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Reliability Tests and Reliability analysis statistics
This is the degree to which measures are free from random error and hence providing consistent
data over time. It is the consistence, stability or dependability of a data set. Internal consistency
reliability was used to assess the ability to produce similar results when different samples are used
to measure a phenomenon at the same time period (McDaniel & Gates, 2010). The questionnaire
was piloted by testing it on ten members of staff at Kenya Bureau of standards Headquarters in
Kisumu. The Cronbach’s Alpha Coefficient assessed the internal consistency of the instrument
with alpha coefficients of above 0.7 implying reliability (Cronbach, 2004; Nunnaly,1978). George
and mallery (2000) provide the following rules of thumb; > 0.9 ─ Excellent, > 0.8 ─ Good, > 0.7
— Acceptable, > 0.6 ─ Questionable, < 0.5 ─ Poor and < 0.5 ─ Unacceptable.
Table 4.2 shows the reliability statistics of measures of four variables of the study namely
employee age, HRM Practices, employee competence and employee performance. Results
indicate that the variables were all reliable with an overall mean cronbach alpha reliability
coefficient of 0.855 (Table 4.2) which is ranged as good according to George and Mallery (2000).
Reliability analysis statistics
Serial
No.
Scale Items Cronbach Alpha ( α )
1 Employee age 3 0.829
2 Human Resource Management Practices 42 0.9114
3 Employee Competence 21 0.789
4 Employee performance 16 0.885
5 Average/mean 73 0.855
Human Resource Management Practices had the best internal consistency recording a cronbach
alpha reliability coefficient of 0.9114. It was followed by Employee performance at a cronbach
alpha reliability coefficient of 0.885, employee age 0.829 and employee competence recording
0.789.
Table 4.3 presents reliability analysis of the three components of employee age used in the study.
A total of three items were presented to three categories of respondents in a pilot study. All the
items were responded to and contributed to the overall reliability of the measures of employee
age. The cronbach alpha reliability coefficient of 0.829 was obtained, indicating a very strong
internal consistency among the three sub variables of employee age. Younger employees recorded
a cronbach alpha reliability coefficient of 0.815, middle age employees 0.813 and older
employees 0.861.
Reliability analysis for components of employee age
Serial
No.
Employee age Measures Items Cronbach
Alpha ( α )
1 Younger employees (18 yrs – 39 yrs) 1 0.815
2 Middle age employees (40 yrs – 49 yrs) 1 0.813
3 Older employees (50 yrs – 60 yrs) 1 0.861
3 Average/mean 3 0.829
Table 4.4 presents reliability analysis of the five components of HRM practices provided in the
study. A total of 42 items were presented to respondents in a pilot study and all the items were
responded to and contributed to the overall reliability of the components of HRM practices. The
cronbach alpha reliability coefficient of 0.9114 was recorded, indicating a very strong internal
consistency among the 42 sub variables of HRM Practices.
Tests of Reliability of the components of HRM practices adopted for the study is summarized in
table 4.4 giving the alpha coefficient of employee participation and empowerment, with twelve
items as 0.936, employee training and development with eleven items as 0.923, adequate and fair
compensation with seven items as 0.904, employee welfare benefits with five items as 0.863 and
performance management with seven items as 0.931. The overall average/mean of the
components of HRM practices was recorded as 0.9114 which was a very high alpha coefficient
implying a very high internal consistency.
Test results for Reliability for Components of HRM practices
Serial
No.
HRM practices measures Items Cronbach
Alpha ( α )
1 Employee participation and
empowerment
12 0.936
2 Employee training and development 11 0.923
3 Adequate and fair compensation 7 0.904
4 Employee welfare benefits 5 0.863
5 Performance Management 7 0.931
Average/mean 42 0.9114
Table 4.5 presents alpha coefficients for the five components of employee competence provided
for the study. A total of 26 items were presented to respondents in a pilot study and 21 of the
items were responded to and contributed to the overall reliability of the components of employee
competence. The overall cronbach alpha reliability coefficient of 0.789 was recorded, indicating a
fairly strong internal consistency among the 21 sub variables of employee competence.
Tests of Reliability of the components of employee competence adopted for the study are
summarized in table 4.5 giving the alpha coefficient of educational level with five items as 0.741,
technical skills with four items as 0.775, general skills with four items as 0.882, training level
with four items as 0.783 and experience with seven items as 0.764. The overall average/mean of
the components of employee competence was recorded as 0.789 which was a fairly high alpha
coefficient implying a high internal consistency.
Reliability analysis for components of employee competence
Serial No. Employee Competence Measures Items Cronbach Alpha ( α )
1 Educational level 5 0.741
Skills level
2 Technical skills 4 0.775
3 General skills 4 0.882
4 Training level 4 0.783
5 Experience 4 0.764
Average/mean 21 0.789
Table 4.6 presents alpha coefficients of the two components of employee performance provided
for the study. Task performance and contextual performance. A total of 21 items were presented
to respondents in a pilot study and 16 of the items were responded to and contributed to the
overall reliability of the components of employee performance. The overall cronbach alpha
reliability coefficient of 0.8845 was obtained, indicating a very strong internal consistency among
the 16 sub variables of employee performance. Task performance recorded a cronbach alpha
reliability coefficient of 0.876 and contextual performance 0.893.
Reliability analysis for Components of employee performance
Serial No. Employee performance Measures Items Cronbach Alpha ( α )
1 Task performance 7 0.876
2 Contextual performance 9 0.893
3 Average/mean 16 0.8845
Test of Validity
Validity is the degree to which the researcher tries to measure efficiency of the research
instrument (McDaniel & Gates, 2010). Content Validity of the research instrument was carried
out through a pilot study to ensure that the questionnaire is effective in collecting the relevant
information. This was done by administering the research instrument to State Corporations’
employees, from each of the 5 categories. Such questionnaire pre-testing helps to identify
problems with the data collection instruments and find possible solutions. Before piloting, the
instrument was discussed with the supervisors. This helps check if questions are clear, well
structured, have a logical sequence, meaning, easy to understand and identifies any potential
misunderstanding amongst respondents to avoid ambiguity and ensure clarification of technical
concepts. During piloting, the respondents also helped to evaluate the clarity of the instrument and
to make the content more comprehensive. The instrument was modified based on the input of
respondents. To establish if the instrument could measure what it is supposed to measure through
opinions given by a panel of experts, face validity was administered (McDaniel & Gates, 2010).
Two selected persons knowledgeable in research to ascertain the items’ suitability in obtaining
information according to research objectives were given draft questionnaires. This aimed at
checking the questionnaire structure, sequence, meaning and ambiguity. The final modified
version was used to collect data.
Demographic Characteristics of the Respondents
This section identified the demographic characteristics of the study respondents including age,
gender composition of the respondents, employment position and number of years served in the
organization, number of years in the current position and nature of employment. Demographic
characteristics are known to influence the study variables. Hence the demographic characteristics
of employees in this study influenced job satisfaction, competence, task and contextual
performance. Vroon (1964) posits that employee performance is a function of competence in
terms of individual abilities and characteristics. Additionally, Toker (2011) in his study found that
age and the length of service were significantly related to job satisfaction which influenced
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