विधियों की तुलना करें

	अनुदैर्ध्य मद विश्लेषण	दीर्घकालिक पुष्टिकारी कारक विश्लेषण (Longitudinal Confirmatory Factor Analysis)
क्षेत्र	मनोमिति	मनोमिति
परिवार	Latent structure	Latent structure
उद्भव वर्ष	1990s–2000s	1970s–1990s
प्रवर्तक	Vandenberg, Lance, Meade and colleagues in organizational/educational measurement	Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s
प्रकार	Item-level longitudinal diagnostic	Longitudinal latent variable / measurement model
मौलिक स्रोत	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.
उपनाम	LIA, repeated-measures item analysis, longitudinal item calibration, item parameter stability analysis	longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA
संबंधित	6	6
सारांश	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.