Eliot R. Smith

Charles M. Judd

Louise H. Kidder

This multi-disciplinary research methods text conveys the underlying logic that is common to all research design and analysis, as well as the practical aspects of conducting research. It emphasises the importance of using multiple methods for the stongest causal inferences.

Research Methods in Social Relations

Harry T. Reis

This volume, first published in 2000, provides an overview of research methods in contemporary social psychology.

Handbook of Research Methods in Social and Personality Psychology

This indispensible sourcebook covers conceptual and practical issues in research design in the field of social and personality psychology. Key experts address specific methods and areas of research, contributing to a comprehensive overview of contemporary practice. This updated and expanded second edition offers current commentary on social and personality psychology, reflecting the rapid development of this dynamic area of research over the past decade. With the help of this up-to-date text, both seasoned and beginning social psychologists will be able to explore the various tools and methods available to them in their research as they craft experiments and imagine new methodological possibilities.

Adam's Trip

Olivier Corneille

Vincent Yzerbyt

This groundbreaking work by leading social psychologists, who have all contributed in important ways to the psychology of group perception, focuses in particular on three interrelated issues: (1) whether groups are seen to be diverse or relatively homogeneous; (2) whether groups are seen as real and stable or only transitory and ephemeral; and (3) whether group membership derives from some essential quality of the members or rather is based on social constructions.

The Psychology of Group Perception

Gary H. McClelland

Carey S. Ryan

This completely rewritten classic text features many new examples, insights and topics including mediational, categorical, and multilevel models. Substantially reorganized, this edition provides a briefer, more streamlined examination of data analysis. Noted for its model-comparison approach and unified framework based on the general linear model, the book provides readers with a greater understanding of a variety of statistical procedures. This consistent framework, including consistent vocabulary and notation, is used throughout to develop fewer but more powerful model building techniques. The authors show how all analysis of variance and multiple regression can be accomplished within this framework. The model-comparison approach provides several benefits: It strengthens the intuitive understanding of the material thereby increasing the ability to successfully analyze data in the future It provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of questions It reduces the number of statistical techniques that must be memorized It teaches readers how to become data analysts instead of statisticians. The book opens with an overview of data analysis. All the necessary concepts for statistical inference used throughout the book are introduced in Chapters 2 through 4. The remainder of the book builds on these models. Chapters 5 - 7 focus on regression analysis, followed by analysis of variance (ANOVA), mediational analyses, non-independent or correlated errors, including multilevel modeling, and outliers and error violations. The book is appreciated by all for its detailed treatment of ANOVA, multiple regression, nonindependent observations, interactive and nonlinear models of data, and its guidance for treating outliers and other problematic aspects of data analysis. Intended for advanced undergraduate or graduate courses on data analysis, statistics, and/or quantitative methods taught in psychology, education, or other behavioral and social science departments, this book also appeals to researchers who analyze data. A protected website featuring additional examples and problems with data sets, lecture notes, PowerPoint presentations, and class-tested exam questions is available to adopters. This material uses SAS but can easily be adapted to other programs. A working knowledge of basic algebra and any multiple regression program is assumed.

A Model Comparison Approach, Second Edition

Data Analysis

Focusing on the issue of how social groups are perceived & thought about, this text considers three issues: are groups seen as diverse or homogenous, as real & stable or transitory, & does group membership derive from some essential quality of the members or is it based on social construction?.

Charles M. Judd

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