Independent Samples T Test
Independent Samples T Test
A significant amount of literature has examined the connection between gender and income. Loughran and Zissimopoulos (2009) found that marriage and childbearing were negatively correlated with women’s income. Oostendorp (2009) argued that in upcoming years globalization would have a noted impact on gender income inequality, both positive and negative. With these findings in mind, the present research seeks to further investigate the connection between gender and income.
The null hypothesis (H0) was that no connection would exist between gender and income. The research hypothesis (H1) was that gender influenced a person’s income. The independent variable was gender, and the dependent variable was income level.
The independent samples t test revealed that gender was associated with income at the .000 level. As the probability for the test was 95% this result was significant. The confidence interval for the lower bound was .508 and for the upper bound it was 1.218. This demonstrates that the difference between the mean income score for men and the mean income score for women fell within this range.
Ultimately, these results indicate that the null hypothesis can be rejected. The research then shows that within the sample population, males had a statistically higher income than females.
References
Loughran, D. S., & Zissimopoulos, J. M. (2009). Why wait? The effect of marriage and
childbearing on the wages of men and women. Journal of Human Resources, 44(2), 326-
349.
Oostendorp, R. H. (2009). Globalization and the gender wage gap. The World Bank Economic
Review.
Somekh, B., & Lewin, C. (2005). Research methods in the social sciences. Sage.
