The Schmid–Leiman (S–L; Psychometrika 22: 53–61, 1957) transformation is a popular method for conducting exploratory bifactor analysis that has been used in hundreds of studies of individual differencdoi:10.1007/s11336-017-9599-0Waller
Hierarchical factor structure of the cognitive assessment system: Variance partitions from the Schmid-Leiman (1957) procedure 来自 钛学术 喜欢 0 阅读量: 32 作者: GL Canivez 摘要: Orthogonal higher-order factor structure of the Cognitive Assessment System (CAS; Naglieri & Das, 1997a) for the ...
The Schmid–Leiman (S–L; Psychometrika 22: 53–61, 1957) transformation is a popular method for conducting exploratory bifactor analysis that has been used in hundreds of studies of individual differencdoi:10.1007/s11336-017-9599-0Waller
Factor structure of reduced self-report inventory as formalised by model 2, the Schmid-Leiman variant of the confirmatory factor model.Daniel MüllensiefenBruno GingrasJason MusilLauren Stewart
A Schmid-Leiman based transformation for which the three types of factor score predictors are perfectly correlated for corresponding orthogonal factors is proposed.doi:10.22237/jmasm/1493597160André BeauducelJournal of Modern Applied Statistical Methods Jmasm...
Factor analysisfactor score predictorsSchmid-Leiman transformationFactor score predictors are computed when individual factor scores are of interest. Conditions for a perfect inter-correlation of the best linear factor score predictor, the best linear conditionally unbiased predictor, and the determinant ...
Oleksandr S Chernyshenko, Stephen Stark and Kim Yin Chan (2001), "Investigating the Hierarchical Factor Structure of the Fifth Edition of the 16PF: an Application of the Schmid-Leiman Orthogonalization Procedure", Educational and Psychological Measurement, 61, (2); 290-302....