Σύγκριση μεθόδων

	Διαχρονική Ανάλυση Στοιχείων Κλίμακας	Διαχρονική Διερευνητική Ανάλυση Παραγόντων
Πεδίο	Ψυχομετρία	Ψυχομετρία
Οικογένεια	Latent structure	Latent structure
Έτος προέλευσης	1990s–2000s	1970s–1990s
Δημιουργός	Vandenberg, Lance, Meade and colleagues in organizational/educational measurement	Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s
Τύπος	Item-level longitudinal diagnostic	Longitudinal latent variable / measurement model
Θεμελιώδης πηγή	Meade, A. W., Johnson, E. C. & Braddy, P. W. (2008). Power and sensitivity of alternative fit indices in tests of measurement invariance. Journal of Applied Psychology, 93(3), 568–592.	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.
Εναλλακτικές ονομασίες	LIA, repeated-measures item analysis, longitudinal item calibration, item parameter stability analysis	longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA
Συναφείς	6	6
Σύνοψη	Longitudinal item analysis examines how the statistical properties of individual scale items — difficulty, discrimination, factor loadings, and fit — remain stable or change systematically across repeated measurement occasions. It is the item-level foundation of longitudinal measurement validity.	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.