Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Разработване на ординални скали× | Ординален анализ на надеждността× | |
|---|---|---|
| Област | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Година на възникване≠ | 1932 (Likert format); 1990s–2000s (ordinal-specific psychometric methods) | 2007 |
| Създател≠ | Rensis Likert (foundational ordinal response format); modern ordinal methodology codified by DeVellis and Finney & DiStefano | Bruno D. Zumbo and colleagues |
| Тип≠ | Scale construction methodology | Internal consistency reliability estimation |
| Основополагащ източник≠ | DeVellis, R. F. (2017). Scale Development: Theory and Applications (4th ed.). SAGE Publications. ISBN: 978-1506341569 | Zumbo, B. D., Gadermann, A. M. & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta as measures of internal consistency for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29. DOI ↗ |
| Други названия | Likert scale development, ordinal measurement scale construction, ordinal item development, polytomous scale construction | ordinal alpha, polychoric reliability, reliability for ordinal scales, ORA |
| Свързани | 5 | 5 |
| Резюме≠ | 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 reliability analysis estimates the internal consistency of scales whose items are measured on ordered-category (Likert-type) response formats. By basing computations on polychoric correlations rather than Pearson correlations, it corrects for the attenuation that standard Cronbach's alpha produces when responses are discrete and non-normal. |
| ScholarGateНабор от данни ↗ |
|
|