השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניתוח גורמים גישוש (EFA)× | ניתוח גורמים מאשר (CFA)× | |
|---|---|---|
| תחום≠ | סטטיסטיקה | פסיכומטריה |
| משפחה | Latent structure | Latent structure |
| שנת המקור≠ | — | 1969 |
| הוגה השיטה≠ | — | Karl Gustav Jöreskog |
| סוג≠ | Latent variable / dimension reduction | Hypothesis-testing latent variable model |
| מקור מכונן≠ | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| כינויים≠ | common factor analysis, açımlayıcı faktör analizi, factor analysis | CFA, confirmatory FA, measurement model, restricted factor analysis |
| קשורות | 4 | 4 |
| תקציר≠ | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. | 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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