Advancing quantitative methods in second language research

By picking up where introductory texts have left off, Advancing Quantitative Methods in Second Language Research provides a “second course” on quantitative methods and enables second language researchers to both address questions currently posed in the field in new and dynamic ways and to address novel or more complex questions as well. In line with the practical focus of the book, each chapter provides the conceptual motivation for and step-by-step guidance needed to carry out a relatively advanced, novel, and/or underused statistical technique. Using readily available statistical software packages such as SPSS, the chapters walk the reader from conceptualization through to output and interpretation of a range of advanced statistical procedures such as bootstrapping, mixed effects modeling, cluster analysis, discriminant function analysis, and meta-analysis. This practical hands-on volume equips researchers in applied linguistics and second language acquisition (SLA) with the necessary tools and knowledge to engage more fully with key issues and problems in SLA and to work toward expanding the statistical repertoire of the field.