¨

8..

Studentst response that Face:

ls entirely predictable,

such as obedience to

orders, or responses not Posture:

requiring thtnking

beyond the conprehension

phase of knowledge

18

Poker face response, nods,

shakes, gives snall grunts,

quick smlle.

Moves mechanically to ques-

tions or directions, responds

to any actions rrtth ntninal

nervous activity, robot l-ike.

Page 93: Environmental analysis and interaction patterns of high

81

Seir

goet

一 

 

 

〓 

 

 

 

 

 

 

Ca

~~ ■ ~~ 嗜‐T~

Appendix A

Vёrbal

(contlnued)

Relevant

Behiviors

Nonverbal

|

Einel(8ヽ )

tineぜeen(18ヽ )

Eine (8\)

'Predictable student Face:

responses rec[uiring

some measure'of Posture:

evaluation and s1m-

thesls from the student,

but must remaln wlthin

the providence of c

predidtabllity. The

lnitial behavior was

in responae to

Elnteen (18\)

A ttl{hatts more, Sirt' 1ook, .

eyes sparkling

Adds movements to those

glven or expected, trles to

shorir some arrangement,

requiring addltional think-

ing; e.g., works on glmrustic

routine, dribbles

basketball, al-I game

playing.

9

Pupl1-initlated

that'is purely

result of their

initiative and

could not be

predlcted

th■k

the

Om

that

・ 19

Face: Interrupting sounds, gざ sps,

sighs.

Posture: Puts hands up to a卜k ques_

tions, gets up and walks

around withOut provocation,

begins creative movじ Шent

education, makes up own games,

mnkes up own loov● mentS,

shows ■nitiative ■n supportive‐

moVement, introduces net,

movenents into games oot

able in the rules of the

predict-

galne.

teachOr iniごiaticln

‐・ f‐ }

Page 94: Environmental analysis and interaction patterns of high

-l

82

Appendix A (continued)

Cate80ries Verba■ Relevant

Behaviors

Nonverbal

10 20

1O-i0 Stands for confusion, Face: Silence, chlldren sitting

chaos, disorder, doing ndthing, noiselessl-y

noise, much nolse. awaitlng teacher just

prior to teacher entry'

etc.

lcia.d fron Cheffers, Ami.don, & Rodgers (Lg74).

\

Page 95: Environmental analysis and interaction patterns of high

83

Appendix B

Coder's Re■ iabilitytt for Selected Subjects

Using Spearman's rs

Subject 3 Satisfied (Tape l)_

Top 10

Ce■ls

' Rank

Observation

One

Rank

Observation

Truo

d2

・d

':

|

10-8ヽ

8、 -10

6-8ヽ

5-5

8ヽ …2

5-6

8ヽ …5

5-&

8ヽ -6

2-5

1

2

3

4

5.5

5.5

7

8

9

10

。00

。00

.00

。00

.50

。50

.00

。00

1.00

1。 00

。00

.00

。00

。00

。25

.25

。00

。00

1。 00

1。 00

2

3

4

6

5

7

8

■0

9

Total 2.50

*.985.

Top 10 cells llsted refer to the order of coderrs

Rank ob-sbrvation one and observatlon two refer to

coding.

,d refers to the differences betwee" tl.. ranks gf

observatlon onetand observation two

,'d' refers Eor the'd column squardd.

numerical frequency.

the origin of the

each cell 'for

Page 96: Environmental analysis and interaction patterns of high

84

Appendix B (continued)

Coderrs Rellabll-ity* for Selected Subjects

Udlng Spearmants r"

Subject 4 Satisfied (Tape 2)

Top 10 Rank Rank

Cel1s Obserrration Observatlon

d2

10-8ヽ

8ヽ―■0

8ヽ…2

5-8ヽ

2‐8ヽ

10-8

8-10

2-5

6-8ヽ

8ヽ -5

1

2

3

4.5

4.5

6

7

8

9

■0

■ 。00 。00

2 .00 。00

3 。00 。00

4 .50 。25

5 .50 。25

6 。00 。00

7 .00 。00

8 。00 。00

■0 1。 00 ■.00

9 1。 00 ■.00

Total 2。 50

*". 985

Top 10 ce1ls listed refer to the order of coderts numerical frequency.

Rank observation one and observation two refer to the origin of the t

coding.

d refers to the differences between the ranks of each cell for

observation one and observation two.

, _. r 'd- refers to the d column s.quared.

Page 97: Environmental analysis and interaction patterns of high

85

- Appendlx B (contlnued)

Coderrs Reliablllty* for Selected SubJects

Ustng Spearnhnrs r"

SubJect 7 Less Satisfled (Tape 1)

Top ■0

Ce■■s

Rank

Observation

One

Rank

Observation

l\lo

d2

■0-8ヽ

8ヽ -10

5-8ヽ`

■0-8

8-■0

8ヽ -5

8-5

8-6

6-a

5-8

1

2

3

4

5

6

7

8

9

10

2

3

4.5

4.5

6

8

7

9

10

.00

♂ .00

.00

。50

.50

.00

1。 00

■。00

。00

。00

。00

。00

.00

.25

。25

。00

1.00

■。00

。00

。00

Total 2.50

.985。

Top 10 cells listed refer to the order of cOder's pumer■ ca■ freqttёncy.

Rank・observation one and observatェ On twO refer to the・ origin Of the

coding.

d refers to the differences bet面 een the ranks Of each cell for

observation one and Observation two.

. d2 refers to the■ co■1lmn sqll・ red.

″T`‐ 、′

Page 98: Environmental analysis and interaction patterns of high

86

Appendix B (contl-nued)

Coderrs Rellabillty* for Selected subjects

Using Speaimanrs r"

Subject 10 Less satrsfief(Tape 2)

Top ■0

Ce■■s

Rank

Observation

One

.Rank

Observation

I\yo

一d2

6-8

10-8

8-10

5-5

8-8

8-6

■0-8ヽ

5-6

8… 5

8ヽ-5

1

3

3

3

5

6

7

8

9

10

2.5

2.5

4

5

6

7

8

9

10

。00

。50

.50

■。00

。00

。00

.00

。00

。00

。00

.00

。25

.25

1。 00

。00

。00

.00

。00

。00

。00

Total 1.50

o .gg.

Top 1-0 ce1ls l-isted refer to the order of coderrs numerical frequency.

Rank observatlon one and observation two refer to the origin of the

coding.

d r'efers to the differences between the ranks of each ceIl for

observation one and observation two.

,d- refers to the d column squared.

Page 99: Environmental analysis and interaction patterns of high

't + "t'

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