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Job Stress among Software Professionals in Pakistan: A Factor Analytic Study - page 9 / 16

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Table 2: Correlation Matrix of Factors

1

2

3

4

5

6

7

8

9

10

1

1.000

.474

.401

.354

.315

.268

.349

.213

.185

.349

2

.474

1.000

.501

.472

.569

.409

.346

.358

.309

.348

3

.401

.501

1.000

.547

.616

.307

.489

.197

.450

.434

4

.354

.472

.547

1.000

.586

.433

.358

.420

.624

.344

5

.315

.569

.616

.586

1.000

.438

.559

.308

.535

.572

6

.268

.409

.307

.433

.438

1.000

.425

.356

.291

.365

7

.349

.346

.489

.358

.559

.425

1.000

.319

.359

.488

8

.213

.358

.197

.420

.308

.356

.319

1.000

.335

.315

9

.185

.309

.450

.624

.535

.291

.359

.335

1.000

.442

10

.349

.348

.434

.344

.572

.365

.488

.315

.442

1.000

4.5Analysis of Variance

Analysis of variance is applied on subscales to check whether all subscales have the same impact of stress or not. The analysis suggests that each factor does not contribute equally in the overall stress. Individual analysis of the factors also reveals that ‘fear of obsolescence’ and ‘team interaction’ are the most important contributors towards job stress in software houses.

Table 3: Analysis of Variance (ANOVA)

Source of Variation

SS

df

MS

F

F crit

Between groups

458.0577

9

50.8953

27.2369

1.8845

Within groups

3811.979

2040

1.8686

Total

4270.036

2049

4.6Demographic Analysis of Factors

4.6.1 Analysis by Gender

Journal of Independent Studies and Research (MSSE)                                                       

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