Mesures, méthodes et statistiques pour psychologues cliniciens (Option Master Empirique & TCC - 18h)
Ce document à été préparé à l'aide de différentes ressources (tutoriels en ligne, vidéos, cours, articles, ouvrages), merci à toutes celles et ceux qui partagent leurs ressources
- Tutorial EFA CFA
https://cran.r-project.org/web/packages/parameters/vignettes/efa_cfa.html
- And with nice tables
https://cran.r-project.org/web/packages/semTable/vignettes/semtable.pdf
https://shiny.rit.albany.edu/stat/cfa1test/lavaan.html#obtain-coefficients
https://rpubs.com/mkearney/103040
Of course lavaan Tutorials :
https://lavaan.ugent.be/tutorial/index.html
Confirmatory Factor Analysis with R A Draft document using lavaan, sem, and OpenMx by Bruce Dudek
https://shiny.rit.albany.edu/stat/cfa1test/index.html
Alexander Beaujean's book: Latent Variable Modeling using R: A Step-By-Step Guide (Published by Routledge/Taylor & Francis)
https://blogs.baylor.edu/rlatentvariable/sample-page/r-syntax/
Cannot recommend enough Sacha Epskamps's tutoriels & vidéo
http://sachaepskamp.com/SEM2020
https://www.youtube.com/playlist?list=PLliBbGBc5nn3m8bXQ4CmOep3UmQ_5tVlC
Also take a look at Caspar van Lissa
https://cjvanlissa.github.io/tidySEM/
- Measurement Invariance
Lavaan tutorial
https://lavaan.ugent.be/tutorial/groups.html
But also
https://towardsdatascience.com/testing-for-measurement-invariance-in-r-b44cace10148
https://github.com/simsem/semTools/wiki/Partial-Measurement-Invariance
https://github.com/SachaEpskamp/SEM-code-examples/blob/master/Measurement_invariance_examples/lavaan/StarWars_lavaan.R (Again sacha Epskamp)
- Bifactor
https://blogs.baylor.edu/rlatentvariable/sample-page/r-syntax/#Bi-factor_model
http://drjosephhammer.com/research/bifactor-analysis-resources/
https://cran.r-project.org/web/packages/BifactorIndicesCalculator/index.html
http://sachaepskamp.com/SEM2020#Week_4_8211_Advanced_CFA_topics (Again sacha Epskamp)
- Ouvrages
Gana, K., & Broc, G. (2018). Introduction à la modélisation par équations structurales : Manuel pratique avec lavaan. ISTE editions.
Beaujean, A. A. (2014). Latent variable modeling using R : A step by step guide. Routledge/Taylor & Francis Group.
Brown, T. A. (2015). Confirmatory factor analysis for applied research (Second edition). The Guilford Press.
Kline, R. B. (2016). Principles and practice of structural equation modeling (Fourth edition). The Guilford Press.
- Articles
Kyriazos, T. A. (2018). Applied Psychometrics : The 3-Faced Construct Validation Method, a Routine for Evaluating a Factor Structure. Psychology, 09(08), 2044‑2072. https://doi.org/10.4236/psych.2018.98117
Dima, A. L. (2018). Scale validation in applied health research : Tutorial for a 6-step R-based psychometrics protocol. Health Psychology and Behavioral Medicine, 6(1), 136‑161. https://doi.org/10.1080/21642850.2018.1472602
Schmitt, T. a. (2011). Current Methodological Considerations in Exploratory and Confirmatory Factor Analysis. Journal of Psychoeducational Assessment, 29(4), 304‑321. https://doi.org/10.1177/0734282911406653
Sellbom, M., & Tellegen, A. (2019). Factor analysis in psychological assessment research : Common pitfalls and recommendations. Psychological Assessment, 31(12), 1428‑1441. https://doi.org/10.1037/pas0000623
McNeish, D., & Wolf, M. G. (2020). Thinking twice about sum scores. Behavior Research Methods. https://doi.org/10.3758/s13428-020-01398-0
Putnick, D. L., & Bornstein, M. H. (2016). Measurement invariance conventions and reporting : The state of the art and future directions for psychological research. Developmental Review, 41, 71‑90. https://doi.org/10.1016/j.dr.2016.06.004
https://quantitudepod.org/s3e15-heywood-cases/
https://quantitudepod.org/latent-means/
see the presentation David Condon gave at the 2023 Congress of the Association for Research in Personality : https://twitter.com/JessieSunPsych/status/1682794801643634689?s=20 Slide available here : https://osf.io/uy4s2?view_only=a683621d9dec4caf9a257462699f81f9
Pour avoir accès au fichier du cours : https://github.com/yannickmorvan/MetStatPsyCli/blob/main/MetStatPsyCli.Rmd