International Social Work

Inferential statistics

Correlation analysis

Correlations
post wage wageopinion motivation_opinion
post Pearson Correlation 1 -.184 .094 -.343
Sig. (2-tailed) .331 .622 .063
N 30 30 30 30
wage Pearson Correlation -.184 1 .331 .153
Sig. (2-tailed) .331 .074 .419
N 30 30 30 30
wageopinion Pearson Correlation .094 .331 1 -.017
Sig. (2-tailed) .622 .074 .929
N 30 30 30 30
motivation_opinion Pearson Correlation -.343 .153 -.017 1
Sig. (2-tailed) .063 .419 .929
N 30 30 30 30

Position held by the one was found to be negatively correlated motivation opinion and wage satisfaction. Position was positively correlated with wage opinion.

Wage satisfaction was found to be positively correlated with wage and motivation opinions.

Wage opinion was negatively correlated with motivation opinion.

However, correlation analysis shows that the test is not statistically significant for analyzing the data.

Regression analysis

Predicting wage opinion using position held by a woman construction worker and wage satisfaction of the worker.

Linear regression was performed to assess the impact of position and wage satisfaction on the opinion on whether women construction workers were paid poorly compared to male construction workers.

Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients t Sig.
B Std. Error Beta
1 (Constant) .686 1.172 .586 .563
post .275 .313 .160 .878 .388
wage 1.028 .520 .360 1.977 .058
a. Dependent Variable: wageopinion

The regression model shall be given by;

This implies that an increase by 1 unit in position leads to wage opinion increase by 0.275 units and an increase by 1 unit in wage satisfaction results to an increase by 1.028 units of wage opinion.

Also, linear regression was performed to assess the impact of position and wage satisfaction on the opinion on whether women construction workers were motivated poorly compared to male construction workers.

Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients t Sig.
B Std. Error Beta
1 (Constant) 2.613 .823 3.176 .004
post .392 .220 -.326 -1.783 .086
wage .186 .365 .093 .508 .615
a. Dependent Variable: motivation_opinion

The regression model shall be given by;

This implies that an increase by 1 unit in wage satisfaction leads to motivation opinion increase by 0.186 units and an increase by 1 unit in wage satisfaction results to an increase by 0.392 units of wage opinion.

Discussion