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ᚰ⌮Ꮫ◊✲䛻䛚䛡䜛 ຠᯝ㔞䛾ά⏝䛸ሗ࿌ 䠝䠬䠝䛾ᣦ㔪䜢䜅䜎䛘䛶 ᑓಟᏛ ᒸ⏣ㅬ ᪥ᮏᩍ⫱ᚰ⌮Ꮫ➨㻡㻠ᅇ⥲ 䝏䝳䞊䝖䝸䜰䝹䝉䝭䝘䞊 1 2 ௬ㄝᐃ p(p<.05) 䛰䛡 㸩ຠ ᯝ㔞 㸩ಙ㢗༊㛫 䜲䜲䝍䜲䝁䝖 | ⤫ィศᯒ䛸䛔䛘䜀3 1. ⤫ィᨵ㠉䛜䛿䛨䜎䛳䛯 4 5 6 1

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Page 1: 1. )+0£ 58 FÜFÿFèG FóFï

1 2

p (p<.05)

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1.

4

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APA Publication Manual

7

APA 19291,000 APA

APA, 2001, p. xxi

1

2

6 APA, 2009, 2011

1 http://www.med.wright.edu/sites/default/files/mph/APA_Mini_Manual_6th_ed.pdf2 http://freelancewrite.about.com/od/mechanicsofwriting/a/styleguides.htm

8

p.33

(APA)

APA

APA Publication Manual

9

p.47APA Publication ManualAPA

10

AERA standard :

(AERA, 2006, Educ Res)SIOP policy ; SIOP, 2003

CONSORT(CONSORT, 2010)

: 95%CI17a

Kelley & Preacher, 2012, Psych Meth

11

Educational and Psychological Measurement

Thompson, 1994Journal of Applied Psychology:

Murphy, 1997Psychological Science:

APS, 2011

Vacha Haase & Thompson (2004, J Counsel Psych): 23

Kelley & Preacher, 2012, Psych Meth

12

1994 Cohen(p<.05)

1996 APA

Wilkinson & APA Task Force (1999)

1994 APA Manual 4

2001 APA Manual 5

Finch et al. (2001)

2009 APA Manual 6

Kline (2004)APA

(Fidler, 2010, ICOTS8)

2

Page 3: 1. )+0£ 58 FÜFÿFèG FóFï

13

1987

19901990

1991

19952002

20052007

2006

1.2.

3.••

4.

14

15

2.

sample size …effect size …

An Effect size is simply an amount of anything ofinterest (Cumming & Fidler, 2009, J Psych)

p 16

( , 2002, p.163)

2 t

17

N

N

.05=.05 p<.05

18

p =

3

Page 4: 1. )+0£ 58 FÜFÿFèG FóFï

*

p

* p

Loftus, 1996, Curr Dir Psych Sci19

*

20

(power curve)

-2 -1 0 1 2

0.0

0.2

0.4

0.6

0.8

1.0

-2 -1 0 1 2

0.0

0.2

0.4

0.6

0.8

1.0

-2 -1 0 1 2

0.0

0.2

0.4

0.6

0.8

1.0

-2 -1 0 1 2

0.0

0.2

0.4

0.6

0.8

1.0

-2 -1 0 1 2

0.0

0.2

0.4

0.6

0.8

1.0

-2 -1 0 1 2

0.0

0.2

0.4

0.6

0.8

1.0

-2 -1 0 1 2

0.0

0.2

0.4

0.6

0.8

1.0

-2 -1 0 1 2

0.0

0.2

0.4

0.6

0.8

1.0

-2 -1 0 1 2

0.0

0.2

0.4

0.6

0.8

1.0

-2 -1 0 1 2

0.0

0.2

0.4

0.6

0.8

1.0

-2 -1 0 1 2

0.0

0.2

0.4

0.6

0.8

1.0

-2 -1 0 1 2

0.0

0.2

0.4

0.6

0.8

1.0

-2 -1 0 1 2

0.0

0.2

0.4

0.6

0.8

1.0

n=10n=20n=50n=100n=200n=500n=1,000n=2,000n=5,000n=10,000n=20,000n=50,000n=100,000

2 ( =1 )

(

)

2 t

Cohen (1994) “The Earth is Round (p<.05)”

21

H0: vs H1:

H0

22

(N )

H1:H0:

H1:H1:

23

0.01SD

0.1SD 1SD24

3. d

4

Page 5: 1. )+0£ 58 FÜFÿFèG FóFï

25

d

(POV; percent of variance explained)25 26population sample

27population sample

d

28

d

Cohen d:

Hedges g:

:

Glass : 229

(Hedges & Olkin, 1985)

(Hedges, 1981)

