Quantitative Psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods, and psychological measurement exist none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area.

Multilevel Analysis: An Overview and Some Contemporary Issues

Multilevel analysis: An overview and some contemporary issues

Human behavior occurs in context, and that context often matters in understanding and interpreting behavior. Multilevel models provide tools for statistical analysis in the presence of clustered or hierarchical data structures, as are common in the social sciences, and can be used to study (or alternatively control for) such structures. Examples of hierarchical structures include data in which students are nested within schools, patients are nested within clinics, or employees are nested within organizations. Multilevel models are also commonly referred to as hierarchical linear models or mixed effects models (Goldstein, 2003; Hox, 2002; Raudenbush and Bryk, 2002; Snijders and Bosker, 1999). The multilevel approach allows researchers to examine hypothesized relationships ...

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