השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניתוח גורמים מאשר (CFA)× | אלפא של קרונבך (ניתוח מהימנות)× | מהימנות מבחן-מבחן חוזר× | |
|---|---|---|---|
| תחום≠ | פסיכומטריה | סטטיסטיקה | פסיכומטריה |
| משפחה | Latent structure | Latent structure | Latent structure |
| שנת המקור≠ | 1969 | 1951 | 1904 |
| הוגה השיטה≠ | Karl Gustav Jöreskog | Lee J. Cronbach | Karl Pearson |
| סוג≠ | Hypothesis-testing latent variable model | Reliability / internal consistency coefficient | Reliability estimate |
| מקור מכונן≠ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ | Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. DOI ↗ | Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070478497 |
| כינויים | CFA, confirmatory FA, measurement model, restricted factor analysis | coefficient alpha, alpha reliability, internal consistency reliability, Güvenilirlik Analizi (Cronbach Alpha) | stability reliability, temporal stability, repeatability coefficient, TRT reliability |
| קשורות | 4 | 4 | 4 |
| תקציר≠ | 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. | Cronbach's alpha is a coefficient of internal consistency that quantifies the degree to which a set of items on a scale measures the same underlying construct. Introduced by Lee J. Cronbach in 1951, it remains the most widely reported reliability index in social-science, health, and educational research. | Test-retest reliability quantifies the temporal consistency of a measure by correlating scores obtained from the same participants on two separate occasions. It is a cornerstone of psychometric validation, directly indicating whether a scale or instrument yields stable scores when the underlying construct has not changed. |
| ScholarGateמערך נתונים ↗ |
|
|
|