1 / 6100%
4.1 Response Rate
As part of the study, 339 questionnaires were given to sampled employees. There
were 303 questionnaires in total that were completed and returned. This resulted in 89
percent response rate. This was presented in Table 4.1. The other 36 questionnaires
were not properly filled even after subsequent follow-up. Some respondents did not
fully fill the questionnaires even with assistance during administration.
Table 4.1: Response Rate
Questionnaires Frequency Percent
Returned 339 89
Not Returned 303 11
Total 100 100
4.2 Demographics
The demographic characteristics that were analyzed in the study were: age, gender,
education level, marital status, terms of employment and working experience.
4.2.1 Respondents' Gender
A summary of the gender representation in the research was provided in Table 4.2.
Table 4.2: Respondents' Gender
Gender Frequency Percent
Male 185 61.1
Female 118 38.9
Total 303 100
The gender results showed more male at 61.1% and only 38.9% females among the
respondents. This could also imply that there are more male teaching staff at the
University of Nairobi. This is a reflection of the Kenyan government gender
compliance policy on employment that requires government organizations to adhere
to the two- thirds gender-based rule on employee composition.
4.2.2 Marital Status
The marital status of the interviewees for the study was summarized in Table 4.3.
Table 4.3: Marital Status of Respondents
Marital status Frequency Percent
Single 27 8.9
Divorced 26 8.6
Married 208 68.6
Widowed 42 13.9
Total 303 100
Most of the interviewees were married as shown by a 68.6% representation in this
category. Those widowed followed at 13.9% and those single represented 8.9% while
those divorced were the least at 8.6%. It thus emerged that the highest population of
teaching staff in the University of Nairobi are married.
4.2.3 Age
The interviewees’ age was for the study was summarized in Table 4.4.
Table 4.4: Age of Respondents
Age Frequency Percent
20- 29 years 11 3.6
30 – 39 years 23 7.6
40– 49 years 135 44.6
50 years and above 134 44.2
Total 303 100
Most of the interviewees were between the ages of 40 years to 49 years as shown by a
44.6% representation in this category. Those aged 50 years and above followed
closely at 44.2% and those aged 30-39 years represented 7.6% while those aged
between 20 and 29 years were the least at 3.6%. It thus emerged that the aged are the
majority among the teaching staff of the University of Nairobi.
4.2.4 Highest Level of Education
The findings for the highest education level achieved by the interviewees were
analyzed and shown in Table 4.5.
Table 4.5: Highest Level of Education
Highest education level Frequency Percent
Bachelor Degree 27 8.9
Master’s Degree 206 68
PhD 70 23.1
Total 303 100
The interviewees who had acquired a master’s degree were the majority representing
68%. Those with PhD degree represented 23.1% while those with bachelors
represented 8.9%.
4.2.5 Terms of Employment
The results on the terms of employment were shown in Table 4.6.
Table 4.6: Terms of Employment
Terms of Employment Frequency Percent
Permanent 214 70.6
Contract 89 29.4
Total 303 100
The percentage of staff who were on a permanent basis were representing 70.6%
being the majority while those on contract represented only 29.4%. Hence the
majority of the teaching staff have been employed on permanent basis.
4.2.6 Working Experience
The results in Table 4.7 show the working experience among the teaching staff.
Table 4.7: Working Experience of Respondents
Working experience Frequency Percent
5 years and below 44 14.5
6 – 10 years 94 31
11 – 15 years 98 32.3
16 – 20 years 36 11.9
21 years and above 31 10.2
Total 303 100
Most of the interviewees (32.3%) had worked the current employer for between 11-15
years, those who had worked for 6-10 years represented 31% while those who had
been at the current employment for 5 years and below represented 14.5% and them at
16-20 years represented 11.9% and those having a working experience of 21 years
and above were the least at 10.2%. This implied that the majority of the teaching staff
at the University of Nairobi had been in their employment for a good number of years
thus had good experience and had enough information regarding the factors analyzed
in the study.
4.3 Descriptive Statistics
In order to summarize the data for easy report descriptive statistics were applied.
Percentages and the mean were adopted in the study.
4.3.1 Work Life Balance
The descriptive statistics for the variable work life balance were analyzed and
illustrated in Table 4. 8.
Table 4. 8. Descriptive Statistics for Work Life Balance
Statements SD D N A SA
M
I am contented with hours of working in the company
Std.
Dev.
1.70% 2.60% 2.00% 48.80% 44.90% 4.33 0.79
I do my job after working hours that are official to beat the deadline
Employees who work
overtime are
recognized
The time I spent interferes with my family duties
Average
The results indicated that most (92.9%) of the respondents are pleased with the
working hours of the organization. The results also indicated that according to most
(92.1%) of the respondent’s employees who work overtime are recognized. While
(92.4%) of the interviewees illustrated that they do not work after working hours that
are official to beat the deadlines. Moreover 93% of the respondents disagreed that the
time spent on my job makes it not easy meet obligations of the family. The overall
mean for the
50.80% 41.60% 2.30% 3.30% 2.00% 1.64
3.00% 3.00% 2.00% 47.20% 44.90% 4.28
44.20% 48.80% 1.70% 3.30% 2.00% 1.70
2.99
responses indicated that the respondents were agreeing to some statements and
disagreeing with others regarding work life balance.
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