方法对比
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| 量表开发× | 探索性因子分析（EFA）× | |
|---|---|---|
| 领域≠ | 心理测量学 | 统计学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1991–1995 | — |
| 提出者≠ | Multiple contributors; codified by Robert DeVellis and Lee Anna Clark & David Watson | — |
| 类型≠ | Multi-step methodological framework | Latent variable / dimension reduction |
| 开创性文献≠ | DeVellis, R. F. (2016). Scale Development: Theory and Applications (4th ed.). SAGE Publications. ISBN: 978-1506341569 | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ |
| 别名≠ | questionnaire construction, instrument development, measurement scale construction, psychometric scale building | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| 相关≠ | 5 | 4 |
| 摘要≠ | Scale development is a structured, multi-step process for creating psychometrically sound measurement instruments that capture latent psychological constructs. It encompasses construct definition, item generation, expert review, exploratory and confirmatory factor analysis, reliability estimation, and validity evidence collection — producing a final set of items suitable for quantitative research. | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. |
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