השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניתוח גורמים מאשר (Confirmatory Factor Analysis - CFA)× | ניתוח מחלקות סמויות (LCA)× | |
|---|---|---|
| תחום | סטטיסטיקה | סטטיסטיקה |
| משפחה | Latent structure | Latent structure |
| שנת המקור≠ | 1969 | 1950s–1968 |
| הוגה השיטה≠ | Karl Jöreskog | Paul F. Lazarsfeld |
| סוג≠ | Confirmatory latent variable model | Latent variable / person-centered classification |
| מקור מכונן≠ | Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363 | Goodman, L. A. (1974). Exploratory latent structure analysis using both identifiable and unidentifiable models. Biometrika, 61(2), 215–231. DOI ↗ |
| כינויים≠ | Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement model | LCA, latent class model, latent categorical analysis, finite mixture of multinomials |
| קשורות≠ | 4 | 6 |
| תקציר≠ | Confirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships. | Latent class analysis identifies unobserved subgroups — latent classes — within a population by finding patterns of responses across a set of categorical observed indicators. It is the categorical-variable counterpart of cluster analysis, but grounded in an explicit probabilistic model, and is widely used in social, health, and behavioral sciences to discover typologies in survey or diagnostic data. |
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