Question: Please correct this question for me. A study was conducted to explore factors that affect work satisfaction for a sample of 150 Australian adult workers.

Please correct this question for me.

A study was conducted to explore factors that affect work satisfaction for a sample of 150 Australian adult workers. It was suggested that people with higher incomes will be more satisfied with work. It was also hypothesised that full-time workers will be more satisfied with their work than part-time workers. Furthermore, people who have spent more time at their current job will be more satisfied with work.

A multiple regression analysis was performed on the data with work satisfaction as the dependant variable. Four predictors were included in the model; Income, years at company, workload (part-time/full-time) and travel time to work. Table 1 shows the intercorrelations between the variables and Table 2 shows the results of the regression analysis.

Table 1

Intercorrelation Among the Variables

	Work Satisfaction	Income	Years	Workload
Income	.91^***
Years	.44^***	.42^***
Travel	-.49^***	-.48^***	-.13
Workload	.07	.09	.06	.15
Note:N = 150; ^p<.05, ^p<.01, ^**p<.001 0 = Workload coded as 0=Part-time 1= Full-time

As can be seen from Table 1, Income showed a strong positive correlation with work satisfaction, while years at company showed a moderate positive correlation with work satisfaction. Time to travel to work showed a moderate negative correlation. Australian workers who earn a higher income tend to have higher work satisfaction, additionally, Australian workers that have spent longer in their workplace also tend to have higher work satisfaction, whilst Australian workers who take less time to travel to work also have higher work satisfaction. Workload is not significant.

The four predictors together explain 83.6% of the variation in work satisfaction, and this is significant, F(4, 145)=185.27, p<.001.

Income was found to have a direct effect on work satisfaction (see Table 2). Workers that have a higher income tend to enjoy work more. Time taken to travel to work was also significant and demonstrates an indirect relationship that can be explained by income and workload. When all the predictors were considered, years at company are no longer significant. The correlation between years at company and work satisfaction is indirect and can be explained by income, Australian workers who have spent more years at their company tend to have higher incomes, and therefore higher work satisfaction. The correlation between workload and work satisfaction is not significant.

The most important predictor of work satisfaction was income. Workers that have higher incomes resulted in higher work satisfaction.

Table 2

Results of the regression for Australian adult workers, with work satisfaction as the dependant variable.

Variable	Squared Part Correlation	Partial Correlation	Standardised Regression Coefficient
Income	.442	.85	.842^***
Years	.004	.15	.069
Travel	.005	-.17	-.081^*
Workload	<.000	.02	.008
	R²=.836

Note: N = 150; ^*p<.05, ^**p<.01, ^***p<.001; Workload coded as 0=Part-time 1= Full-time

As expected, income had a direct effect on work satisfaction in Australian adult workers, with a higher income tending to show greater work satisfaction. Contrary to expectations, workload has no impact on work satisfaction. Additionally, as expected, people who have spent more time at their current job tend to be more satisfied with work, however, this relationship is indirect, and only because such workers tend to have higher incomes.

Question: Please correct this question for me. A study was conducted to explore factors that affect work satisfaction for a sample of 150 Australian adult workers.

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