Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Mitmergise skaalide arendamine× | Skaalaarendus× | |
|---|---|---|
| Valdkond | Psühhomeetria | Psühhomeetria |
| Perekond | Latent structure | Latent structure |
| Tekkeaasta≠ | 1971 (multi-group CFA); 2000 (applied synthesis for scale development) | 1991–1995 |
| Looja≠ | Jöreskog, K. G. (multi-group SEM framework); systematised for scale development by Vandenberg & Lance (2000) | Multiple contributors; codified by Robert DeVellis and Lee Anna Clark & David Watson |
| Tüüp≠ | Scale development / measurement model testing | Multi-step methodological framework |
| Algallikas≠ | 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 ↗ | DeVellis, R. F. (2016). Scale Development: Theory and Applications (4th ed.). SAGE Publications. ISBN: 978-1506341569 |
| Rööpnimetused | MGSD, cross-group scale development, multi-sample scale development, comparative scale construction | questionnaire construction, instrument development, measurement scale construction, psychometric scale building |
| Seotud≠ | 6 | 5 |
| Kokkuvõte≠ | Multi-group scale development constructs and validates a measurement scale simultaneously across two or more distinct populations or groups. The approach integrates standard item generation and factor-analytic procedures with a systematic hierarchy of measurement invariance tests to ensure that the resulting scale measures the same construct in the same way in every target group. | Scale development is a structured, multi-step process for creating psychometrically sound measurement instruments that capture latent psychological constructs. It encompasses construct definition, item generation, expert review, exploratory and confirmatory factor analysis, reliability estimation, and validity evidence collection — producing a final set of items suitable for quantitative research. |
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