Research Design and Statistical Analysis

<p>This fully updated fourth edition of <i>Research Design and Statistical Analysis</i> provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The guiding philosophy is to provide a strong conceptual foundation so that readers can generalize to new situations they encounter in their research, including new developments in data analysis.</p><p>Key features include:</p><ul><li>Emphasis on basic concepts such as sampling distributions, design efficiency, and expected mean squares, relating the research designs and data analyses to the statistical models that underlie the analyses.</li><li>Detailed instructions on performing analysis using both R and SPSS.</li><li>Pedagogical exercises mapped to key topic areas to support students as they review their understanding and strive to reach their higher learning goals.</li></ul><p>Incorporating the analyses of both experimental and observational data, and with coverage that is broad and deep enough to serve a two-semester sequence, this textbook is suitable for researchers, graduate students and advanced undergraduates in psychology, education, and other behavioral, social, and health sciences.</p><p>The book is supported by a robust set of digital resources, including data files and exercises from the book in an Excel format for easy import into R or SPSS; R<em> </em>scripts for running example analysis and generating figures; and a solutions manual.</p>