Abstract
Dunton and Beaulieu hold a positivist ideology. In their chapter, they explain a common positivist technique: correlation. They go on to discuss regression and a specialty technique: logistic regression. Correlation and regression are generally deductive within-group unit of analysis strategies, since factors of interest are measured as predictors of the dependent variable. The factors and dependent variable of interest in the unit of analysis are established through a scholarly literature review. As with all true positivistic ideologies, hypotheses are developed to test the unit of analysis. A unique aspect of their example was the ex post facto use of logistic regression on existing data. Using correlation and regression is not considered mixed methods or multi-methods because researchers with a positivist ideology generally use correlation first to show evidence of the hypothesized relations between factors or between factors and the dependent variable, otherwise it may not be feasible to continue the analysis. Logistic regression has specific assumptions that must be met in order to be applied, and they discuss this.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Brown, R. D., Clarke, B., Gortmaker, V., & Robinson-Keilig, R. (2004). Assessing the campus climate for gay, lesbian, bisexual and transgender (GLBT) students using a multiple perspectives approach. Journal of College Student Development, 45(1), 8–26.
Coston, C. T. M. (2004). Worries about crime among foreign students studying in the United States: A comparative study. In C. T. M. Coston (Ed.), Victimizing vunerable groups (pp. 173–193). Westport, CT: Praeger.
Duncan, D. F. (1990). Prevalence of sexual assault victimization among heterosexual and gay/lesbian university students. Psychological Reports, 66(1), 65–66.
Fasting, K., Brackenridge, C. H., & Sungot-Borgen, J. (2003). Experiences of sexual harassment and abuse amongst Norwegian elite female atheletes and non-athletes. Research Quarterly for Exercise and Sport, 74(1), 84–97.
Gill, J., Johnson, P., & Clark, M. (2010). Research methods for managers (4th ed.). London: Sage.
Haase, R. F. (2011). Multivariate general linear models. Thousand Oaks, CA: Sage.
Healey, J. F. (2015). Statistics: A tool for social research (10th ed.). Stamford, CT: Cengage Learning.
Kutner, M. H., Nachtsheim, C. J., & Neter, J. (2004). Applied linear regression models (4th ed.). New York: McGraw-Hill Irwin.
Lehrer, J. A., Lehrer, V. L., Lehrer, E. L., & Oyarzun, P. B. (2007). Prevalence of and risk factors for sexual victimization in college women in Chile. International Family Planning, 33, 168–175.
Lewis-Beck, M. S. (1995). Data analysis: An introduction. Thousand Oaks, CA: Sage.
Long, J. S. (1997). Regression models for categorical and limited dependent variables. Thousand Oaks, CA: Sage.
Makepeace, J. M. (1987). Social factors and victim offender differences in courtship violence. Family Relations, 36(1), 87–91.
Monks, S. M., Tomaka, J., Palacios, R., & Thompson, S. E. (2010). Sexual victimization in female and male college students: Examining the roles of alcohol use, alcohol expectancies, and sexual sensation seeking. Substance Use & Misuse, 45(13), 2258–2280.
O’Connell, A. A. (2006). Logistic regression models for ordinal response variables. Thousand Oaks, CA: Sage.
Strang, K. D. (2012). Logistic planning with nonlinear goal programming models in spreadsheets. International Journal of Applied Logistics, 2(4), 1–14.
Tomsich, E. A., Cover, A. R., & Jennings, W. G. (2011). Examining the role of gender in the prevalence of campus victimization, perceptions of fear and crime, and the use of constrained behaviors among college students attending a large urban university. Journal of Criminal Justice Education, 22(2), 181–202.
Editor information
Editors and Affiliations
Copyright information
© 2015 Kenneth D. Strang
About this chapter
Cite this chapter
Dunton, C.A., Beaulieu, M. (2015). Correlation to Logistic Regression Illustrated with a Victimization-Sexual Orientation Study. In: Strang, K.D. (eds) The Palgrave Handbook of Research Design in Business and Management. Palgrave Macmillan, New York. https://doi.org/10.1057/9781137484956_12
Download citation
DOI: https://doi.org/10.1057/9781137484956_12
Publisher Name: Palgrave Macmillan, New York
Print ISBN: 978-1-349-47906-1
Online ISBN: 978-1-137-48495-6
eBook Packages: Palgrave Business & Management CollectionBusiness and Management (R0)