방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 신뢰도 분석 (Short-Form Reliability Analysis)× | 탐색적 요인 분석 (EFA)× | |
|---|---|---|
| 분야≠ | 심리측정학 | 통계학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1990s–2000s | — |
| 창시자≠ | Conventional practice; codified notably by Smith, McCarthy & Anderson (2000) and Stanton et al. (2002) | — |
| 유형≠ | Scale development / psychometric evaluation | Latent variable / dimension reduction |
| 원전≠ | Stanton, J. M., Sinar, E. F., Balzer, W. K. & Smith, P. C. (2002). Issues and strategies for reducing the length of self-report scales. Personnel Psychology, 55(1), 167–194. DOI ↗ | 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 ↗ |
| 별칭≠ | abbreviated scale reliability, short-form validation, scale shortening, item reduction reliability | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| 관련≠ | 6 | 4 |
| 요약≠ | Short-form reliability analysis evaluates whether an abbreviated version of a psychological scale maintains acceptable internal consistency, validity, and structural integrity after items are removed. It is used in survey and assessment research to create briefer instruments that reduce respondent burden without sacrificing measurement quality. | 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. |
| ScholarGate데이터셋 ↗ |
|
|