Why Is Cronbach's Statistics Important?

Reliability Statistics:
Table 4.1: Reliability Statistics for Quality of Work life:
Cronbach's Alpha N of Items
.650 18

Table 4.2: Reliability Statistics for Loyalty of employees:
Cronbach's Alpha N of Items
.442 4

Cronbach’s alpha is a measure of internal consistency, that is, how closely related a set of items are as a group. It is considered to be a measure of scale reliability. The alpha coefficient for quality of work life is .650. The alpha coefficient for loyalty is. 442. The scale is not reliable because the questions were given by the company and so the study had to be carried out with the same questions.
Table 4.3: Quality of Work life
Descriptive Statistics N Minimum Maximum Mean Std. Deviation
Personal satisfaction

H0= there is no significant difference on quality of work life based on tenure
2. H1= there is significant difference on quality of work life based on tenure

ANOVA mean quality Sum of Squares df Mean Square F Sig.
Between Groups .260 3 .087 1.018 .388
Within Groups 8.160 96 .085
Total 8.420 99

The one-way Anova test administered for work life quality (independent variable) and tenure (demographic variable) shows a significance level of 0.388. Since this value is greater than 0.05, there is no significant relationship between work life quality and tenure.
Therefore, the null hypothesis is accepted.
Age and Employee loyalty
Hypothesis:
3. H0= there is no significant difference on loyalty based on age
4. H1= there is significant difference on loyalty based on age

Table 4.15:
ANOVA
mean of loyalty Sum of Squares df Mean Square F Sig.
Between Groups 2.372 3 .791 3.565 .017
Within Groups 21.299 96 .222
Total 23.671 99

Employee loyalty is the dependent variable of this study and age is a demographic variable. The one way Anova test results show a significance level of 0.017 thereby indicating no significant relationship between employee engagement and age