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| 바닥 효과 및 천장 효과× | 척도 개발을 위한 요인 분석× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 2000 | 1947 |
| 창시자≠ | Classical psychometrics | Louis Thurstone |
| 유형≠ | Measurement validity assessment | Exploratory factor analysis methodology |
| 원전≠ | McHorney, C. A. (2000). Ten recommendations for measuring health status. Health-Related Quality of Life Outcomes, 2(1), 1-5. link ↗ | Thurstone, L. L. (1947). Multiple-Factor Analysis: A Development and Expansion of the Vectors of Mind (2nd ed.). Chicago: University of Chicago Press. ISBN: 9780226797557 |
| 별칭≠ | Floor effect, Ceiling effect, Psychometric floor effect, Measurement floor | Exploratory factor analysis, EFA for scale development, Factorial structure analysis |
| 관련≠ | 4 | 5 |
| 요약≠ | Floor and ceiling effects are psychometric phenomena in which a disproportionately large proportion of respondents achieve the lowest (floor) or highest (ceiling) possible score on a measurement scale. These effects compromise scale reliability and responsiveness, limiting the instrument's ability to distinguish among respondents and detect meaningful change over time. Systematic assessment of floor and ceiling effects is essential for evaluating the psychometric adequacy of health-related quality-of-life scales, functional status measures, and other patient-reported outcomes. | Exploratory factor analysis (EFA) is a statistical method for discovering the underlying dimensional structure of a set of items or variables. Pioneered by Louis Thurstone in the mid-20th century, EFA is widely used to develop and validate psychometric scales by identifying groups of items that correlate together, thereby revealing latent dimensions of the construct being measured. The method reduces item sets to a smaller number of interpretable factors. |
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