gender differential paper IJCRB

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INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS
Table: 1
Reliability Statistics
Sr No Variable Name Cronbach Alpha
1 Achievement 0.69
2 Growth 0.61
3 Recognition 0.71
4 Responsibility 0.72
5 Work itself 0.79
6 Supervision 0.77
7 Salary 0.68
8 Policy 0.77
9 Relationship 0.78
10 Working conditions 0.67
11 Profitability 0.74
12 ROI 0.64
JUNE 2011
VOL 3, NO 2
Factor Analysis
The purpose of using factor analysis is to investigate the large number of relationships
among inter-level variables. For factor loading principle component analysis method was
used. Less than 0.40 of items values were omitted and did not use for further analysis
(Leech, et al., 2005). Table-2 below shows the retained items that met the cut off values i.e.
> .40
Table: 2
Component matrix
Variable item Ach Gro Rec Res Wi Sup Sal Pol Rel Wc Roa Prof
1 0.74 0.6 0.79 0.70 0.76 0.73 0.49 0.84 0.70 0.41 0.44 0.72
2 0.34 0.67 0.69 0.29 0.82 0.73 0.42 0.60 0.50 0.54 0.51 0.67
3 0.73 0.71 0.74 0.70 0.84 0.71 0.41 0.43 0.60 0.66 0.70 0.52
4 0.68 0.74 0.78 0.70 0.32 0.79 0.45 0.41 0.70 0.42 0.41 0.49
5 0.53 0.49 0.67 0.68 0.56 0.61 0.43 0.49 0.73 0.47 0.53 0.36
KMO stands for Kaiser-Meyer-Olkin Measure of Sampling Adequacy (small value of
KMO indicates factor analysis is inappropriate and). KMO indicates sufficient items for
each factor. All the values are found greater than 0.5 (SPSS user’s guide). If the value of
Bartlett Test of Sphericity (to test the null hypothesis that the correlation matrix is an
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