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Продольная номологическая валидность×Продольный конфирматорный факторный анализ×
ОбластьПсихометрияПсихометрия
СемействоLatent structureLatent structure
Год появления1955 (concept); longitudinal extension 1990s–2000s1970s–1990s
Автор методаCronbach & Meehl (nomological network concept, 1955); longitudinal extension developed in organizational and personality research from the 1990s onwardKarl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s
ТипValidity evaluationLongitudinal latent variable / measurement model
Основополагающий источникCronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗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. link ↗
Другие названияlongitudinal construct validity, nomological network validation across time, longitudinal criterion-related validity, temporal nomological validitylongitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA
Связанные66
СводкаLongitudinal nomological validity evaluates whether a construct's theoretically predicted relationships with other constructs hold consistently across multiple measurement occasions. It extends the nomological network framework of Cronbach and Meehl (1955) to longitudinal designs, testing whether a scale behaves as theory demands not only at a single time point but 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.
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ScholarGateСравнение методов: Longitudinal Nomological Validity · Longitudinal CFA. Получено 2026-06-18 из https://scholargate.app/ru/compare