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      An Examination of Differences in Detected Versus Undetected Child-to-Parent Violence in Spanish Justice and Community Youth Samples

      , , 1
      Criminal Justice and Behavior
      SAGE Publications

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          Abstract

          The number of crimes related to child-to-parent violence (CPV) has increased in recent years. Most cases are undetected. This is the first study to compare CPV-justice involved youth (CPV-JI/detected CPV) and CPV non-justice involved youth (CPV non-JI/undetected CPV), with the aim of examining differences in risk factors and pattern of violence. The sample included 306 Spanish youth (229 males, 77 females) aged 14 to 19 years: 83 CPV-JI, 105 CPV non-JI, and 115 non-CPV. The results show a worse individual, family, and social profile in CPV-JI youth compared with CPV non-JI youth, and in the latter compared with non-CPV youth. Undetected aggressors were more similar to detected aggressors than to non-aggressors. In addition, CPV-JI youth had higher scores in CPV-Q than CPV non-JI youth. The CPV-Q score that best classified detected versus undetected aggressors is 16 to 17 points, proving to be a useful instrument in classifying different types of CPV aggressors.

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          Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

          G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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            mice: Multivariate Imputation by Chained Equations inR

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              Is Open Access

              COSMIN guideline for systematic reviews of patient-reported outcome measures

              Purpose Systematic reviews of patient-reported outcome measures (PROMs) differ from reviews of interventions and diagnostic test accuracy studies and are complex. In fact, conducting a review of one or more PROMs comprises of multiple reviews (i.e., one review for each measurement property of each PROM). In the absence of guidance specifically designed for reviews on measurement properties, our aim was to develop a guideline for conducting systematic reviews of PROMs. Methods Based on literature reviews and expert opinions, and in concordance with existing guidelines, the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) steering committee developed a guideline for systematic reviews of PROMs. Results A consecutive ten-step procedure for conducting a systematic review of PROMs is proposed. Steps 1–4 concern preparing and performing the literature search, and selecting relevant studies. Steps 5–8 concern the evaluation of the quality of the eligible studies, the measurement properties, and the interpretability and feasibility aspects. Steps 9 and 10 concern formulating recommendations and reporting the systematic review. Conclusions The COSMIN guideline for systematic reviews of PROMs includes methodology to combine the methodological quality of studies on measurement properties with the quality of the PROM itself (i.e., its measurement properties). This enables reviewers to draw transparent conclusions and making evidence-based recommendations on the quality of PROMs, and supports the evidence-based selection of PROMs for use in research and in clinical practice.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Criminal Justice and Behavior
                Criminal Justice and Behavior
                SAGE Publications
                0093-8548
                1552-3594
                June 2024
                March 08 2024
                June 2024
                : 51
                : 6
                : 896-918
                Affiliations
                [1 ]University of Jaén
                Article
                10.1177/00938548241233967
                096f77f0-6042-4752-9516-e35113c5d30e
                © 2024

                https://journals.sagepub.com/page/policies/text-and-data-mining-license

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