השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניתוח נתיבים× | ניתוח גורמים מאשר (CFA)× | |
|---|---|---|
| תחום≠ | סטטיסטיקה | פסיכומטריה |
| משפחה | Latent structure | Latent structure |
| שנת המקור≠ | 1921 | 1969 |
| הוגה השיטה≠ | Sewall Wright | Karl Gustav Jöreskog |
| סוג≠ | Causal / mediation model | Hypothesis-testing latent variable model |
| מקור מכונן≠ | Wright, S. (1921). Correlation and causation. Journal of Agricultural Research, 20(7), 557–585. link ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| כינויים | PA, path coefficient analysis, observed-variable SEM, causal path modeling | CFA, confirmatory FA, measurement model, restricted factor analysis |
| קשורות≠ | 5 | 4 |
| תקציר≠ | Path analysis tests a researcher-specified causal diagram among observed variables by decomposing their intercorrelations into direct effects, indirect (mediated) effects, and spurious associations. Developed by Sewall Wright in 1921, it is the observed-variable special case of structural equation modeling and remains a standard tool for theory-driven multivariate causal inference. | 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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