So sánh phương pháp
Xem các phương pháp đã chọn cạnh nhau; những hàng khác biệt được làm nổi bật.
| Mô hình phương trình cấu trúc Bayes (BSEM)× | Phân tích nhân tố khẳng định (CFA)× | Mô hình đường cong tăng trưởng tiềm ẩn (LGC)× | |
|---|---|---|---|
| Lĩnh vực≠ | Bayes | Thống kê | Thống kê |
| Họ≠ | Bayesian methods | Latent structure | Latent structure |
| Năm ra đời≠ | 2012 | 1969 | 1990 |
| Người khởi xướng≠ | Bengt Muthén & Tihomir Asparouhov | Karl Jöreskog | Meredith & Tisak |
| Loại≠ | Bayesian latent variable model | Confirmatory latent variable model | Latent variable / longitudinal growth model |
| Công trình gốc≠ | Muthén, B. & Asparouhov, T. (2012). Bayesian SEM: A More Flexible Representation of Substantive Theory. Psychological Methods, 17(3), 313–335. link ↗ | Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363 | Meredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122. DOI ↗ |
| Tên gọi khác≠ | BSEM, Bayesian latent variable model, approximate zero constraints SEM, Bayesçi Yapısal Eşitlik Modeli | Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement model | latent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modeli |
| Liên quan≠ | 6 | 4 | 5 |
| Tóm tắt≠ | Bayesian SEM, introduced by Muthén and Asparouhov in 2012, extends classical structural equation modeling by placing prior distributions on factor loadings, path coefficients, and covariances. Instead of returning a single maximum-likelihood estimate, it uses Markov chain Monte Carlo to produce a full posterior distribution for every parameter, enabling principled uncertainty quantification in models with latent variables. | Confirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships. | The latent growth curve model is a structural equation modelling approach introduced by Meredith and Tisak (1990) for analysing change over time. It treats each individual's starting point (intercept) and rate of change (slope) as latent variables, simultaneously estimating the average trajectory across the sample and the extent to which individuals differ in their own trajectories. |
| ScholarGateBộ dữ liệu ↗ |
|
|
|