First Advisor

Mark Leymon

Term of Graduation

Spring 2024

Date of Publication

6-18-2024

Document Type

Thesis

Degree Name

Master of Science (M.S.) in Criminology and Criminal Justice

Department

Criminology and Criminal Justice

Language

English

Subjects

Interaction Terms, Model Comparison, Panel Models, Sentencing Reforms, State Level Reforms

Physical Description

1 online resource (iv, 89 pages)

Abstract

This exploratory study seeks to uncover the most effective approaches for constructing interaction terms within panel models. With no preconceived hypothesis in mind, the primary aim is to discern which modeling configuration yields the most robust results, laying the foundation for future research in statistical modeling. Using a large data set of sentencing reforms passed between the mid-1970s and mid-2000s, this study systematically assesses interaction terms and determines the most appropriate modeling. Different specifications of sentencing reforms at the state level within different modeling specifications will be explored to highlight which models are most appropriate in predicting imprisonment rates. By systematically examining a wide range of interaction terms and models, this research offers valuable insights into the methodology of statistical panel modeling, contributing to the advancement of statistical analysis in this field.

Rights

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

Persistent Identifier

https://archives.pdx.edu/ds/psu/42358

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