Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Mēroga izstrāde× | Eksploratīvā faktoru analīze (EFA)× | |
|---|---|---|
| Nozare≠ | Psihometrija | Statistika |
| Saime | Latent structure | Latent structure |
| Izcelsmes gads≠ | 1991–1995 | — |
| Autors≠ | Multiple contributors; codified by Robert DeVellis and Lee Anna Clark & David Watson | — |
| Tips≠ | Multi-step methodological framework | Latent variable / dimension reduction |
| Pirmavots≠ | DeVellis, R. F. (2016). Scale Development: Theory and Applications (4th ed.). SAGE Publications. ISBN: 978-1506341569 | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ |
| Citi nosaukumi≠ | questionnaire construction, instrument development, measurement scale construction, psychometric scale building | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| Saistītās≠ | 5 | 4 |
| Kopsavilkums≠ | 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. | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. |
| ScholarGateDatu kopa ↗ |
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