Using Longitudinal Self-Report Data to Study the Age-Crime Relationship

Given the growing reliance on longitudinal self-report data for making causal inferences about crime, it is essential to investigate whether the within-individual change in criminal involvement exists and is not a measurement artifact driven by attrition or survey fatigue—a very real possibility fir...

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Detalles Bibliográficos
Autor principal: Kim, Jaeok (Autor)
Otros Autores: Bushway, Shawn
Tipo de documento: Electrónico Artículo
Lenguaje:Inglés
Publicado: 2018
En: Journal of quantitative criminology
Año: 2018, Volumen: 34, Número: 2, Páginas: 367-396
Acceso en línea: Volltext (Resolving-System)
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Palabras clave:
Cohort effect
Growth curve model
Longitudinal self-report
NLSY97
Panel survey
Descripción
Sumario:Given the growing reliance on longitudinal self-report data for making causal inferences about crime, it is essential to investigate whether the within-individual change in criminal involvement exists and is not a measurement artifact driven by attrition or survey fatigue—a very real possibility first identified by Lauritsen (Soc Forces 77(1):127-154, 1998) using the National Youth Survey (NYS). The current study examines whether the same threats to the validity of within-individual change in criminal involvement exist in the National Longitudinal Survey of Youth 1997 cohort (NLSY97).
ISSN:1573-7799
DOI:10.1007/s10940-017-9338-9