So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Phân tích nhân tố cho phát triển thang đo× | Phân tích nhân tố khẳng định cho thang đo× | |
|---|---|---|
| Lĩnh vực | Trắc lượng tâm lý | Trắc lượng tâm lý |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1947 | 1969 |
| Người khởi xướng≠ | Louis Thurstone | Karl G. Jöreskog |
| Loại≠ | Exploratory factor analysis methodology | Confirmatory factor analysis methodology |
| Công trình gốc≠ | 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 ↗ |
| Tên gọi khác≠ | Exploratory factor analysis, EFA for scale development, Factorial structure analysis | CFA, Confirmatory factor analysis, Path analysis, Structural equation modeling |
| Liên quan≠ | 5 | 4 |
| Tóm tắt≠ | 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. |
| ScholarGateBộ dữ liệu ↗ |
|
|