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| Multiple Faktorenanalyse× | Latente Transitionsanalyse× | |
|---|---|---|
| Fachgebiet | Psychometrie | Psychometrie |
| Familie | Latent structure | Latent structure |
| Entstehungsjahr≠ | 1985 | 2002 |
| Urheber≠ | Brigitte Escofier, Jérôme Pagès | Linda M. Collins, Stephanie T. Lanza |
| Typ≠ | Multiblock dimension reduction | Markovian transition between latent states |
| Wegweisende Quelle≠ | Escofier, B., & Pagès, J. (1985). Analyses factorielles simples et multiples : Objectifs, méthodes et interprétation. Dunod. ISBN: 9782040116835 | Collins, L. M., & Lanza, S. T. (2010). Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences. Wiley. ISBN: 9780470228395 |
| Aliasnamen≠ | MFA, MFA multiple | LTA |
| Verwandt≠ | 5 | 4 |
| Zusammenfassung≠ | Multiple Factor Analysis (MFA) is a dimension reduction technique developed by Escofier and Pagès (1985) for analyzing multiple groups of variables measured on the same observations. MFA balances the influence of each variable group to provide a unified view of how observations relate across multiple perspectives. | Latent Transition Analysis (LTA) is a method for studying transitions between latent classes over time, developed by Collins and Lanza (2010). LTA combines latent class analysis (grouping individuals into classes) with Markovian transition models to understand how people move between qualitatively distinct states across time periods. |
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