Measuring recurrent victimization: evaluating operationalization strategies and predictors using the crime survey for England and Wales

Tura, F, Buil-Gil, D and Adeniyi, O ORCID: https://orcid.org/0000-0002-9888-0063, 2025. Measuring recurrent victimization: evaluating operationalization strategies and predictors using the crime survey for England and Wales. Evidence Base. ISSN 3067-9125 (Forthcoming)

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Abstract

Victimization is concentrated among a small group of individuals, commonly referred to as recurrent victims. However, there is no consensus on the operationalization of recurrent victimization. This study investigates optimal measurement strategies and identifies predictors of recurrent victimization through a meta-analytic synthesis of multiple analytic approaches estimated on the 2019/20 Crime Survey for England and Wales. The results suggest that defining recurrent victimization using a Top 10% binary categorization and estimating logistic regression models can lead to biased conclusions. In contrast, operationalizations based on experiencing two or more victimization types or incidents performed substantially better when paired with bivariate probit models. Count-based operationalizations, particularly total victimization counts across crime types, also performed well when analysed using negative binomial or zero-inflated negative binomial models. Taken together, the findings indicate that researchers wishing to categorise recurrent victims should employ theoretically informed category- or incident-based measures analysed with bivariate probit models, whereas those seeking to identify individuals who experience higher volumes of victimization should use count-based measures estimated with negative binomial frameworks. Across all approaches, mental health conditions consistently emerged as the strongest correlate of recurrent victimization.

Item Type:	Journal article
Publication Title:	Evidence Base
Creators:	Tura, F., Buil-Gil, D. and Adeniyi, O.
Publisher:	Taylor & Francis
Date:	12 December 2025
ISSN:	3067-9125
Identifiers:	Number Type 2548936 Other
Divisions:	Schools > Nottingham Business School
Record created by:	Melissa Cornwell
Date Added:	06 Jan 2026 15:50
Last Modified:	06 Jan 2026 15:50
URI:	https://irep.ntu.ac.uk/id/eprint/54932

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