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Chapter 4
Statistical analysis and interpretation of data
4.1 Introduction
The previous chapter presented the methodology adopted for the present investigation, while
this chapter presents the statistical analysis of the data and the interpretation of the results.
After the data has been collected, it is processed using Microsoft Excel – 2007 Software. The
statistical techniques adopted are means and standard deviation, analysis of variation,
Pearson’s Correlation, and Regression. SPSS 18.0, statistical software, has been used to
conduct various statistical analyses. The results obtained thereby have been presented and
interpreted. This has been done after obtaining the perception of recreational facilities
available or made available by the management for utilisation in the organisation, for
utilisation by organisational employees, planning and conduct of recreation activities, and
their perceptions on contribution made. Aim of this investigation is to inquire into influence
of the recreational facilities on the employee contribution made towards their organisations
strategy. The collected data has been subjected to statistical treatments to arrive at the relevant
conclusions. It begins with the characteristics of the sample, sample design and the descriptive
statistics of the variables. Suitability and reasonability of the statistical instruments
employed an analysis of their reliability and validity has been included. It is also intention of
the researcher to report significant finding vis-à-vis attitudes of employees of variable
demographics, namely, gender ( male and female), age (≤25, 26-35, 36-45, 46-55, 56≥),
highest level of education ( Masters, M.Phil, PhD), marital status (married and unmarried),
work experience (2-5, 6-10, 11-15, 16-20, 21-25 and 26> years), experience in the current
position (designation) and experience in the current organisation.
Chapter 4: Statistical analysis and interpretation of data
The chapter has been organised under the following sections:
1. Descriptive statistics (frequency, means, standard deviation and percentages)
2. Bivariate analysis (Correlation)
3. Multivariate analysis (Regression)
4. Univariate analysis (ANOVA).
4.2 Sample Characteristics
The technique of judgement and convenience sampling has been employed to determine
sample for the study. A handy mix of organisations from IT, manufacturing, research and
development, public or private were chosen to represent the population of Indian
organisations.
An aggregate of 450 questionnaires was distributed personally by hand by the researcher, out
of which 210 completed questionnaires were returned, comprising a response rate of 46.7%.
Seven responses were eliminated due to excessive missing data. Valid sample size for testing
the hypotheses was 202 (45.11%). Tables from 4.1 to 4.9 present the profile of the
respondents with regard to gender, age, highest level of education, marital status, working
experience, experience in the current position and experience in the current organisation.
Names of the respondent organisations have been omitted on their instructions. All the
respondents were full-time employees who had completed at least two years in service with
their present organisations.
4.3 Respondent profile
The sample of respondents was drawn from ten different IT Services and manufacturing
organisations located in Bangalore. The number of participants varied amongst the
organisations - highest being 30.2 % from one manufacturing company and the least 2.97%
from one of the IT Solutions companies. The sample drawn was fully representative.
2
Chapter 4: Statistical analysis and interpretation of data
Table 4.1: Indicating frequency and percentage based on departments
dept
66 32.7 33.0 33.0
27 13.4 13.5 46.5
50 24.8 25.0 71.5
57 28.2 28.5 100.0
200 99.0 100.0
2 1.0
202 100.0
Personnel &Administration
Research & Development
Purchase & Procurement
Operations
Total
Valid
SystemMissing
Total
Frequency Percent Valid PercentCumulative
Percent
In terms of functional departments, the above table indicates that 33.0% of the respondents
were from the Personnel & Administration department, 13.5% from Research &
Development, 24.8% from Purchase & Procurement, and 28.5% from Operations.
Table 4.2: Indicating frequency and percentage based on designation
designation
49 24.3 25.0 25.0
30 14.9 15.3 40.3
20 9.9 10.2 50.5
24 11.9 12.2 62.8
47 23.3 24.0 86.7
26 12.9 13.3 100.0
196 97.0 100.0
6 3.0
202 100.0
Head of Department
Senior Manager
Manager
Assistant
Immediate Supervisor
Entry Level
Total
Valid
SystemMissing
Total
Frequency Percent Valid PercentCumulative
Percent
In terms of designation, the above table indicates that 25.0% of the respondents were Heads of
Departments, 153.% were Senior Managers, 9.9% Managers, 11.9% Assistant managers,
23.3% Supervisors, and 13.3% Entry Level.
