השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| רב-קבוצתיות של אומיגה של מקדונלד (Multi-group McDonald's Omega)× | ניתוח גורמים מאשר מרובה-קבוצות (MG-CFA)× | |
|---|---|---|
| תחום | פסיכומטריה | פסיכומטריה |
| משפחה | Latent structure | Latent structure |
| שנת המקור≠ | 1999 (multi-group extension: 2000s–2010s) | 1971 |
| הוגה השיטה≠ | Roderick P. McDonald | Karl Jöreskog |
| סוג≠ | Reliability coefficient (multi-group extension) | Measurement model / invariance test |
| מקור מכונן≠ | McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830408 | Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. DOI ↗ |
| כינויים | multi-group omega, omega across groups, group-comparative omega, MG-omega | MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA |
| קשורות≠ | 4 | 6 |
| תקציר≠ | Multi-group McDonald's omega estimates and compares the reliability of a scale across two or more distinct groups. Rooted in confirmatory factor analysis, it uses the factor loadings and unique variances from each group's measurement model to compute omega, then tests whether reliability is statistically equivalent across groups. | Multi-group confirmatory factor analysis tests whether a measurement model holds equivalently across two or more groups — such as cultures, genders, or time points. By imposing increasingly stringent equality constraints and comparing model fit, it determines whether comparisons of latent mean scores are justified. |
| ScholarGateמערך נתונים ↗ |
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