Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Ordinālās skalas izstrāde× | Ordinal Confirmatory Factor Analysis× | |
|---|---|---|
| Nozare | Psihometrija | Psihometrija |
| Saime | Latent structure | Latent structure |
| Izcelsmes gads≠ | 1932 (Likert format); 1990s–2000s (ordinal-specific psychometric methods) | 1984 |
| Autors≠ | Rensis Likert (foundational ordinal response format); modern ordinal methodology codified by DeVellis and Finney & DiStefano | Bengt O. Muthén |
| Tips≠ | Scale construction methodology | Latent variable / structural |
| Pirmavots≠ | DeVellis, R. F. (2017). Scale Development: Theory and Applications (4th ed.). SAGE Publications. ISBN: 978-1506341569 | Flora, D. B. & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491. DOI ↗ |
| Citi nosaukumi | Likert scale development, ordinal measurement scale construction, ordinal item development, polytomous scale construction | CFA for ordinal data, polychoric CFA, WLSMV CFA, categorical CFA |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | Ordinal scale development is the systematic construction and validation of multi-item measurement instruments whose response options form an ordered but not necessarily equal-interval sequence — most commonly Likert-type formats (e.g., 1 = Strongly Disagree to 5 = Strongly Agree). It applies psychometric techniques that respect the ordinal nature of items rather than treating them as continuous. | Ordinal confirmatory factor analysis (Ordinal CFA) tests a pre-specified factor structure when the observed indicators are ordinal — typically Likert-type survey items. By using polychoric correlations and robust estimators such as WLSMV, it avoids the bias that arises from treating categorical responses as continuous. |
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