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.
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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)
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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
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DOI: https://doi.org/10.1007/978-1-4614-9170-5_17
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