Structural Equation Modeling: Possibilities for Language Learning Researchers1. Issue 1 (June 2015)

• Record Type: Journal Article
• Authors: Hancock, Gregory R.; Schoonen, Rob; Norris, John M.; Ross, Steven J.; Schoonen, Rob
• Is Part Of: Language learning. Volume 65:Issue 1(2015)
• Page Start: 160
• Page End: 184
• Publication Date: 2015-06
• Subjects: Language and languages -- Periodicals; Language and languages -- Study and teaching -- Periodicals; Linguistics; 407
• DOI: 10.1111/lang.12116
• Languages: English
• ISSNs: 0023-8333

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>Although classical statistical techniques have been a valuable tool in second language (L2) research, L2 research questions have started to grow beyond those techniques' capabilities, and indeed are often limited by them. Questions about how complex constructs relate to each other or to constituent subskills, about longitudinal development in those constructs and factors affecting that development, and about differences among populations in average amounts of complex constructs or in their relations require a broader analytical framework. Fortunately, that of structural equation modeling (SEM), a versatile and ever‐expanding family of techniques, is able to accommodate such questions and many more. The current article describes some of the questions that can be addressed by SEM, presents some research examples within the existing L2 literature, and then provides examples of the incredible potential of SEM, cautions in its practice, and resources for further information.</p> </abstract>