手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| 尺度開発のための因子分析× | 尺度に対する確認的因子分析× | |
|---|---|---|
| 分野 | 心理測定学 | 心理測定学 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 1947 | 1969 |
| 提唱者≠ | Louis Thurstone | Karl G. Jöreskog |
| 種類≠ | Exploratory factor analysis methodology | Confirmatory factor analysis methodology |
| 原典≠ | 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 | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183-202. DOI ↗ |
| 別名≠ | Exploratory factor analysis, EFA for scale development, Factorial structure analysis | CFA, Confirmatory factor analysis, Path analysis, Structural equation modeling |
| 関連≠ | 5 | 4 |
| 概要≠ | 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. | 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. |
| ScholarGateデータセット ↗ |
|
|