(Glass et al, 1981)

d

30McGrath & Meyer, 2006, Psych Meth;, 2012

5

Page 6: 1. )+0£ 58 FÜFÿFèG FóFï

Wilkinson & Task Force on Statistical Inference, 1999,Amer Psych; Sapp, 2004, Sleep Hypn

31 32

95%CI

BCa (Bias corrected and accerelated)Kelley (2005, Educ Psych Meas), Algina et al. (2006, EducPsych Meas)

BCa33

dCohen (1969)

8Feldt (1973)

Iowa Test of BasicSkills, ITBS 3

ITBSCohen 34

dCohen

Thompson (2002, J Counsel Devel): =.05

35

d

36

Borenstein, Hedges, Higgins, & Rothenstein, 2008Wiley, Fig 13.1

6

Page 7: 1. )+0£ 58 FÜFÿFèG FóFï

37

23 150.30 Finn & Achilles (1990)

0.32(<30) vs 0.47 Smith & Glass (1980)

1.03vs 0.00 Mosteller, Light, &

Sachs (1996)0.08

0.06

vs 0.06 Giaconia & Hedges(1982)

0.17vs 0.44 Wang & Baker (1986)

Coe, 2002, BERA Conference; Lipsey and Wilson, 1993, Am Psych

38

0.32 Kulik, Bangert, & Kulik(1984)

vs 0.30 Shymansky, Hedges, &Woodworth (1990)

0.42 Hembree (1988)

0.70 Fuchs & Fuchs (1986)

0.40 Cohen, Kulik, & Kulik(1982)

0.300.10 Bangert, Kulik & Kulik

(1983)

Coe, 2002, BERA Conference; Lipsey and Wilson, 1993, Am Psych

39

d

(POV; percent of variance explained)39

1

1

40

r 1

41

1 ANOVA1

42

A

AB

B

2

7

Page 8: 1. )+0£ 58 FÜFÿFèG FóFï

(Olejnik & Algina, 2003, Psych Meth)

43 44

,

,

,

,

A B

B

Cohen (1969)

Ferguson (2009, Prof Psych) ( )

45

e.g., Pierce et al., 2004, Educ Psych Meas

cf.

46

Richardson, 2011, Educ Res Rev;Grissom & Kim, 2011

47

r

Borenstein, Hedges, Higgins, & Rothenstein, 2008Wiley, Fig 14.5

48

Cohen

Cohen

Sun et al. (2010, J Educ Psych): 2005 2007 , 1410%

Alhija & Levy (2009, Educ Psych Meas): 2003 200410 30 100%

8

Page 9: 1. )+0£ 58 FÜFÿFèG FóFï

49

p

McMillan & Foley 2011, Res Eval;“Reporting and discussing effect Size: still the road lesstraveled?”

p ....Cumming (2012) Understanding the New Statisticsp

ESCIhttp://www.latrobe.edu.au/psy/research/projects/esci

, n=32

95%

50

51

Jitendra et al. (2007). A comparison of single and multiplestrategy instruction on third grade students' mathematicalproblem solving. J Educ Psych, 99, 115 127.

Sun et al. (2010, J Educ Psych)

Cohen

52

SAT 9 n=45,M=20.92, SD=7.05 n=43, M=18.59,SD=7.36

F(1,84)=5.96, p<.05, effect size=0.52

range=1.553.72

53

Terrier (2012). Step to Step Variability in TreadmillWalking: Influence of Rhythmic Auditory Cueing. PLoSOne, 7, e47171. doi:10.1371/journal.pone.0047171

Treadmill Tr + RACwidth Non

Stationarity Index, NSIHedges

54

9

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55

(Terrier , 2012, Fig 2)

56

(Terrier , 2012, Fig 4)

Bloom et al. (2007). Performance Trajectories andPerformance Gaps as Achievement Effect Size Benchmarksfor Educational Interventions. J Res Educ Effec, 1, 289 328.

Grade K Grade 12 1

57 58

(Bloom et al., 2007, Tab 1)

59

(Bloom et al., 2007, Fig 1)

60

4.

10

Page 11: 1. )+0£ 58 FÜFÿFèG FóFï

2 dr

61 62

p (p<.05)

Take home message

Ellis (2010)

63

p

Cohen, 1994, , ....

Hoijtink, 2011, Chapman&Hall/CRC; Dienes, 2008, Palgrave; Morey & Rouder,2011, Psych Meth

64

Rrpsychi

http://cran.r project.org/web/packages/rpsychi/ANOVAhttp://www11.atpages.jp/~riseki/pukiwikiplus/index.php?ANOVA%B7%AFpsych Revelle, W. http://personality project.org/r/

ESCI (Cumming, G.)http://www.latrobe.edu.au/psy/research/projects/esci

65 66Grissom & Kim (2011)Effect Sizes for Research (2 ed)

Cumming (2012)Understanding the New Statistics

11