Abstract
This chapter addresses several topics related to fitting ordinary least squares (OLS) multiple regression models. These were as follows: How to include nominal independent variables with three or more categories into a model, how to estimate nonlinear relationships, how and why to transform variables, how to test for interactions between two independent variables, and how to assess for multicollinearity.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
We recognize that gender is not strictly binary, with some individuals being intersex at birth, and that gender includes male and female as well as nonbinary, transgender, and other identities. However, it is still common in the social sciences to treat this as a binary construct.
- 2.
These data are available through the National Archive of Criminal Justice Data and can be accessed at https://www.icpsr.umich.edu/NACJD.
References
Agnew, R. (1992). Foundation for a general strain theory of crime and delinquency. Criminology, 30(1), 47–88.
Black, D. J. (1976). The behavior or law. New York: Academic Press.
Bulmer, M. G. (1979). Principles of statistics. New York: Dover.
Gelman, A., & Hill, J. (2016). Data analysis using regression and multilevel/hierarchical models. Cambridge: Cambridge University Press.
Steffensmeier, D., Kramer, J., & Ulmer, J. (1995). Age differences in sentencing. Justice Quarterly, 12(3), 583–602.
Tonry, M. H. (1997). Sentencing matters. Oxford: Oxford University Press.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Weisburd, D., Wilson, D.B., Wooditch, A., Britt, C. (2022). Multiple Regression: Additional Topics. In: Advanced Statistics in Criminology and Criminal Justice. Springer, Cham. https://doi.org/10.1007/978-3-030-67738-1_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-67738-1_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-67737-4
Online ISBN: 978-3-030-67738-1
eBook Packages: Law and CriminologyLaw and Criminology (R0)