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Visit sagepub.com to explore our complete catalog and for table of contents information. 61 TEXTBOOKS integrative StatiSticS for the Social & Behavioral ScienceS Renee R. Ha, University of Washington • James C. Ha, University of Washington Designed to engage students and lower their "fear factor," integrative Statistics for the Social and Behavioral Sciences is a concise, user-friendly text that prepares students to use statistics in the real world. Providing depth and breadth of statistical tests, the text focuses on choosing the appropriate statistical analysis, and shows how to interpret the output and present the results. CONTENTS PART I: Descriptive Statistics / 1. Introduction to Statistics: What Are You Getting Into? / 2. Getting Started With Statistics / 3. Frequency Distributions and Graphing / 4. The Mean and Standard Deviation / 5. The Normal Distribution, Standardized Scores, and Probability PART II: Introduction to Hypothesis Testing / 6. Sampling Distribution of the Mean and the Single-Sample z Statistic / 7. Inferential Statistics / 8. Single-Sample Tests / 9. Two-Sample Tests PART III: Additional Hypothesis Tests / 10. Analysis of Variance (ANOVA) / 11. Complex ANOVA Designs / 12. Correlation and Regression / 13. General Linear Model / 14. Nonparametric Tests / 15. Review PAPerbAck ISbn: 978-1-4129-8744-8 • ©2012 • 432 PAgeS • • intermediate/advanced Statistics An IntroductIon to mAtlAb for behAvIorAl reSeArcherS Christopher R. Madan MATLAB is a powerful data analysis program, but many behavioral science researchers fi nd it too daunting to learn and use. An introduction to mATlAB for Behavioral researchers is an easy-to-understand, hands-on guide for behavioral researchers who have no prior programming experience. Written in a conversational and non-intimidating style, the author walks students—step by step—through analyzing real experimental data. Topics covered include the basics of programming, the implementation of simple behavioral analyses, and how to make publication-ready fi gures. More advanced topics such as pseudo-randomization of trial sequences to meet specifi ed criteria and working with psycholinguistic data are also covered. Interesting behavioral science examples and datasets from published studies, such as visualizing fi xation patterns in eye-tracking studies and animal search behavior in two-dimensional space, help develop an intuition for data analysis, which is essential and can only be developed when working with real research problems and real data. CONTENTS 1. The Basics / 2. Data, Meet MATLAB / 3. Basic Analyses / 4. Making Figures / 5. Automating Your Analyses / 6. Debug and Optimize / 7. Elementary Statistics / 8. Putting it All Together / 9. The Final Chapter PAPerbAck ISbn: 978-1-4522-5540-8 • ©2014 • 280 PAgeS • methodS of meta-analySiS: Correcting Error and Bias in Research Findings third edition Frank L. Schmidt, University of Iowa • John E. Hunter, Michigan State University Designed to provide researchers clear and informative insight into techniques of meta-analysis, the Third Edition of methods of meta-Analysis: Correcting Error and Bias in research findings is the most comprehensive text on meta-analysis available today. It is the only book that presents a full and usable treatment of the role of study artifacts in distorting study results, as well as methods for correcting results for such biases and errors. It has been revised to cover the newest developments in meta-analysis methods, evaluation, correction, and more. This reader-friendly book is the defi nitive resource on meta-analysis. CONTENTS PART I: INTRODUCTION TO META-ANALYSIS / 1. Integrating Research Finding Across Studies / 2. Study Artifacts and Their Impact on Study Outcomes / PART II: META-ANALYSIS OF CORRELATIONS / 3. Meta-Analysis of Correlations Corrected Individually for Artifacts / 4. Meta-Analysis of Correlations Using Artifact Distributions / 5. Technical Questions In Meta-Analysis of Correlations / PART III: META-ANALYSIS OF ExPERIMENTAL EFFECTS AND OTHER DICHOTOMOUS COMPARISONS / 6. Treatment Effects: Experimental Artifacts and Their Impact / 7. Meta- Analysis Methods for d Values / 8. Technical Questions in Meta-Analysis of d Values / PART IV: GENERAL ISSUES IN META-ANALYSIS / 9. General Technical Issues in Meta-Analysis / 10. Cumulation of Findings Within Studies / 11. Different Meta-Analysis Methods and Related Software / 12. Locating, Evaluating, Selecting, and Coding Studies and Presentation of Meta-Analysis Results / 13. Availability Bias, Source Bias, and Publication Bias in Meta-Analysis / 14. Summary of Psychometric Meta-Analysis hArdcover ISbn: 978-1-4522-8689-1 • februAry 2014 • 664 PAgeS NEW!