From one model to many stories : using stratified multilevel modeling to address racial inequities in criminal labeling / Samantha Kopf, Autumn Rydarowicz.

Format:

Book

Author/Creator:

Kopf, Samantha, author.

Rydarowicz, Autumn, author.

Language:

English

Subjects (All):

Crime and race.

Discrimination in employment.

Physical Description:

1 online resource

Place of Publication:

London : SAGE Publications Ltd, 2026.

Summary:

This Case Study is based on an analysis of 19 waves of the 1997 National Longitudinal Survey of Youth (NLSY97) data to examine how the timing and frequency of arrest shape long-term employment outcomes, with a focus on racial and ethnic disparities. The original published research, written by us, used race-stratified multilevel models to estimate arrest effects separately for Black, Hispanic, and White individuals—an approach that allowed for clearer identification of group-specific patterns that might be hidden in aggregate models. This Case Study centers on the methodologic challenges of conducting inclusive quantitative research on criminal justice topics, particularly in relation to sample construction, model stratification, and the risks of overgeneralizing from pooled estimates. We detail decisions around limiting the analytic sample, disaggregating models by race/ethnicity, and choosing analytic strategies that prioritize clarity, equity, and interpretability. This case will be useful for students and researchers designing quantitative studies that seek to better reflect the realities of structurally marginalized populations. Readers will learn how stratified modeling can uncover masked disparities, how to justify analytic boundaries in large datasets, and how to align methodologic choices with inclusive and equity-focused research goals.

Notes:

Description based on XML content.

ISBN:

9781036244729

OCLC:

1594889024

Publisher Number:

T301296