IBM SPSS for Introductory Statistics: Use and Interpretation, Fourth Edition

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Taylor & Francis, Feb 14, 2011 - Education - 243 pages
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"Designed to help students analyze and interpret research data using IBM SPSS, this book describes the use of statistics in user-friendly, non-technical language to show readers how to choose the appropriate statistic based on the design, interpret output, and write about the results. The authors prepare readers for all of the steps in the research process, from design and data collection, to writing about the results. Discussions of writing about outputs, data entry and checking, reliability assessment, testing assumptions, and computing descriptive and inferential parametric and nonparametric statistics are included. SPSS syntax, along with the output, is provided for those who prefer this format"--Provided by publisher.

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CHAPTER 1 Variables Research Problems and Questions
CHAPTER 2 Data Coding Entry and Checking
CHAPTER 3 Measurement and Descriptive Statistics
CHAPTER 4 Understanding Your Data and Checking Assumptions
CHAPTER 5 Data File Management and Writing About Descriptive Statistics
CHAPTER 6 Selecting and Interpreting Inferential Statistics
CHAPTER 7 CrossTabulation ChiSquare and Nonparametric Measures of Association
CHAPTER 8 Correlation and Regression
CHAPTER 10 Analysis of Variance ANOVA
Getting Started and Other Useful SPSS Procedures
Writing Research Problems and Questions
Making Tables and Figures
Answers to Odd Numbered Interpretation Questions
For Further Reading

CHAPTER 9 Comparing Two Groups With t Tests and Similar Nonparametric Tests

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About the author (2011)

George A. Morgan is an 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 text books 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 children s motivation to master challenging tasks.

Nancy L. Leech is an Associate Professor of Education and Human Development at University of Colorado Denver. She received her Ph.D. in Education with an emphasis on research and statistics from Colorado State University. She currently teaches master s and PhD level courses in research, statistics and measurement. Her area of research is promoting new developments and better understanding in applied qualitative, quantitative, and mixed methodologies.

Gene W. Gloeckner is an Associate Professor of Education at Colorado State University. He received his Ph.D. in education from The Ohio State University. Much of his writing has focused on research methods issues in both qualitative and quantitative research areas. He has been teaching research design and statistics for more than 25 years. He has advised many doctoral students (over 20) and has served as the research methodologist on many doctoral committees.

Karen C. Barrett is a Professor of Human Development and Family Studies with a joint appointment in Psychology at Colorado State University. She received her Ph.D. in psychology 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.?

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