Examining the (Ir)relevance of Aggregation Bias for Multilevel Studies of Neighborhoods and Crime With an Example Comparing Census Tracts to Official Neighborhoods in Cincinnati
Bibliographic Data
| ID | 9681014 |
|---|---|
| Authors | John Wooldredge (0000-0002-1323-5496, University of Cincinnati, corresponding author) |
| Year | 2002 |
| Volume | 40 |
| Issue | 3 |
| Pages | 681-710 |
| Publication date | 2002-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Criminology (JOURNAL) |
| Journal identifiers | ISSN: 0011-1384 • E-ISSN: 1745-9125 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1745-9125.2002.tb00970.x |
| OpenAlex | W2045846967 |
| Language | EN |
| Citations received | 34 |
| References cited | 31 |
Different operational definitions of neighborhood boundaries could generate differences in empirical relationships between ecological dynamics and crime. As a call for research on whether aggregation bias is an issue for related studies, this note compares bi‐level models predicting re‐arrest for domestic violence with census tracts versus officially defined city neighborhoods as macro units. Results indicate that both types of units generate the same substantive findings at the aggregate and individual levels of analysis. Similarities also exist between these results and those from previous multilevel studies of crime and victimization despite differences in the aggregate units across studies (including block groups)
Aggregate (composite · Aggregate data · Census · Criminology · Data aggregator · Econometrics · Economics · Geography · Macro · Multilevel model · Multilevel modelling · Political science · Property crime · Relevance (law · Sociology · Statistics · Violent crime · Computer Science · Crime Patterns and Interventions · Demography · Homelessness and Social Issues · Law · Mathematics · Urban, Neighborhood, and Segregation Studies
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| Unique citing works | 34 |
|---|---|
| Citations per year | 1,55 |
| Citation span | 2004 - 2025 (22) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 34 |