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| Nomologische Validität× | Strukturelle Gleichungsmodellierung× | |
|---|---|---|
| Fachgebiet≠ | Psychometrie | Forschungsstatistik |
| Familie≠ | Latent structure | Process / pipeline |
| Entstehungsjahr≠ | 1955 | 1921 |
| Urheber≠ | Lee J. Cronbach & Paul E. Meehl | Sewall Wright |
| Typ≠ | Validity evidence framework | Method |
| Wegweisende Quelle≠ | Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗ | Jöreskog, K. G., & Sörbom, D. (1973). LISREL: A general computer program for estimating a linear structural equation system. Research Bulletin 73-5. University of Stockholm. link ↗ |
| Aliasnamen≠ | nomological network validity, construct network validity, nomological web validity | SEM, path analysis, latent variable modeling, causal modeling |
| Verwandt≠ | 6 | 3 |
| Zusammenfassung≠ | Nomological validity evaluates whether a construct behaves as theory predicts within a broader network of related constructs. It is not a single statistical test but an accumulation of evidence that the measure fits coherently into a web of theoretically grounded relationships — demonstrating that what is measured is what the theory says it should measure. | Structural equation modeling (SEM) is a comprehensive statistical framework combining path analysis (Sewall Wright, 1921) and confirmatory factor analysis to test complex causal models linking observed and latent variables. Formalized by Jöreskog (1973) with LISREL software, SEM enables simultaneous estimation of measurement relationships (how variables measure latent constructs) and structural relationships (how constructs influence outcomes), making it powerful for theory testing in psychology, epidemiology, organizational research, and health sciences where complex mediation, moderation, and latent processes require integrated analysis. |
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