Expanding Statistical and Methodological Approaches in DLC Work

Session Submission Type: Complete Thematic Panel

Abstract/Description

The purpose of this panel is to highlight the varied methods of longitudinal data analysis useful in DLC research. The panel highlights one paper that relies on one of the field’s more traditional approaches- group-based trajectory modeling – showing how group-based trajectory modeling continues to be of use in DLC work. The panel also includes four papers using different methodologies, each with relevance to longitudinal work- biosocial methodologies, structural equation modeling, an extension of hazard modeling, and an extension of social network analysis. Combined, these methods demonstrate how a wide range of analytic strategies can help to inform research within the life-course framework as well as the potential in expanding approaches used to address life-course questions.

Sub Unit

• Area II. Perspectives on Crime / 2. Developmental and Life Course Perspectives

Individual Presentations

• Trajectories of Misconduct Seriousness Among those with Long-Term Prison Sentences - Zachary Buckner, University of Central Florida

• Sex Differences in Deviant Peer Association: Examining Mediation Effects of Dual Systems Imbalance - Thomas Wojciechowski, Michigan State University

• Adverse Childhood Experiences: Navigating the Challenges of Statistical Bias & Causal Inference - Brian Boutwell, University of Mississippi

• Hazard of Suspension Among Girls: A Comparison by Race, Age, and Teacher-Reported Behaviors - Abigail Novak, University of Mississippi

• Life Course Persistent Instigators? A Simulation and Evaluation of how Fugitive Arrest and Incapacitation Impacts the Rate of Co-Offending Hyperevents - Thomas Brian Smith, University of Mississippi; Kenneth Lomenzo, University of Mississippi; Brian Boutwell, University of Mississippi

Organized by a Division or external group?

Division of Developmental and Life-course Criminology (DLC)