3
Chapter 4: Statistical analysis and interpretation of data
Table 4.3: Indicating frequency and percentage based on gender
gender
44 21.8 22.8 22.8
149 73.8 77.2 100.0
193 95.5 100.0
9 4.5
202 100.0
female
male
Total
Valid
SystemMissing
Total
Frequency Percent Valid PercentCumulative
Percent
The above table indicates that most of the respondents (77.2%) were male, followed by
female (22.8%) in terms of gender.
Table 4.4: Indicating the frequency and percentage based on age
age
26 12.9 12.9 12.9
144 71.3 71.3 84.2
19 9.4 9.4 93.6
8 4.0 4.0 97.5
5 2.5 2.5 100.0
202 100.0 100.0
25- years and Below
26-35 years
36-45 years
46-55 years
56- years and Above
Total
ValidFrequency Percent Valid Percent
CumulativePercent
The above table indicates that most of the respondents were from the age group between 26 –
35 yrs (71.3 %) followed by 25 yrs and below (12.9 %), 36-45 yrs (9.4 %) and the least was
from 56 yrs and above (2.5 %).
4
Chapter 4: Statistical analysis and interpretation of data
Table 4.5: Indicating the frequency and percentage based on education
edn
10 5.0 5.3 5.3
93 46.0 48.9 54.2
77 38.1 40.5 94.7
10 5.0 5.3 100.0
190 94.1 100.0
12 5.9
202 100.0
Diploma
Bachelor's Degree
Masters Degree
Ph D
Total
Valid
SystemMissing
Total
Frequency Percent Valid PercentCumulative
Percent
The above table indicates that most of the respondents were having Bachelor’s degree
(48.9%), followed by Master degree (40.5%), Ph D (5.3%) and Diploma holders (5.3%).
Table 4.6: Indicating the frequency and percentage of marital status
marital
97 48.0 57.7 57.7
71 35.1 42.3 100.0
168 83.2 100.0
34 16.8
202 100.0
Married
Single
Total
Valid
SystemMissing
Total
Frequency Percent Valid PercentCumulative
Percent
The above table showing marital status of respondents indicates that most of the respondents
were married (57.7%) followed by single respondents (42.3%)
5
Chapter 4: Statistical analysis and interpretation of data
Table 4.7: Indicating the frequency and percentage of total work experience
totworkexperience
70 34.7 34.7 34.7
57 28.2 28.2 62.9
34 16.8 16.8 79.7
14 6.9 6.9 86.6
12 5.9 5.9 92.6
15 7.4 7.4 100.0
202 100.0 100.0
2-5 years
6-10 years
11-15 years
16-20 years
21-25 years
More than 25 years
Total
ValidFrequency Percent Valid Percent
CumulativePercent
The above Table indicates that most of the respondents were having a work experience of
2-5 yrs (34.7%), followed by 6-10 yrs (28.2%), 11-15 yrs (16.8 %), >25 yrs (7.4%), 16-20 yrs
(6.9%) and least from 21-25 yrs with (5.9%).
Table 4.8: Indicating the frequency and percentage years in current position
desigkexperience
140 69.3 70.0 70.0
38 18.8 19.0 89.0
12 5.9 6.0 95.0
7 3.5 3.5 98.5
3 1.5 1.5 100.0
200 99.0 100.0
2 1.0
202 100.0
2-5 years
6-10 years
11-15 years
16-20 years
21-25 years
Total
Valid
SystemMissing
Total
Frequency Percent Valid PercentCumulative
Percent
6
Chapter 4: Statistical analysis and interpretation of data
The above table indicates that most of the respondents were holding to their current position
for 2-5 (70.0%) yrs, followed by 6-10 yrs (19.0%), 11-15 yrs (6.0 %), 16-20 yrs (3.5%) and
least from 21-25 yrs with (1.5%).
Table 4.9: Indicating the frequency and percentage of total years working in the
current organisation
orgexperience
129 63.9 64.8 64.8
40 19.8 20.1 84.9
17 8.4 8.5 93.5
8 4.0 4.0 97.5
3 1.5 1.5 99.0
2 1.0 1.0 100.0
199 98.5 100.0
3 1.5
202 100.0
2-5 years
6-10 years
11-15 years
16-20 years
21-25 years
More than 25 years
Total
Valid
SystemMissing
Total
Frequency Percent Valid PercentCumulative
Percent
The above table indicates that most of the respondents were working in the current
organisation for a period of 2-5 yrs (64.8%) followed by followed by 6-10 yrs (20.1%), 11-15
yrs (8.5 %), 16-20 yrs (4.0%), 21-25 yrs with (1.5%) and the least from >25 yrs with (1.0%).
