Structural equation modeling: Difference between revisions

Revision as of 21:01, 15 May 2024

Revision as of 19:20, 25 May 2024

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* Fusion validity models<ref name="HEH19">Hayduk, L.A.; Estabrooks, C.A.; Hoben, M. (2019). “Fusion validity: Theory-based scale assessment via causal structural equation modeling.” Frontiers in Psychology, 10: 1139. doi: 10.3389/psyg.2019.01139</ref>

* [[Item response theory]] models {{citation needed|date=July 2023}}

* [[Latent class models]] {{citation needed|date=July 2023}}

* [[Latent growth modeling]] {{citation needed|date=July 2023}}

* Link functions {{citation needed|date=July 2023}}

* Longitudinal models <ref>{{Cite journal |last1=Zyphur |first1=Michael J. |last2=Allison |first2=Paul D. |last3=Tay |first3=Louis |last4=Voelkle |first4=Manuel C. |last5=Preacher |first5=Kristopher J. |last6=Zhang |first6=Zhen |last7=Hamaker |first7=Ellen L. |last8=Shamsollahi |first8=Ali |last9=Pierides |first9=Dean C. |last10=Koval |first10=Peter |last11=Diener |first11=Ed |date=October 2020 |title=From Data to Causes I: Building A General Cross-Lagged Panel Model (GCLM) |journal=Organizational Research Methods |language=en |volume=23 |issue=4 |pages=651–687 |doi=10.1177/1094428119847278 |s2cid=181878548 |issn=1094-4281|doi-access=free |hdl=11343/247887 |hdl-access=free }}</ref>

* Measurement invariance models <ref>{{Cite journal |last1=Leitgöb |first1=Heinz |last2=Seddig |first2=Daniel |last3=Asparouhov |first3=Tihomir |last4=Behr |first4=Dorothée |last5=Davidov |first5=Eldad |last6=De Roover |first6=Kim |last7=Jak |first7=Suzanne |last8=Meitinger |first8=Katharina |last9=Menold |first9=Natalja |last10=Muthén |first10=Bengt |last11=Rudnev |first11=Maksim |last12=Schmidt |first12=Peter |last13=van de Schoot |first13=Rens |date=February 2023 |title=Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives |url=https://linkinghub.elsevier.com/retrieve/pii/S0049089X22001168 |journal=Social Science Research |language=en |volume=110 |pages=102805 |doi=10.1016/j.ssresearch.2022.102805|pmid=36796989 |hdl=1874/431763 |s2cid=253343751 |hdl-access=free }}</ref>

* [[Mixture model]], lLatent class models {{citation needed|date=July 2023}}

* [[Multilevel models]], hierarchical models (e.g. people nested in groups) <ref>{{Citation |last1=Sadikaj |first1=Gentiana |title=Multilevel structural equation modeling for intensive longitudinal data: A practical guide for personality researchers |date=2021 |url=https://linkinghub.elsevier.com/retrieve/pii/B9780128139950000339 |work=The Handbook of Personality Dynamics and Processes |pages=855–885 |access-date=2023-11-03 |publisher=Elsevier |language=en |doi=10.1016/b978-0-12-813995-0.00033-9 |isbn=978-0-12-813995-0 |last2=Wright |first2=Aidan G.C. |last3=Dunkley |first3=David M. |last4=Zuroff |first4=David C. |last5=Moskowitz |first5=D.S.}}</ref>

* Multiple group modelling with or without constraints between groups (genders, cultures, test forms, languages, etc.) {{citation needed|date=July 2023}}