Linganisha mbinu

	Uthibitisho wa Usawa wa Kina wa Kimaelezo kwa Muda Mrefu	Uchanganuzi wa Kielelezo cha Uhakiki wa Muda Mrefu
Nyanja	Saikometriki	Saikometriki
Familia	Latent structure	Latent structure
Mwaka wa asili	1997–2003	1970s–1990s
Mwanzilishi	Cole & Maxwell; Widaman & Reise	Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s
Aina	Validity evidence framework	Longitudinal latent variable / measurement model
Chanzo asilia	Cole, D. A. & Maxwell, S. E. (2003). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112(4), 558–577.	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.
Majina mbadala	longitudinal construct validity, repeated-measure convergent validity, cross-time convergent validity, temporal convergent validity	longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA
Zinazohusiana	6	6
Muhtasari	Longitudinal convergent validity evaluates whether a scale's indicators correlate with theoretically related constructs not just at a single time point but consistently across repeated measurement occasions. It extends standard convergent validity testing into longitudinal designs to ensure that the scale measures the intended construct in the same meaningful way over time.	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.