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Review of Gana & Broc’s Structural Equation Modeling with Lavaan

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Gana Kamel & Broc Guillome (2018). Structural Equation Modeling with lavaan. Wiley, 304 pages. $116.99. ISBN: 978-1-786-30369-1

Published online by Cambridge University Press:  01 January 2025

Terrence D. Jorgensen Open the ORCID record for Terrence D. Jorgensen [Opens in a new window]  and
Suzanne Jak
Terrence D. Jorgensen*
Affiliation:
University of Amsterdam
Suzanne Jak
Affiliation:
University of Amsterdam
*
Correspondence should be made to Terrence D. Jorgensen, Department of Child Development and Education, University of Amsterdam, Postbus 15776, 1001NGAmsterdam, the Netherlands. Email: T.D.Jorgensen@uva.nl
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Type
Book Review
Information
Psychometrika , Volume 85 , Issue 2 , June 2020 , pp. 373 - 377
Copyright
Copyright © 2020 The Psychometric Society

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References

Beaujean, A. A. (2014). Latent variable modeling using R: A step-by-step guide. Abingdon: Routledge. CrossRefGoogle Scholar
Finch, W. H., & French, B. F. (2015). Latent variable modeling with R. Abingdon: Routledge. CrossRefGoogle Scholar
Helm, J. L. (2016). Review of latent variable modeling using R, by A. Alexander Beaujean. Structural Equation Modeling, 23 (6), 931– 932. CrossRefGoogle Scholar
Koch, T., & Schultze, M. (2016). A review of latent variable modeling using R-A step-by-step-guide. Journal of Educational and Behavioral Statistics, 41 349– 354. 10.3102/1076998615622185 CrossRefGoogle Scholar
Little, T. D., Rhemtulla, M., Gibson, K., & Schoemann, A. M. (2013). Why the items versus parcels controversy needn’t be one. Psychological Methods, 18 (3), 285– 300. CrossRefGoogle ScholarPubMed
Oberski, D. L. (2016). A review of latent variable modeling With R. Journal of Educational and Behavioral Statistics, 41 226– 233. CrossRefGoogle Scholar
Rhemtulla, M., Brosseau-Liard, P. É., & Savalei, V. (2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17 (3), 354– 373. CrossRefGoogle ScholarPubMed
Rigdon, E. E. (1994). SEMNET: Structural equation modeling discussion network. Structural Equation Modeling, 1 (2), 190– 192. CrossRefGoogle Scholar
Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48 (2), 1– 36. CrossRefGoogle Scholar
Sterba, S. K., & Rights, J. D. (2016). Accounting for parcel-allocation variability in practice: Combining sources of uncertainty and choosing the number of allocations. Multivariate Behavioral Research, 51 (2–3), 296– 313. CrossRefGoogle ScholarPubMed