השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| בדיקת השוואתית של מדידה לאורך זמן× | ניתוח גורמים מאשר (CFA)× | |
|---|---|---|
| תחום | פסיכומטריה | פסיכומטריה |
| משפחה | Latent structure | Latent structure |
| שנת המקור≠ | 1993 | 1969 |
| הוגה השיטה≠ | William Meredith | Karl Gustav Jöreskog |
| סוג≠ | Measurement model testing | Hypothesis-testing latent variable model |
| מקור מכונן≠ | Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58(4), 525–543. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| כינויים | LMI, longitudinal invariance, measurement equivalence across time, temporal measurement invariance | CFA, confirmatory FA, measurement model, restricted factor analysis |
| קשורות≠ | 3 | 4 |
| תקציר≠ | Longitudinal measurement invariance testing determines whether a psychological scale measures the same construct in the same way across two or more time points. It is a prerequisite for interpreting mean-level change scores in panel and repeated-measures studies, ensuring that observed change reflects true change in the construct rather than drift in the measurement instrument. | 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. |
| ScholarGateמערך נתונים ↗ |
|
|