SPSS for Introductory Statistics: Use and Interpretation

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This book is designed to help students learn to analyze and interpret research data using basic statistics. The new edition features SPSS 12.0 for Windows, but can also be used with versions 10 and 11. Each chapter introduces a statistic and provides instructions on how to run it, interpret the output, and run a variation of the statistic. The authors describe the use and interpretation of these statistics in a user-friendly, nontechnical, Jargon-free language. The examples use real data from the modified high school and beyond (HSB) and college student datasets, available on the CD in the back of the book. The authors' goal is to demonstrate: How to choose the appropriate statistic based on the research design. How to interpret SPSS outputs. How to use SPSS to answer research questions. How to write about the outputs in the results section of a research paper.SPSS for Introductory Statistics, 2/e provides unique learning tools: 1) All of the key SPSS windows that students need to perform the statistical analyses, especially helpful to "visual" learner, are included. 2) Complete outputs for the analyses performed give students the total picture of what they can expect to produce. 3) Call-out boxes on the actual output highlight the parts to focus on and what they mean. 4) Interpretation sections help students better understand the output and provide tips on how to write the results for a paper. 5) Interpretation questions (many of which are new) stimulate thinking about the input and its meaning. 6) NEW extra problems give the reader more practice in running and interpreting SPSS. 7) Lab Assignments are organized in a manner similar to the way in which students proceed when they prepare their data for a research project.8) Three essential appendices help the novice get started--A NEW Quick Reference Guide to SPSS procedures, how to write research questions, and a NEW section on how to create APA tables and figures. Features new to this edition include: a discussion of effect size in each interpretation section to be consistent with the new APA guidelines; discussions of assumptions when statistics are first introduced to reinforce the consideration of the particular problem at hand when selecting a statistic; a NEW data set available on a CD in the back of the book, with data as it is actually displayed in a completed questionnaire, along with built-in problematic responses, to make students more sensitive to checking data before they do the analyses;Increased emphasis on descriptive and non-parametric statistics, testing assumptions, reliability assessment, and one-way ANOVA and t-tests; SPSS syntax and a quick reference guide on how to use it, along with the outputs, for those who prefer this format; and an Instructor's Manual CD available to adopters, featuring PowerPoint slides, solutions to the even-numbered problems, and answers to the new extra problems. An ideal supplement for advanced undergraduate or graduate courses in basic statistics or research methods found in departments of psychology, education, and other social and health sciences. Access to SPSS and familiarity with Windows is all that is needed to use this book. (publisher)

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About the author (2004)

George Morgan has taught research methods and applied statistics to graduate students in education at Colorado State. He received his Ph.D. in child development and psychology from Cornell University. In addition to writing textbooks on SPSS and research methods, he currently advises students on their dissertation research. Over the last 30 years, he conducted a program of research on children's motivation to master challenging tasks.
Nancy L. Leech is Assistant Professor in the Division of Educational Psychology at the University of Colorado at Denver. She earned her Ph.D. in education with a specialization in research and statistics at Colorado State University. She teaches graduate courses in research methods and statistics in the Research, Evaluation and Measurement program. Her research topics include willingness to seek counseling, mentoring in higher education, and gender and equity issues.
Gene Gloeckner, Associate Professor of Education and Human Resource Studies, has been teaching research design and statistics for more than 20 years. He received his Ph.D. from the Ohio State University. He has written and presented on a variety of topics related to research and statistics.
Karen Caplovitz Barrett is Associate Professor of Human Development & Family Studies at Colorado State University. She received her Ph.D. in 1984 in developmental psychology from the University of Denver. Dr. Barrett's research is focused on emotional development from a functionalist perspective, especially emotion regulation and the development of social emotions, such as guilt and shame. She teaches research methods and statistics at the graduate level, as well as courses in social and emotional development and nature versus nurture.

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