7
Chapter 4: Statistical analysis and interpretation of data
4.4 Descriptive statistics
Descriptive statistics describes the normality distribution of the scores of the sample under
investigation. The descriptive statistics for the variables examined in this study is presented in
this section. Tests of internal consistency (Cronbach’s Alpha) to assess the reliability of each
of the scales used were conducted. First, Cronbach’s Alpha for pilot study of the instrument
devised by the researcher was determined, and then, after some modifications, the tests were
subjected to the final questionnaire. All of the measures included in the questionnaire showed
acceptable levels of internal consistency reliability. The internal reliability for Employees’
productivity as a whole measured .887 while recreational facilities measured .837 and
recreation activities .951 for the present sample.
4.4.1 To map employees perception towards availability of Recreational facilities in Indian organisations Table 4.10: Indicating mean, standard deviation and normal distribution histogram
for Recreation facilities dimensions along with the scale statistics.
8
Chapter 4: Statistical analysis and interpretation of data
Descriptive Statistics
5.91 1.570
5.90 1.704
5.81 1.907
5.66 1.943
5.51 2.278
5.44 2.381
5.22 2.482
5.10 2.411
4.98 2.609
4.61 2.772
4.21 2.717
4.03 2.793
3.85 2.847
3.24 2.755
2.41 2.408
1.80 1.906
1.46 1.409
1.31 1.270
recFacil_Org
recFacil_Policy
recFacil_NeedForm
recFacil_asWaste_reversed
recFacil_In_CCTT
recFacil_out_Park
recFacil_In_MultiHall
recFacil_DayNight
recFacil_In_AVLib
recFacil_In_Gym
recFacil_out_FamPic
recFacil_out_Adven
recFacil_out_Bad
recFacil_In_Bad
recFacil_out_Tennis
recFacil_In_Billiards
recFacil_In_Saunabath
recFacil_In_Other
MeanStd.
Deviation
Amongst the eighteen items comprising the scale for recreational facilities, employees
perceived periodic organization, institutionalization/ policy, need for formalization, and not
considered as wastage of resources were found to have the highest mean ratings (above 5.50).
At the other extreme, other indoor facilities, indoor sauna bath, indoor billiards, and outdoor
badminton received the lowest ratings (below 2.50) on a 7 point Likert scale.
Employees perceived no provisioning of recreational facilities with respect to outdoor
badminton (3.85), indoor badminton (3.24), outdoor tennis (2.41), indoor billiards (1.80),
indoor sauna bath (1.46), or any other facility (1.31) on the scale from inclined to disagree (3)
to disagree (1); moderate provisioning of recreational facilities such as outdoor adventure
(4.03), outdoor family picnic (4.21), indoor gymnasium (4.61) and indoor audio/ video and
conventional library. Whereas, provisioning of recreational facilities such as provisioning for
day and night shifts (5.10), multipurpose hall (5.22), outdoor park (5.44), indoor carom, chess
and table tennis (5.51) was perceived to be moderately high. Highest in ratings was the policy
institutionalizing recreation in organization rules (5.91), organised by earmarking appropriate
period (5.90), need to be formalised (5.81), and recreational facility is not a waste of effort
(5.66).
9
Chapter 4: Statistical analysis and interpretation of data
The
level
of perception of importance of recreational facilities varied considerably in the range 1.00 -
6.00, with a peak close to 5.00 - 5.50. The mean value was 4.29, with standard deviation 1.14
and the overall perception of the availability of Recreational Facilities was found to be
moderate with the policy Item No 6 ‘Organisation of Recreational Facilities needs to be
formalised in the company rules’ being the highest and ‘Any other Recreational Facility is
existing’, the least.
4.4.2 To map perception of employees towards Recreational activities in Indian organisations
Table 4.11: Indicating mean, standard deviation and normal distribution histogram
for Recreation activities dimensions along with the scale statistics.
Amongst the twenty-eight items comprising the scale for recreational activities organised,
involvement of activities advancing communication, goal-setting and clarification of goals, 10
Figure 4.1: Frequency histogram of mean ratings for recreational facilities dimensions
Chapter 4: Statistical analysis and interpretation of data
creating satisfaction through the process of rewards & recognition, building of trust and
confidence, self-efficacy, and team-work were found to have the highest mean ratings (above
5.50). At the other extreme, feedback/ involved feedback between leadership and participants,
practicing of spiritual discourses, spiritual health and inclusion of immediate families in
outdoor activities for example, picnics, trekking and social gatherings received the lowest
ratings (below 5.0).
7.00
6.00
5.00
4.00
3.00
2.00
1.00
RecAct
40
30
20
10
0
Frequency
Mean =5.4278
Std. Dev. =1.3048
N =202
Histogram
Figure 4.2: Frequency histogram of mean ratings for recreational activities dimensions
The level of perception of availability of Recreational Activities varied considerably in the
range 2.00 - 7.00, with a peak close to 6.00 - 5.75. The mean value was 5.43, with standard
deviation 1.30.
11
Chapter 4: Statistical analysis and interpretation of data
4.4.3 To find employees perception towards perceived contribution of employees as a result of recreation facilities (inclusive of recreation activities).
Table 4.12: Indicating mean, standard deviation and normal distribution histogram
for employee contribution dimensions along with the scale statistics.
It has been observed that perception of employees towards employee contribution
(productivity) as a result of recreational facilities is very high (mean 5.89). Most of the ratings
centred around on a Likert scale of 7 points. This indicates the strength of perception of
employees and their positive attitude towards importance of recreational facilities in
enhancement of employee contribution.
Amongst the sixteen items comprising the scale for employee contribution, belief that happy
employees are productive employees, loyalty to their organisations, better psychological
health, trust in support of colleagues and organisation doing a better job, and physical well-
being were found to have the highest mean ratings (above 6.20). At the other extreme, thrill of
winning in games and sports and its connection with productivity (4.26) and improvement in
organizational citizenship behaviour (5.01) received lowest ratings but still remained on
positive side of the scale (> 4 points).
The level of perception of importance of employee contribution varied considerably in the
range 3.00 - 7.00, with a peak close to 6.25 - 6.50. The mean value was 5.89, with standard
deviation 1.00.
12
Figure 4.3: Frequency histogram of mean ratings for employee contribution dimensions
Chapter 4: Statistical analysis and interpretation of data
4.5 Correlational analysis (bivariate analysis)
4.5.1 Hypothesis H₀₁: There is no significant relationship between organizational
Recreational facilities and Employee contribution.
4.5.2 Hypothesis H₀₂: There is no significant relationship between organizational
Recreation activities and Employee contribution.
Table 4.13: Indicating Pearson correlations among Recreational facilities, Recreation
activities and Employee contribution
Dimensions under Investigation
Employee Contribution
Recreational Facilities .533**Recreation Activities .769**
There was significant positive correlation between the perception of importance of
recreational facilities and recreational activities and the level of employee contribution. Thus,
the level of employee contribution is related to the perception of importance of recreational
facilities and the perception of importance of recreational activities. However, it was also
observed that Recreation activities variable was more positively correlated than Recreational
facilities to Employee contribution. Strength of correlation in case of Recreation Activities
was stronger (.769) as compared to (.533), in case of Recreational Facilities at .01 level of
significance.
Table 4.14 results indicate that null hypothesis H₀₁ is rejected and the alternate hypothesis is
accepted that there is significant relationship between employees’ perception of Recreational
facilities and employee contribution to the organisation. Significant positive association was
found between recreational facilities and employee contribution (.533**). The strength of
relationship was moderate (.533**).
13
Chapter 4: Statistical analysis and interpretation of data
Table 4.14 results also indicate that null hypothesis H₀₂ is also rejected and the
alternate hypothesis is accepted that there is significant relationship
between employees’ perception of Recreation activities and employee
contribution to his organisation. Significant positive relationship was found between
recreation activities and employee contribution. The strength of relationship was high
(.769**).
4.6 Multivariate analysis – stepwise regression
4.6.1 Hypothesis 3 (H₀₃): Organizational Recreational facilities and
Recreation activities do not significantly influence employee Contribution.
Table 4.14: Indicating R square of employee contribution on Recreational facilities
and Recreation activities, ANOVA and coefficients of stepwise multiple regression.
Multiple linear regression of level of employee contribution on the independent variables of
perception of importance of recreational facilities and perception of importance of
recreational activities was found to be statistically significant (with Fcal = 150.350, and p-
value = 0.000). Both of the independent variables were found to have a significant impact on
the level of employee contribution, and together explained 60.2% of the overall variation in
level of employee contribution. Further, the perception of importance of recreational activities
had more than 5.5 times the impact as the perception of importance of recreational facilities
on the level of employee contribution.
14
Chapter 4: Statistical analysis and interpretation of data
It was found that recreational facilities and recreation activities significantly influenced
employee contribution. The results of Table 4.17 indicate that null hypothesis H₀₃ is
rejected and alternate hypothesis that recreational facilities and recreation
activities influence employee contribution significantly, is accepted.
4.7 Univariate analysis – ANOVA
4.7.1 Hypothesis H₀₄: There are no significant differences across demographics and
with reference to perceptions of organizational recreational facilities and organizational
recreation activities.
4.7.2 Hypothesis H₀₅: There are no significant differences across demographics with
reference to perceptions of Employees contribution to their organizations.
15
Chapter 4: Statistical analysis and interpretation of data
Table 4.15.1: Indicating summary of perceptions of employees across Departments, with
reference to the importance of Recreational facilities, Recreation activities and employee
contribution as a result of Recreational facilities.
Table 4.15.2: Indicating ANOVA for Recreational facilities, recreation activities and
employee contribution as a result of Recreational facilities across Departments.
There was significant difference in the perception of importance of recreational facilities and
the level of employee contribution between different departments. The perception of
importance of recreational facilities and of the level of employee contribution was
significantly lower for the purchase & procurement department than for other departments.
There was no significant difference in the perception of importance of recreational activities
between different departments.
It was found that results of Table 4.16.2 indicate that there are significant differences in
perception of employees vis-à-vis recreational facilities but congruence of perception was
observed towards recreation activities across Departments. Hypothesis H₀₄ is partially
rejected and alternate hypothesis that significant difference in perception exists across
departments in relation to recreation facility but not recreation activities.
Table 4.16.2 results indicate that there is significant difference in opinion in relation to
Employee contribution across departments. Null hypothesis H₀5 is rejected and alternate
hypothesis that significant difference in opinion on importance of employee contribution
exists across Departments.
16
Chapter 4: Statistical analysis and interpretation of data
Table 4.16.1: Indicating summary of perceptions of employees across Designations, with
reference to the importance of Recreational facilities, Recreation activities and employee
contribution as a result of Recreational facilities.
Report
3.5740
4.1065
4.6060
4.2530
4.7058
4.8117
4.2795
1.39293
.93640
1.08943
1.07193
.81717
.75637
1.14556
4.9960
5.4104
5.3321
5.5227
5.6989
5.7537
17
Chapter 4: Statistical analysis and interpretation of data
5.4273
1.37858
1.12951
.92929
1.30648
1.28788
1.54071
1.31128
5.6342
5.6646
5.7536
6.0000
6.0548
6.4014
5.8985
.96182
.87430
.83777
1.05986
1.14740
.81837
1.00385
Mean
Std. Deviation
Mean
Std. Deviation
Mean
Std. Deviation
RecFac
RecAct
Contrib
Head of
Department
Senior
Manager
Manager
Assistant
Manager
18
Chapter 4: Statistical analysis and interpretation of data
Supervisor
Entry Level
Total
designation
Table 4.16.2: Indicating ANOVA for Recreational facilities, recreation activities and
employee contribution as a result of Recreational facilities across Designations.
There was significant difference in the perception of importance of recreational facilities and
the level of employee contribution between different designations. The perception of
importance of recreational facilities and of the level of employee contribution was
significantly lower for heads of departments and senior managers than for other designations.
There was no significant difference in the perception of importance of recreational activities
between different designations.
It was found that results of Table 4.17.2 indicate that there are significant differences in
perception of employees vis-à-vis recreational facilities but congruence of perception was
observed towards recreation activities across Designations. Hypothesis H₀₄ is partially
rejected and alternate hypothesis that significant difference in perception exists across
designations in relation to recreation facility but not recreation activities.
Table 4.17.2 results indicate that there is significant difference in opinion in relation to
Employee contribution across designations. Null hypothesis H₀5 is rejected and alternate
hypothesis that significant difference in opinion on importance of employee contribution
exists across designations.
19
Chapter 4: Statistical analysis and interpretation of data
Table 4.17.1: Indicating summary of perceptions of employees across Gender, with
reference to the importance of Recreational facilities, Recreation activities and employee
contribution as a result of Recreational facilities.
Table 4.17.2: Indicating ANOVA for Recreational facilities, recreation activities and
employee contribution as a result of Recreational facilities across Gender.
20
Chapter 4: Statistical analysis and interpretation of data
There was significant difference in the perception of importance of recreational facilities and
the importance of recreational activities between men and women. The perception of
importance of recreational facilities and of the importance of recreational activities was
significantly higher for men than for women. There was no significant difference in the
perception of level of employee contribution between men and women.
It was found that results of Table 4.18.2 indicate that there are significant differences in
perception of men and women vis-à-vis recreational facilities and recreation activities across
Gender. Hypothesis H₀₄ is rejected and alternate hypothesis that significant difference in
perception exists across Gender in relation to recreational facilities and recreation activities.
Table 4.18.2 results indicate that there is no significant difference in opinion in relation to
Employee contribution across Gender. Null hypothesis H₀5 is accepted across Gender.
21
Chapter 4: Statistical analysis and interpretation of data
Table 4.18.1: Indicating summary of perceptions of employees across Age, with
reference to the importance of Recreational facilities, Recreation activities and employee
contribution as a result of Recreational facilities.
Table 4.18.2: Indicating ANOVA for Recreational facilities, recreation activities and
employee contribution as a result of Recreational facilities across Age.
There was significant difference in the perception of importance of recreational facilities and
the importance of recreational activities between age groups. The perception of importance of
recreational facilities and of the importance of recreational activities generally increased with
age group. There was no significant difference in the perception of level of employee
contribution between age groups.
It was found that results of Table 4.19.2 indicate that there are significant differences in
perception of employees vis-à-vis recreational facilities and recreation activities across Age.
Hypothesis H₀₄ is rejected and alternate hypothesis that significant difference in perception
exists across Age in relation to recreational facilities and recreation activities.
Table 4.19.2 results indicate that there is no significant difference in opinion in relation to
Employee contribution across Age. Null hypothesis H₀5 is accepted across Age.
22
Chapter 4: Statistical analysis and interpretation of data
Table 4.19.1: Indicating summary of perceptions of employees across Educational
qualification, with reference to the importance of Recreational facilities, Recreation
activities and employee contribution as a result of Recreational facilities.
Table 4.19.2: Indicating ANOVA for Recreational facilities, recreation activities and
employee contribution as a result of Recreational facilities across Educational
qualification.
23
Chapter 4: Statistical analysis and interpretation of data
There was significant difference in the perception of importance of recreational facilities, the
importance of recreational activities, and the level of employee contribution between
educational groups. The perception of importance of recreational facilities, recreational
activities, and the level of employee contribution were significantly lower for Masters’ degree
holders than for others.
It was found that results of Table 4.20.2 indicate that there are significant differences in
perception of employees vis-à-vis recreational facilities and recreation activities across
Educational qualification. Hypothesis H₀₄ is rejected and alternate hypothesis that significant
difference in perception exists across educational qualification in relation to recreational
facilities and recreation activities.
Table 4.20.2 results indicate that there is significant difference in opinion in relation to
Employee contribution across educational qualification. Null hypothesis H₀5 is rejected across
educational qualification and alternate hypothesis that there is significant difference in
perception across educational qualification of employees in relation to level of employee
contribution.
24
Chapter 4: Statistical analysis and interpretation of data
Table 4.20.1: Indicating summary of perceptions of employees across Marital status,
with reference to the importance of Recreational facilities, Recreation activities and
employee contribution as a result of Recreational facilities.
Table 4.20.2: Indicating ANOVA for Recreational facilities, recreation activities and
employee contribution as a result of Recreational facilities across Educational
qualification.
There was significant difference in the perception of importance of recreational activities
between married and single professionals. The perception of importance of recreational
activities was significantly higher for single professionals than for married professionals.
There was no significant difference in the perception of importance of recreational facilities
and level of employee contribution between married and single professionals..
It was found that results of Table 4.21.2 indicate that there is significant difference in
perception of employees vis-à-vis and recreation activities across Marital status but no
difference in perception of recreational facilities. Hypothesis H₀₄ is partially rejected and
alternate hypothesis that significant difference in perception exists across Marital status in
relation to recreation activities but no significant difference in perception of recreational
facilities exists.
Table 4.21.2 results indicate that there is no significant difference in perception in relation to
Employee contribution across Marital status. Null hypothesis H₀5 is accepted across Marital
status,
25
Chapter 4: Statistical analysis and interpretation of data
Table 4.21.1: Indicating summary of perceptions of employees across Total work
experience, with reference to the importance of Recreational facilities, Recreation
activities and employee contribution as a result of Recreational facilities.
Table 4.21.2: Indicating ANOVA for Recreational facilities, recreation activities and
employee contribution as a result of Recreational facilities across Total work experience.
26
Chapter 4: Statistical analysis and interpretation of data
There was significant difference in the perception of importance of recreational facilities, the
importance of recreational activities, and the level of employee contribution according to total
work experience. The perception of importance of recreational facilities, recreational
activities, and the level of employee contribution generally increased with experience, with
lowest level for professionals with less experience (less than 5 yrs.).
It was found that results of Table 4.22.2 indicate that there are significant differences in
perception of employees vis-à-vis recreational facilities and recreation activities across Total
work experience. Hypothesis H₀₄ is rejected and alternate hypothesis that significant
difference in perception exists across Total work experience in relation to recreational
facilities and recreation activities.
Table 4.22.2 results indicate that there is significant difference in opinion in relation to
Employee contribution across Total work experience. Null hypothesis H₀5 is rejected across
Total work experience and alternate hypothesis that there is significant difference in
perception across Total work experience of employees in relation to level of employee
contribution.
27
Chapter 4: Statistical analysis and interpretation of data
Table 4.22.1: Indicating summary of perceptions of employees across work experience
at the current designation, with reference to the importance of Recreational facilities,
Recreation activities and employee contribution as a result of Recreational facilities.
Table 4.22.2: Indicating ANOVA for Recreational facilities, recreation activities and
employee contribution as a result of Recreational facilities across work experience at the
current designation.
There was significant difference in the perception of importance of recreational facilities, the
importance of recreational activities, and the level of employee contribution according to
work experience at the current designation. The perception of importance of recreational
facilities, recreational activities, and the level of employee contribution generally increased
with experience, with lowest level for professionals with less experience (less than 5 yrs.).
It was found that results of Table 4.23.2 indicate that there are significant differences in
perception of employees vis-à-vis recreational facilities and recreation activities across work
experience at the current designation. Hypothesis H₀₄ is rejected and alternate hypothesis that
significant difference in perception exists across work experience at the current designation,
in relation to recreational facilities and recreation activities.
Table 4.23.2 results indicate that there is significant difference in opinion in relation to
Employee contribution across work experience at the current designation. Null hypothesis
H₀5 is rejected across work experience at the current designation and alternate hypothesis that
there is significant difference in perception across work experience at the current designation
of employees, in relation to level of employee contribution.
28
Chapter 4: Statistical analysis and interpretation of data
Table 4.23.1: Indicating summary of perceptions of employees across work experience
within the current organisation, with reference to the importance of Recreational
facilities, Recreation activities and employee contribution as a result of Recreational
facilities.
Table 4.23.2: Indicating ANOVA for Recreational facilities, recreation activities and
employee contribution as a result of Recreational facilities across work experience
within the current organisation.
29
Chapter 4: Statistical analysis and interpretation of data
There was significant difference in the perception of importance of recreational facilities, the
importance of recreational activities, and the level of employee contribution according to
work experience within the current organisation. The perception of importance of recreational
facilities, recreational activities, and the level of employee contribution generally increased
with experience, with lowest level for professionals with less experience (less than 5 yrs.).
It was found that results of Table 4.24.2 indicate that there are significant differences in
perception of employees vis-à-vis recreational facilities and recreation activities across work
experience within the current organisation. Hypothesis H₀₄ is rejected and alternate
hypothesis that significant difference in perception exists across work experience within the
current organisation, in relation to recreational facilities and recreation activities.
Table 4.24.2 results indicate that there is significant difference in perception in relation to
Employee contribution across work experience within the current organisation. Null
hypothesis H₀5 is rejected across work experience within the current organisation and
alternate hypothesis that there is significant difference in perception across work experience
within the current organisation of employees, in relation to level of employee contribution.
30