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Construct validity of the multidimensional structure of bullying and victimization: An application of exploratory structural equation modeling.
Abstract
Existing research posits multiple dimensions of bullying and victimization but has not identified well-differentiated facets of these constructs that meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors that are not so highly correlated as to detract from their discriminant validity and substantive usefulness in school settings. Here we demonstrate exploratory structural equation modeling, an integration of confirmatory factor analysis and exploratory factor analysis. On the basis of responses to the 6-factor Adolescent Peer Relations Instrument (verbal, social, physical facets of bullying and victimization), we tested invariance of factor loadings, factor variances–covariances, item uniquenesses, item intercepts (a lack of differential item functioning), and latent means across gender, year in school, and time. Using a combination of relations with student characteristics and a multitrait–multimethod analysis, we showed that the 6 bully/victim factors have discriminant validity over time and in relation to gender, year in school, and relevant psychosocial correlates (e.g., depression, 11 components of academic and nonacademic self-concept, locus of control, attitudes toward bullies and victims). However, bullies and victims are similar in many ways, and longitudinal panel models of the positive correlations between bully and victim factors suggest reciprocal effects such that each is a cause and an effect of the other.
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“The APRI is a psychometrically validated instrument that can be used to assess involvement in bullying behaviors as bullies and victims among school-aged children”
From The representation of bullying in Italian primary school children: A mixed-method study comparing drawing and interview data and their association with self-report involvement in bullying events (2022) · cites this paper as Marsh et al. 2011
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Metadata
- Authors
- Marsh, H. W., Nagengast, B., Morin, A. J. S., Parada, R. H., Craven, R. G., & Hamilton, L. R.
- Affiliations
- University of Oxford (GB)
- Université de Sherbrooke (CA)
- Western Sydney University (AU)
- Venue
- Journal of Educational Psychology
- Published
- 2011-08
- Volume
- 103
- Issue
- 3
- Pages
- 701-732
- ISSN
- 0022-0663 (ISSN-L)
- 1939-2176
- OpenAlex
- W2004582047
- Cited by
- 232
- References
- 94
- Citations by year
- 2026: 11 · 2025: 19 · 2024: 9 · 2023: 8 · 2022: 15 · 2021: 20 · 2020: 15 · 2019: 22 · 2018: 16 · 2017: 18 · 2016: 19 · 2015: 24 · 2014: 17 · 2013: 9 · 2012: 9
- FWCI
- 15.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Educational Psychology (publishedVersion)
- Research Bank (Australian Catholic University) (submittedVersion)
- ResearchOnline@ND (The University of Notre Dame) (submittedVersion)
- Funders
- Australian Research Council
- Topics
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Workplace Violence and Bullying
- Keywords
- bullying, victimization, construct validity, multidimensional measurement, measurement invariance, differential item functioning, discriminant validity, reciprocal effects, self-concept, locus of control, depression, school students
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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