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| 서열 척도 개발× | 순서형 탐색적 요인 분석× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1932 (Likert format); 1990s–2000s (ordinal-specific psychometric methods) | 1978–1984 |
| 창시자≠ | Rensis Likert (foundational ordinal response format); modern ordinal methodology codified by DeVellis and Finney & DiStefano | Bengt Muthén |
| 유형≠ | Scale construction methodology | Latent variable / dimension reduction |
| 원전≠ | 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 ↗ |
| 별칭 | Likert scale development, ordinal measurement scale construction, ordinal item development, polytomous scale construction | ordinal factor analysis, polychoric EFA, categorical EFA, EFA for ordinal data |
| 관련 | 5 | 5 |
| 요약≠ | 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 exploratory factor analysis discovers latent factors underlying a set of ordinal items — typically Likert scales — by computing polychoric correlations among the items and then applying a weighted least squares estimator. It avoids the distortions that arise when continuous EFA methods are naively applied to ordered categorical responses. |
| ScholarGate데이터셋 ↗ |
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