The also in qualitative research. Phenomenological research design in

The
main objective of the study is to determine the influence of organizational
commitment to the turnover intentions of the employees of the Ethiopian Civil
Service University.  Thereafter, find out
if commitment is a predictor of  turnover
intention. The study  made use of
the  descriptive-correlational research
design since  the researchers believe
that this method will yield data sufficient enough to give a clear picture of
the organizational commitment and turnover intention.  The descriptive method was used to
answer  two research questions while the
correlational research was utilized to 
explain the relationship among variables.  Test of difference was used to explain the
differences in perceptions.

 

For
an in-depth analysis of data, the researcher engaged also in qualitative
research. Phenomenological research design in particular was used to support as
accurately as possible the results of the correlation study. Phenomenological
approach seeks to illuminate the specific, identifies the phenomena as perceived
by the actors in the situation. It is the gathering of deep information and
perceptions through inductive, qualitative methods such as interviews,
discussions, and observations (Lester, 1999). In this regard, the researchers
conducted a focus group discussion from twenty (20) respondents of which ten
(10) were from the academic group and another ten (10) respondents from the
administrative group, to get the real experiences of the people involved.   All respondents were  selected 
on the basis of experience and length of service to get a more plausible
response.  The field texts were
transcribed, and thematized using a repertory grid.  Each variable was given a theme. 

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            The
researchers made  use of primary  and secondary data. Relevant documents from
the Human Resource office were utilized by the researchers as well.  These include the list of personnel, number
of leavers for the past  years and
existing policies.

 

For
the quantitative analysis, the researchers made use  of two groups of respondents primarily
because they want to determine not only the relationship among the variables
but also the differences among their 
responses.  In this case, the
first group  of respondents  is the academic staff of the  Ethiopian Civil Service University totaling
to one hundred forty six (146).  The
second group is two hundred sixty one (261) administrative  staff  
who are giving support services to the academic division.   Only employees with  one 
(1) year and above  length of
service were taken as respondents to be able to get a more plausible response
and minimize biases for the university. The researchers believe that those with
one or more years length of service can best share their experiences and
capable of assessing the status of job satisfaction dimensions.  Besides, these groups are already familiar
with the policies of the university.

 

            The
researchers made use  of  a three-page 
survey  questionnaire   to gather the information needed to achieve
the desired objectives of the study. A 
test was conducted to determine the reliability of the questionnaire.
Ten respondents who were not part of the sample size were taken to answer the
questions over a week interval. 
Questions which are not clear were modified.  Likewise, the researchers asked some experts
to review the interview guide to find out if questions were properly
formulated.

 

            On
the other hand, an interview guide was developed by the researchers.  The interview guide was consist of seven
questions which were all answered by the respondents.  Responses were encoded using a repertory
grid. 

 

The  five-point Likert numerical scale (Burns
& Burns,  2008)  with 5 as the highest and 1 as lowest was
used.  Each numerical scale had its
corresponding statistical limits and verbal descriptions.  The reliability of the scale was assessed
using the Cronbach’s Alpha method.

 

            For in-depth analysis, descriptive statistics like mean  and percentages were   used to answer questions 1 & 3.   On the other hand, to test the relationship
among variables and the reliability of the questionnaire,   Pearson’s chi-square was utilized.  This statistical tool is commonly used  in researches, particularly when one is
looking for the magnitude and direction of the association between two
variables that are on an interval or ratio scale.     To test the differences in the responses, the researcher   used Student’s two-tailed t-test.        

           

 

 

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