方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 量表验证性因子分析× | 地板和天花板效应× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1969 | 2000 |
| 提出者≠ | Karl G. Jöreskog | Classical psychometrics |
| 类型≠ | Confirmatory factor analysis methodology | Measurement validity assessment |
| 开创性文献≠ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183-202. DOI ↗ | McHorney, C. A. (2000). Ten recommendations for measuring health status. Health-Related Quality of Life Outcomes, 2(1), 1-5. link ↗ |
| 别名 | CFA, Confirmatory factor analysis, Path analysis, Structural equation modeling | Floor effect, Ceiling effect, Psychometric floor effect, Measurement floor |
| 相关 | 4 | 4 |
| 摘要≠ | Confirmatory Factor Analysis (CFA) is a statistical method for testing whether a hypothesized factorial structure fits empirical data. Developed by Karl G. Jöreskog in 1969, CFA is the standard approach for validating psychometric scales by evaluating whether items load onto theoretically specified latent factors as expected. Unlike exploratory factor analysis, CFA requires a priori specification of the factor structure and provides goodness-of-fit indices to assess model adequacy. | 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. |
| ScholarGate数据集 ↗ |
|
|