The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Multilevel structural equation models for assessing moderation within and across levels of analysis.
Abstract
Social scientists are increasingly interested in multilevel hypotheses, data, and statistical models as well as moderation or interactions among predictors. The result is a focus on hypotheses and tests of multilevel moderation within and across levels of analysis. Unfortunately, existing approaches to multilevel moderation have a variety of shortcomings, including conflated effects across levels of analysis and bias due to using observed cluster averages instead of latent variables (i.e., "random intercepts") to represent higher-level constructs. To overcome these problems and elucidate the nature of multilevel moderation effects, we introduce a multilevel structural equation modeling (MSEM) logic that clarifies the nature of the problems with existing practices and remedies them with latent variable interactions. This remedy uses random coefficients and/or latent moderated structural equations (LMS) for unbiased tests of multilevel moderation. We describe our approach and provide an example using the publicly available High School and Beyond data with Mplus syntax in Appendix. Our MSEM method eliminates problems of conflated multilevel effects and reduces bias in parameter estimates while offering a coherent framework for conceptualizing and testing multilevel moderation effects. (PsycINFO Database Record
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(2013) · Cited by 44,563
Multiple regression: testing and interpreting interactions
(1992) · Choice Reviews Online · doi:10.5860/choice.29-3352 · Cited by 36,654
(2001) · RePEc: Research Papers in Economics · Cited by 27,577
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Cohen, P., Cohen, P., West, S. G., & Aiken, L. S. (2014) · Psychology Press eBooks · doi:10.4324/9781410606266 · Cited by 20,737
Specification Tests in Econometrics
Hausman, J. A. (1978) · Econometrica · doi:10.2307/1913827 · Cited by 18,820
Hierarchical Linear Models: Applications and Data Analysis Methods.
Longford, N. T., Bryk, A. S., & Raudenbush, S. W. (1993) · Contemporary Sociology · doi:10.2307/2075823 · Cited by 18,724
Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions
Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007) · Multivariate Behavioral Research · doi:10.1080/00273170701341316 · Cited by 9,973
Self-citationMultilevel analysis : an introduction to basic and advanced multilevel modeling
Snijders, T. A. B., & Bosker, R. (1999) · Cited by 6,832
Preacher, K. J., Curran, P. J., & Bauer, D. J. (2006) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986031004437 · Cited by 5,034
Self-citationEdwards, J. R., & Lambert, L. S. (2007) · Psychological Methods · doi:10.1037/1082-989x.12.1.1 · Cited by 4,711
Cited by
A novel measure of effect size for mediation analysis
Lachowicz, M. J., Preacher, K. J., & Kelley, K. (2018) · Psychological Methods · doi:10.1037/met0000165 · Cited by 271
Self-citationCleansing my abuse: A reparative response model of perpetrating abusive supervisor behavior
Liao, Z., Yam, K. C., Johnson, R. E., Liu, W., & Song, Z. (2018) · Journal of Applied Psychology · doi:10.1037/apl0000319 · Cited by 151
The role of leisure crafting for emotional exhaustion in telework during the COVID-19 pandemic
Abdel Hadi, S., Bakker, A. B., & Häusser, J. A. (2021) · Anxiety, Stress, & Coping · doi:10.1080/10615806.2021.1903447 · Cited by 139
Donald, J. N., Atkins, P. W. B., Parker, P. D., Christie, A. M., & Ryan, R. M. (2016) · Journal of Research in Personality · doi:10.1016/j.jrp.2016.09.002 · Cited by 114
Do the Hustle! Empowerment from Side-Hustles and Its Effects on Full-Time Work Performance
Sessions, H., Nahrgang, J. D., Vaulont, M. J., Williams, R., & Bartels, A. L. (2021) · Academy of Management Journal · doi:10.5465/amj.2018.0164 · Cited by 116
Metadata
- Authors
- Preacher, K. J., Zhang, Z., & Zyphur, M. J.
- Venue
- Psychological Methods
- Published
- 2016-06
- Volume
- 21
- Issue
- 2
- Pages
- 189-205
- ISSN
- 1082-989X (ISSN-L)
- 1939-1463
- OpenAlex
- W2214468642
- Cited by
- 466
- References
- 67
- FWCI
- 17.23
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Multilevel structural equation models for assessing moderation within and across levels of analysis. https://app.cochat.ai/papers/10.1037/met0000052
- The paper
- Preacher, K. J., Zhang, Z., & Zyphur, M. J. (2016). Multilevel structural equation models for assessing moderation within and across levels of analysis. Psychological Methods. https://doi.org/10.1037/met0000052
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.