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。
| 序数克朗巴赫系数（Ordinal Cronbach's Alpha）× | 验证性因子分析（CFA）× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 2007 | 1969 |
| 提出者≠ | Zumbo, Gadermann, and Zeisser | Karl Gustav Jöreskog |
| 类型≠ | Internal consistency reliability coefficient | Hypothesis-testing latent variable model |
| 开创性文献≠ | Zumbo, B. D., Gadermann, A. M., & Zeisser, C. (2007). Ordinal versions of coefficients alpha and theta for Likert rating scales. Journal of Modern Applied Statistical Methods, 6(1), 21–29. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| 别名 | alpha for ordinal data, polychoric alpha, ordinal reliability coefficient, alpha based on polychoric correlations | CFA, confirmatory FA, measurement model, restricted factor analysis |
| 相关≠ | 3 | 4 |
| 摘要≠ | Ordinal Cronbach's alpha is a reliability coefficient computed from polychoric or polyserial correlations rather than Pearson correlations, making it appropriate for Likert-type and other ordinal item response data. It corrects the systematic downward bias that standard Cronbach's alpha produces when items are treated as continuous but are actually ordinal. | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. |
| ScholarGate数据集 ↗ |
|
|