Abstract
In the previous chapter we extended the bivariate regression approach by showing how we could include multiple independent variables simultaneously in a single model. We illustrated how we incorporate variables measured not only at the interval level of measurement, but also nominal and ordinal independent variables, into a regression model. While the models we have examined so far allow us to approximate linear relationships between various independent variables and the dependent variable, in the real world we are sometimes confronted with more complex research questions that require us to make additional modifications to our model.
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
Similar content being viewed by others
Notes
- 1.
Michael H. Tonry, Sentencing Matters (New York, Oxford University Press, 1996).
- 2.
These data are available through the National Archive of Criminal Justice Data and can be accessed at http://www.icpsr.umich.edu/NACJD
- 3.
R. Agnew, 1992, Foundation for a general strain theory of crime and delinquency, Criminology, 30, 47-87.
- 4.
D. Steffensmeier, J. Kramer, and J. Ulmer, 1995, Age differences in sentencing, Justice Quarterly, 12, 583-602.
- 5.
Donald J Black, The Behavior of Law (New York; Academic Press, 1976)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media New York
About this chapter
Cite this chapter
Weisburd, D., Britt, C. (2014). Multivariate Regression: Additional Topics. In: Statistics in Criminal Justice. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-9170-5_17
Download citation
DOI: https://doi.org/10.1007/978-1-4614-9170-5_17
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4614-9169-9
Online ISBN: 978-1-4614-9170-5
eBook Packages: Humanities, Social Sciences and LawSocial Sciences (R0)