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Ghanbar, Hessameddin; Rezvani, Reza – International Journal of Language Testing, 2023
Structural equation modeling (SEM), as a flexible and versatile multivariate statistical technique, has been growingly used since its introduction in the 1970s. This article presents a methodological synthesis of the characteristics of the use of SEM in L2 research by examining the reporting practices in light of the current SEM literature to…
Descriptors: Second Language Learning, Second Language Instruction, Structural Equation Models, Language Research

Bachman, Lyle F. – Annual Review of Applied Linguistics, 1988
Discusses three research/testing interfaces in second-language (L2) testing: the covariance structure analysis of ex post facto correlational data, the qualitative investigation of test-taking processes, and the development of L2 assessment instruments based on developmental sequences in L2 acquisition. (61 references) (GLR)
Descriptors: Language Proficiency, Language Research, Language Tests, Multivariate Analysis
Lee, Gabriel A. – Online Submission, 2002
Rauding theory states that two factors, accuracy and rate, explain nearly all the variance in the general reading ability of American schoolchildren (Carver, 1999). Using Structural Equation Modeling (SEM) and regression, this dissertation investigated to what extent the Rauding model could be applied to 92 Japanese university aged young adults…
Descriptors: Foreign Countries, Structural Equation Models, Word Recognition, Reading Ability