SPSS for Intermediate Statistics: Use and Interpretation

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Lawrence Erlbaum, 2005 - Education - 240 pages
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Designed to help students learn to analyze and interpret research data using intermediate statistics, this new edition features SPSS 12.0 for Windows, but can also be used with earlier versions. Each chapter introduces several related statistics and provides instructions on how to run them and interpret the outputs. The authors describe the use and interpretation of these statistics in user-friendly, non-technical language. The authors demonstrate how to choose the appropriate statistic based on the research design, how to use SPSS to answer research questions, and how to interpret and write about SPSS outputs. SPSS for Intermediate Statistics, 2/e provides unique learning tools.
* the key SPSS windows needed to perform the analyses;
* complete outputs of what students can expect to produce with call-out boxes to highlight what to focus on;
* interpretation sections and questions to help students better understand the output;
* flow charts and tables to help select an appropriate statistic;
* lab assignments organized in a manner similar to the way in which students proceed when they prepare their data for a research project;
* new extra SPSS problems for practice in running SPSS;
* a quick reference guide to SPSS procedure and appendices on getting started with SPSS and creating APA tables and figures. Features new to this edition include:
* a discussion of effect size, as well as statistical significance in the interpretation sections, consistent with the new APA guidelines;
* new and more in-depth discussion of exploratory data analysis, testing assumptions, reliability assessment, principal components and factor analysis, multiple regression, logistic regression, factorial repeated measures ANOVA, MANOVA, and canonical correlation;
* two data sets now available on the book's CD; and enclosed with the book; and
* syntax, along with the outputs, for those who prefer this format. This book is an ideal supplement for advanced courses in intermediate statistics or research methods found in departments of psychology, education, and other social and health sciences.

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About the author (2005)

Nancy Leechis an Associate Professor at the University of Colorado Denver. She received her Ph.D. in education with an emphasis on research and statistics from Colorado State University in 2002. Dr. Leech is currently teaching graduate level courses in research, statistics, and measurement. Her area of research is promoting new developments and better understandings in applied qualitative, quantitative, and mixed methodologies.

Karen C. Barrettis Professor of Human Development and Family Studies with a joint appointment in Psychology at Colorado State University. She received her Ph.D. from the University of Denver. She is Assistant Department head of HDFS and teaches graduate level research methods and statistics courses. Her research regards emotion regulation and its influence on development; social emotions such as guilt and shame; and family and cultural influences on emotions.

George A. Morganis Emeritus Professor of Education and Human Development at Colorado State University. He received his Ph.D. in child development and psychology from Cornell University. In addition to writing textbooks on SPSS and research methods, he has advised many PhD students in education and related fields. Over the past 35 years, he has conducted a program of research on childrenā€™s motivation to master challenging tasks.

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