Presentation of the Results on factors influencing employee turnover in private hospitals
Response Rate
The questionnaires were issued to 112 staff members of the Transcom Wendo hospital in
Ruiru. Of the 112 questionnaires issued only 70 were duly filled up. This represented
62.5% of the target population. According to Mugenda and Mugenda (1999) a sample
size of 50% is good enough for analysis and interpretation because it takes into account
the maximum variability. Table 4.1 presents the findings from the data.
Table Response Rate
Respondents Frequency Percentage (%)
Target Population 112 100
Response Rate 70 62.5
Source: Primary Data, 2018
The study targeted 112 staff members from the hospital. Out of the targeted group only
70 participated by dully filling in of the questionnaire representing 62.5% of the target
population. Therefore, the number was good enough to draw inferences from.
Demographic Data
To get a comprehensive respondent profile, the study collected varied aspects of
demographic data from the respondents. They included: age, gender, and level of
education and work experience. The findings from the data were analyzed and the
findings presented.
Gender
The study sought to establish the gender composition of the respondents by asking them
to indicate their gender. The results of the findings are presented in figure 4.1.
Figure 4.1 Gender
Source: Primary Data, 2022
The figure above indicates that there were 51% male responded and 49% female responded. This
is a clear demonstration that the study tried to achieve almost an equal representation of both
genders in its respondent’s participation.
Age
One of the most important aspects of demographic data that the study sought to determine
was the age of the respondents. To determine the age of the respondents the researcher
divided age into 4 categories. The categories included 21-30 years, 31-40 years, 41-50
years and over 50 years. Figure 4.2 below presents findings of the data.
Figure 4.2 Age
Source: Primary Data, 2022
Gender
49%51% Male
Female
Age
45
40
35
30
25
20
15
10
5
0
44.9
21-30 years
31-40 years
24.6 41-50 years
18.3 12.2 Over 50 years
21-30 years 31-40 years 41-50 yearsOver 50
years
From the findings there was a clear indication that the largest number of respondents
belonged to the age category between 21-30 years representing 44.9% of the total
respondents. Those between the ages of 31-40 years were 24.6%. 18.3 5 of the total
respondents were aged between 41-50 years while those over 50 years accounted for only
12.2% of the total respondents. From these findings we can deduce that a majority of the
respondents were still in their youthful days. The findings also indicate that all the
participants who participated in the study were adults and thus they consented to give
information making the study valid.
Work Experience
In order to determine how long the respondents had worked in the institution the
researched divided the work experience section into 4 categories. The categories
included: Less than 2 years, 2-5 years, 6-10 years and over 10 years. Figure 4.3 illustrates
the findings.
Figure 4.3 Work Experience
Work Experience
Over 10 years 4
6-10 years 16.3
2-5 years 32.7
Less than 2 years
2-5 years
6-10 years
Over 10 years
Less than 2 years 46.9
0 10 20 30 40 50
Source: Primary Data, 2022
There was a clear indication that most of the respondents had worked in the institution for a
period of less than 2 years accounting for 46.9% of the total respondents. 32.7% of the
respondents had a working experience between 2 and 5 years. Those who had worked in the
hospital for a period of time amounting between 6 to 10 years represented 16.3% of the total
respondents while only 4% of the respondents had over 10 years working experience. From the
findings it can be extrapolated that most of the employee were new in the organization. The
findings also confirm that all the respondents worked in the hospital as such they were best suited
or the study since they were aware of what influences their turnover in the hospital.
Education Level
The study also determined the respondent’s highest level of education. In order to do so
the researcher divided education level into 4 categories namely: Certificate, diploma,
graduate and post graduate. Figure 4.3 presents the findings. Table 4.2 presents the results
of the findings.
Figure 4.3 Education Level
Education Level
Post Graduate 10.2
Graduate 32.7
Diploma 34.7
Certificate
Diploma
Graduate Post
Graduate
Certificate 20.4
0 10 20 30 40
The figure above suggests that the largest number of staff in the hospital is diploma
holders accounting for 34.7% of the total respondents. Graduates contributed 32.7%
of the total respondents while those with certificate level of education represented
20.4% of the total graduates. Those with post graduate level of education were the
least and accounted for 10.2% of the respondents. These findings imply that the
hospital staff had acquired some form of education. Thus, they were able to
understand the parameters the study sought to investigate.
