Cited by 235Bullying, Victimization, and AggressionPsychometric Methodologies and TestingWorkplace Violence and Bullying

Construct validity of the multidimensional structure of bullying and victimization: An application of exploratory structural equation modeling.

Marsh, Herbert W., Nagengast, Benjamin, Morin, Alexandre J. S., Parada, Roberto H., Craven, Rhonda G., Hamilton, Linda R.·2011·Journal of Educational Psychology

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.

Integrity signals

Registry

Crossref · 10.1037/a0024122

Cites

94 of 94 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

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 › Sociology and Political Science › 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

About these checks

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 ›

Are you an author, or do you see a problem with this page? Request a review