Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
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Abstract
The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi square test, in addition to the known problems related to sample size and power, is that it may indicate an increasing correspondence between the hypothesized model and the observed data as both the measurement properties and the relationship between constructs decline. Further, and contrary to common assertion, the risk of making a Type II error can be substantial even when the sample size is large. Moreover, the present testing methods are unable to assess a model's explanatory power. To overcome these problems, the authors develop and apply a testing system based on measures of shared variance within the structural model, measurement model, and overall model.
Salvato in:
| Autori: | ; |
|---|---|
| Pubblicato in: | Journal of Marketing Research, vol. 18, n. 1, pp. 39 |
| Data di pubblicazione: | 01/02/1981 |
| Editore: | SAGE Publishing |
| Tipo di documento: | Articolo |
| Lingua: | inglese |
| DOI: | 10.1177/002224378101800104 |
| ISSN: | 0022-2437, 1547-7193 |
| Accesso aperto: | Nessuna copia ad accesso aperto nota: per le risorse in abbonamento usare Verifica disponibilità. |
| Citazioni ricevute: | 108.728 |
| Soggetti: |
Psychometric Methodologies and Testing
(Social Sciences > Decision Sciences > Management Science and Operations Research)
Statistical Methods and Applications
(Physical Sciences > Mathematics > Statistics and Probability)
Statistical Methods and Bayesian Inference
(Physical Sciences > Mathematics > Statistics and Probability)
|
| Identificativi: | OpenAlex W4235678817 |
Dati dell'indice centrale: OpenAlex (licenza CC0).
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