Salīdzināt metodes

	Longitudinālā testa-atkārtotā testa ticamība	Garenā analītiskā faktoru analīze
Nozare	Psihometrija	Psihometrija
Saime	Latent structure	Latent structure
Izcelsmes gads	1904 (test-retest); longitudinal application formalized mid-20th century	1970s–1990s
Autors	Spearman, Charles; extended to longitudinal contexts by psychometric theorists	Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s
Tips	Reliability estimation / temporal stability	Longitudinal latent variable / measurement model
Pirmavots	Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070478497	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.
Citi nosaukumi	longitudinal stability reliability, repeated-measurement reliability, temporal stability across waves, longitudinal retest coefficient	longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA
Saistītās	3	6
Kopsavilkums	Longitudinal test-retest reliability quantifies how consistently a scale or measure performs across two or more time points in a longitudinal study. It extends the classic test-retest paradigm by accounting for planned, often substantive, time lags between waves — making it essential for validating instruments used in panel, cohort, or growth-curve research.	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.