השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניתוח פריטים רב-קבוצתי× | בדיקת השוואתית של מבחני מדידה רב-קבוצתיים× | |
|---|---|---|
| תחום | פסיכומטריה | פסיכומטריה |
| משפחה | Latent structure | Latent structure |
| שנת המקור≠ | 1986 | 1971–1993 |
| הוגה השיטה≠ | Classical test theory tradition; systematised by Crocker & Algina (1986) | Jöreskog, K. G. (1971); Meredith, W. (1993) |
| סוג≠ | Comparative item-level analysis | Model comparison / hypothesis testing |
| 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 | measurement invariance, factorial invariance, cross-group invariance, MI testing |
| 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 measurement invariance testing examines whether a latent construct is measured in the same way across two or more distinct groups — such as cultures, genders, or age cohorts. It is a prerequisite for meaningful group comparisons of latent means or relationships, ensuring that observed score differences reflect true differences rather than measurement artifacts. |
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