SPSS Statistics: Data Analysis Many Essay

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Overall, it appears that the relationships between these variables are somewhat similar between men and women, although there are slight differences, most keenly pointed out in the ANOVA results.

Correlations

Respondent's Sex

Age of Respondent

Highest Year of School Completed

Total Family Income

Job Satisfaction

Male

Age of Respondent

Pearson Correlation

1

-.240**

-.065

-.125**

Sig. (2-tailed)

.000

.103

.005

N

Highest Year of School Completed

Pearson Correlation

-.240**

1

.419**

-.042

Sig. (2-tailed)

.000

.000

.350

N

Total Family Income

Pearson Correlation

-.065

.419**

1

-.114*

Sig. (2-tailed)

.103

.000

.012

N

Job Satisfaction

Pearson Correlation

-.125**

-.042

-.114*

1

Sig. (2-tailed)

.005

.350

.012

N

Female

Age of Respondent

Pearson Correlation

1

-.275**

-.115**

-.123**

Sig. (2-tailed)

.000

.001

.002

N Highest Year of School Completed

Pearson Correlation

-.275**

1

.459**

-.

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093*

Sig. (2-tailed)

.000

.000

.018

N

Total Family Income

Pearson Correlation

-.115**

.459**

1

-.196**

Sig. (2-tailed)

.001

.000

.000

N

Job Satisfaction

Pearson Correlation

-.123**

-.093*

-.196**

1

Sig. (2-tailed)

.002

.018

.000

N

**. Correlation is significant at the 0.01 level (2-tailed).

*. Correlation is significant at the 0.05 level (2-tailed).

Correlations

Age of Respondent

Highest Year of School Completed

Total Family Income

Job Satisfaction

Age of Respondent

Pearson Correlation

1

-.259**

-.099**

-.124**

Sig. (2-tailed)

.000

.000

.000

N

Highest Year of School Completed

Pearson Correlation

-.259**

1

.437**

-.068*

Sig. (2-tailed)

.000

.000

.022

N

Total Family Income

Pearson Correlation

-.099**

.437**

1

-.160**

Sig. (2-tailed)

.000

.000

.000

N

Job Satisfaction

Pearson Correlation

-.124**

-.068*

-.160**

1.....

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https://www.aceyourpaper.com/essays/spss-statistics-data-analysis-2818
   

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