方法对比

	短问卷测量不变性	短格式验证性因子分析 (SF-CFA)
领域	心理测量学	心理测量学
方法族	Latent structure	Latent structure
起源年份	2000s	1990s–2000s
提出者	Adapted from Vandenberg & Lance (2000) and Millsap & Kwok (2004) invariance framework applied to short-form scales	Building on CFA methodology (Jöreskog, 1969) applied to abbreviated scale contexts
类型	Measurement equivalence testing	Confirmatory latent-variable model
开创性文献	Millsap, R. E., & Kwok, O. M. (2004). Evaluating the impact of partial factor loading and intercept invariance on selection in two populations. Psychological Methods, 9(1), 93–115.	Byrne, B. M. (2008). Structural Equation Modeling with EQS: Basic Concepts, Applications, and Programming (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805841268
别名	SF-MI, abbreviated scale invariance, short-form factorial invariance, brief measure invariance	SF-CFA, abbreviated scale CFA, short-form validation, brief scale factor analysis
相关	6	4
摘要	Short form measurement invariance testing evaluates whether an abbreviated version of a psychological scale measures the same latent construct equivalently across groups or conditions. It applies the hierarchical multigroup confirmatory factor analysis invariance sequence — configural, metric, scalar, and strict — specifically to short-form instruments, ensuring that brevity does not introduce measurement bias when comparing subgroups.	Short-form confirmatory factor analysis applies CFA to a reduced subset of items drawn from a longer validated scale, testing whether the abbreviated version preserves the original factor structure with acceptable model fit and reliability. It is a standard step in short-form scale development and validation.