השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| תוקף מתכנס רב-קבוצתי× | בדיקת השוואתית של מבחני מדידה רב-קבוצתיים× | |
|---|---|---|
| תחום | פסיכומטריה | פסיכומטריה |
| משפחה | Latent structure | Latent structure |
| שנת המקור≠ | 1981 / 2000 | 1971–1993 |
| הוגה השיטה≠ | Fornell & Larcker (convergent validity criteria); Vandenberg & Lance (multi-group extension) | Jöreskog, K. G. (1971); Meredith, W. (1993) |
| סוג≠ | Validity assessment procedure | Model comparison / hypothesis testing |
| מקור מכונן≠ | Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. DOI ↗ | 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 | cross-group convergent validity, multi-sample convergent validity, MGCFA convergent validity, AVE across groups | measurement invariance, factorial invariance, cross-group invariance, MI testing |
| קשורות | 6 | 6 |
| תקציר≠ | Multi-group convergent validity examines whether items purported to measure the same latent construct relate strongly to that construct consistently across distinct subgroups such as demographic categories, cultures, or experimental conditions. It extends single-sample convergent validity checks into a comparative multi-group confirmatory factor analysis framework. | 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. |
| ScholarGateמערך נתונים ↗ |
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