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	Teoria odpowiedzi na pozycje (IRT) w ujęciu podłużnym (LIRT)	Długofalowa konfirmacyjna analiza czynnikowa
Dziedzina	Psychometria	Psychometria
Rodzina	Latent structure	Latent structure
Rok powstania	1991	1970s–1990s
Twórca	Susan E. Embretson	Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s
Typ	Latent trait / longitudinal psychometric model	Longitudinal latent variable / measurement model
Źródło pierwotne	Embretson, S. E. (1991). A multidimensional latent trait model for measuring learning and change. Psychometrika, 56(3), 495–515.	Widaman, K. F. & Reise, S. P. (1997). Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. In K. J. Bryant, M. Windle & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 281–324). American Psychological Association.
Inne nazwy	LIRT, longitudinal IRT, repeated-measures IRT, dynamic item response modeling	longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA
Pokrewne	4	6
Podsumowanie	Longitudinal IRT extends classical item response theory to data collected at multiple time points, allowing researchers to model both the initial latent trait level and its change over time. It is used in educational assessment, clinical trials, and panel studies where the same items or item banks are administered repeatedly to the same individuals.	Longitudinal confirmatory factor analysis (longitudinal CFA) applies a theoretically specified measurement model to data collected at two or more time points. Its primary purpose is to verify that a scale measures the same latent construct in the same way over time — a prerequisite for drawing valid conclusions about change from repeated-measures data.