השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניתוח פריטים רב-קבוצתי× | ניתוח גורמים מאשר מרובה-קבוצות (MG-CFA)× | |
|---|---|---|
| תחום | פסיכומטריה | פסיכומטריה |
| משפחה | Latent structure | Latent structure |
| שנת המקור≠ | 1986 | 1971 |
| הוגה השיטה≠ | Classical test theory tradition; systematised by Crocker & Algina (1986) | Karl Jöreskog |
| סוג≠ | Comparative item-level analysis | Measurement model / invariance test |
| מקור מכונן≠ | Crocker, L. & Algina, J. (1986). Introduction to Classical and Modern Test Theory. Holt, Rinehart and Winston. ISBN: 978-0030616341 | 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 | MGIA, group-comparative item analysis, subgroup item analysis, cross-group item analysis | MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA |
| קשורות | 6 | 6 |
| תקציר≠ | Multi-group item analysis computes classical item statistics — difficulty, discrimination, and corrected item-total correlations — separately for each subgroup in a sample and then compares those statistics across groups. It is a standard diagnostic step in scale development and test fairness evaluation, revealing items that behave differently for men versus women, across age cohorts, or across cultural groups before more formal DIF testing. | 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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