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| Validitas Nomologis Longitudinal× | Analisis Faktor Konfirmatori Longitudinal× | |
|---|---|---|
| Bidang | Psikometri | Psikometri |
| Keluarga | Latent structure | Latent structure |
| Tahun asal≠ | 1955 (concept); longitudinal extension 1990s–2000s | 1970s–1990s |
| Pencetus≠ | Cronbach & Meehl (nomological network concept, 1955); longitudinal extension developed in organizational and personality research from the 1990s onward | Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s |
| Tipe≠ | Validity evaluation | Longitudinal latent variable / measurement model |
| Sumber perintis≠ | Cronbach, 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 ↗ |
| Alias | longitudinal construct validity, nomological network validation across time, longitudinal criterion-related validity, temporal nomological validity | longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA |
| Terkait | 6 | 6 |
| Ringkasan≠ | Longitudinal 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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