השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| מודל דו-גורמי (גורמים כלליים וספציפיים)× | ניתוח גורמים גישוש (EFA)× | |
|---|---|---|
| תחום≠ | פסיכומטריה | סטטיסטיקה |
| משפחה | Latent structure | Latent structure |
| שנת המקור≠ | 1937 | — |
| הוגה השיטה≠ | Holzinger & Swineford (1937); modern revival by Reise (2012) | — |
| סוג≠ | Confirmatory latent variable model | Latent variable / dimension reduction |
| מקור מכונן≠ | Reise, S. P. (2012). The Rediscovery of Bifactor Measurement Models. Multivariate Behavioral Research, 47(5), 667–696. DOI ↗ | 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 ↗ |
| כינויים≠ | Bifaktör Modeli — Genel ve Spesifik Faktörler, hierarchical factor model, general-specific factor model, Schmid-Leiman model | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| קשורות≠ | 6 | 4 |
| תקציר≠ | The bifactor measurement model specifies that every indicator loads simultaneously on a single general factor and on one of several specific (group) factors. Formally introduced by Holzinger and Swineford in 1937 and brought into mainstream psychometrics by Reise (2012), it is now the standard tool for evaluating whether a multidimensional scale can legitimately yield a single composite score. | 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. |
| ScholarGateמערך נתונים ↗ |
|
|