Section 7.4 Conclusion
We have covered two types of t-tests: the independent-samples t-test for comparing the means of two unrelated groups and the paired-samples t-test for comparing the means of two related groups. In the next chapter, we will delve into analysis of variance (ANOVA), which becomes handy when comparing mean scores across more than two groups. Additionally, you will learn about post hoc tests in ANOVA, which help identify statistically significant differences among multiple means.
Subsection 7.4.1 References
Choi, J. (2020). Asymmetry in media effects on perceptions of police: An analysis using a within-subjects design experiment. Police Practice and Research, 1–17. https://doi.org/10.1080/15614263.2020.1749624
Choi, J., Yim, H., & Lee, D. R. (2020). An examination of the shadow of sexual assault hypothesis among men and women in South Korea. International Criminal Justice Review, 30(4), 386–405.
Farrington, D. P., & McGee, T. R. (2017). The integrated cognitive antisocial potential (ICAP) theory: Empirical testing. In A. A. J. Blokland & V. R. Van Der Geest (Eds.), Routledge international handbook of life-course criminology (pp. 11–28). Routledge.
Landenberger, N. A., & Lipsey, M. W. (2005). The positive effects of cognitive-behavioral programs for offenders: A meta-analysis of factors associated with effective treatment. Journal of Experimental Criminology, 1(4), 451–476.
Lipsey, M. W., Landenberger, N. A., & Wilson, S. J. (2007). Effects of cognitive-behavioral programs for criminal offenders. Campbell Systematic Reviews, 6(1), 1–27.
Vaske, J., Galyean, K., & Cullen, F. T. (2011). Toward a biosocial theory of offender rehabilitation: Why does cognitive-behavioral therapy work? Journal of Criminal Justice, 39(1), 90–102.
Zara, G. (2019). Cognitive-behavioral treatment to prevent offending and to rehabilitate offenders. In D. P. Farrington, L. Kazemian, & A. R. Piquero (Eds.), The Oxford handbook of developmental and life-course criminology (pp. 694–725). Oxford University Press.
