Table 5: One-Way Anova Analysis.
Factor Occupation
ER Software
Eng
S.Soft.
Eng
Network
Eng
Project
Lead
4.23
(0.84)
4.24
(0.78)
4.78
(0.63)
4.54
(0.67)
F value P Value
0.798 0.544
2.1 Objectives
• To ascertain the influence of demographic
variables on Employee Retention (ER) within
the IT sector
• H1There is a significant differences among
Demographic Profile with regard to ER.
• H2There is a correlation among the various
factors of ER
2.2 Data Analysis
This study employed empirical research and utilized
structured questionnaires to gather data from a
random sample of 145 employees within the Indian
IT sector. The research was dedicated to uncovering
how demographic factors affect employee retention
in the IT industry
Reliability and Validity Test
Hypothesis 1:
Based on the findings in Table No. 2, where the
p-value exceeds 0.05, thus there is no statistical
difference between them with relation to ER. Table
No. 3, p-value falls exceeds 0.05, stating no
difference of ER with related to age groups. Analysis
of Table No. 4 reveals a p-value of 0.022. At a 5%
significance level, we reject the null hypothesis and
state qualification has an impact on ER
Upon examination of Table No. 5, it is evident
that the p-value is 0.537. At a 5% significance level,
we accept the null hypothesis concerning occupation.
Hypothesis 2:
The above Table 6 states correlation coefficient
between the independent variables and the dependent
variable ER is 0.688. This coefficient suggests a
positive relationship of 0.46 or 46% between the
independent variables (JS, WE, T&D, EC) and the
dependent variable ER.
Table No. 6: Correlation Coefficient
Independent
Factor
Dependent Factor
(Retention)
1.00 0.688
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