Accessibility navigation


An overview of mixed-effects statistical models for second language researchers

Cunnings, I. (2012) An overview of mixed-effects statistical models for second language researchers. Second Language Research, 28 (3). pp. 369-382. ISSN 1477-0326

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1177/0267658312443651

Abstract/Summary

As in any field of scientific inquiry, advancements in the field of second language acquisition (SLA) rely in part on the interpretation and generalizability of study findings using quantitative data analysis and inferential statistics. While statistical techniques such as ANOVA and t-tests are widely used in second language research, this review article provides a review of a class of newer statistical models that have not yet been widely adopted in the field, but have garnered interest in other fields of language research. The class of statistical models called mixed-effects models are introduced, and the potential benefits of these models for the second language researcher are discussed. A simple example of mixed-effects data analysis using the statistical software package R (R Development Core Team, 2011) is provided as an introduction to the use of these statistical techniques, and to exemplify how such analyses can be reported in research articles. It is concluded that mixed-effects models provide the second language researcher with a powerful tool for the analysis of a variety of types of second language acquisition data.

Item Type:Article
Refereed:Yes
Divisions:No Reading authors. Back catalogue items
Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Department of Psychology
Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Department of Clinical Language Sciences
Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Language and Cognition
ID Code:34389
Publisher:Sage

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation