השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| מהימנות מבחן-חוזר רב-קבוצתית× | ניתוח גורמים מאשר (CFA)× | |
|---|---|---|
| תחום | פסיכומטריה | פסיכומטריה |
| משפחה | Latent structure | Latent structure |
| שנת המקור≠ | 1979–2000 | 1969 |
| הוגה השיטה≠ | Systematic multi-group extensions developed alongside measurement invariance frameworks (Vandenberg & Lance, 2000); intraclass correlation foundation in Shrout & Fleiss (1979) | Karl Gustav Jöreskog |
| סוג≠ | Reliability estimation across groups | Hypothesis-testing latent variable model |
| מקור מכונן≠ | Shrout, P. E. & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86(2), 420–428. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| כינויים | multi-group temporal stability, cross-group test-retest reliability, group-comparative retest reliability, multi-sample temporal consistency | CFA, confirmatory FA, measurement model, restricted factor analysis |
| קשורות≠ | 5 | 4 |
| תקציר≠ | Multi-group test-retest reliability evaluates whether a measure produces stable scores across time separately for two or more defined groups — such as different genders, age cohorts, or clinical populations — and determines whether the degree of that temporal stability is equivalent across those groups. | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. |
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