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	Podłużna alfa Cronbacha	Długofalowa konfirmacyjna analiza czynnikowa
Dziedzina	Psychometria	Psychometria
Rodzina	Latent structure	Latent structure
Rok powstania	1951 (alpha); longitudinal application systematised ca. 1990s–2000s	1970s–1990s
Twórca	Lee J. Cronbach (alpha); longitudinal extension formalised in scale validation literature from 1980s onward	Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s
Typ	Reliability estimation across time	Longitudinal latent variable / measurement model
Źródło pierwotne	Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.	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	repeated-measures alpha, longitudinal internal consistency, wave-specific Cronbach's alpha, time-point reliability estimation	longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA
Pokrewne	4	6
Podsumowanie	Longitudinal Cronbach's alpha assesses the internal consistency reliability of a scale at each wave of a repeated-measures study and examines whether that reliability remains stable across time. It is an essential step in longitudinal scale validation, ensuring that a scale measures its construct with consistent precision at every measurement occasion.	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.