George A. Morgan is 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, he has advised many Ph.D. students in education and related fields. He has conducted a program of research on children’s motivation to master challenging tasks.Karen C. Barrett is Professor of Human Development and Family Studies at Colorado State University, where she teaches research methods and statistics classes as well as classes in her research area. She is also Professor of Community & Behavioral Health at Colorado School of Public Health. She received her Ph.D. in developmental psychology from the University of Denver. Her research takes a functional approach to studying emotional and motivational processes and their influence on development; family and cultural influences on emotion regulation; and the development of social emotions such as guilt and shame.Nancy L. Leech is Professor of Research and Evaluation Methods at the University of Colorado, Denver. She teaches graduate level courses in research, statistics, and measurement. She received her Ph.D. in education with an emphasis on research and statistics from Colorado State University in 2002. Her area of research is promoting new developments and better understandings in applied, quantitative, qualitative, and mixed methods research.Gene W. Gloeckner is Professor, former IRB Chair, former School of Education Director, and one voyage Semester at Sea Dean. He received his Ph.D. and B.S. from The Ohio State University and M.S. from Colorado State University. Much of his writing and teaching has focused on issues in quantitative and mixed research methods. He has served as the academic advisor for over 60 doctoral graduates.

• Preface Chapter 1 - Variables, Research Problems, and QuestionsChapter 2 - Data Coding, Entry, and TransformationChapter 3 - Measurement and Descriptive StatisticsChapter 4 - Understanding Your Data and Checking AssumptionsChapter 5 - Selecting and Interpreting Inferential StatisticsChapter 6 – Methods to Provide Evidence for Reliability and ValidityChapter 7 - Cross-Tabulation, Chi-Square, and Nonparametric Measures of AssociationChapter 8 - Correlation and RegressionChapter 9 - Comparing Groups with t Tests, Analysis of Variance (ANOVA), and Similar Nonparametric TestsAppendicesFor Further ReadingIndex

"Written clearly and packed with illustrative examples, this book provides readers with a comprehensive yet easy-to-follow introduction to SPSS. It covers many of the descriptive and inferential analyses students will likely encounter in an entry-level course. Graduate and undergraduate students alike will appreciate the practical advice that it offers throughout. It provides clear guidance for developing research questions, selecting the appropriate test, and interpreting the results. This book is a must-have guide for any person who desires to learn the basics of SPSS software." - Janelle L. Gagnon, Mount Holyoke College, USA"I have been using the earlier versions of this book for many years. The students loved it. Using this book they found it stress-free to understand basic statistics. The book is easy to read even for non-native English speakers. The real research examples really help students to understand the most important statistical concepts. This revised edition includes updated screenshots and instructions for the most recent SPSS version. This is the best introductory SPSS book I have ever used or read." - Krisztián Józsa, Professor of Education, University of Szeged, Hungary

George A. Morgan is 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, he has advised many Ph.D. students in education and related fields. He has conducted a program of research on children’s motivation to master challenging tasks.Karen C. Barrett is Professor of Human Development and Family Studies at Colorado State University, where she teaches research methods and statistics classes as well as classes in her research area. She is also Professor of Community & Behavioral Health at Colorado School of Public Health. She received her Ph.D. in developmental psychology from the University of Denver. Her research takes a functional approach to studying emotional and motivational processes and their influence on development; family and cultural influences on emotion regulation; and the development of social emotions such as guilt and shame.Nancy L. Leech is Professor of Research and Evaluation Methods at the University of Colorado, Denver. She teaches graduate level courses in research, statistics, and measurement. She received her Ph.D. in education with an emphasis on research and statistics from Colorado State University in 2002. Her area of research is promoting new developments and better understandings in applied, quantitative, qualitative, and mixed methods research.Gene W. Gloeckner is Professor, former IRB Chair, former School of Education Director, and one voyage Semester at Sea Dean. He received his Ph.D. and B.S. from The Ohio State University and M.S. from Colorado State University. Much of his writing and teaching has focused on issues in quantitative and mixed research methods. He has served as the academic advisor for over 60 doctoral graduates.

• Preface Chapter 1 - Variables, Research Problems, and QuestionsChapter 2 - Data Coding, Entry, and TransformationChapter 3 - Measurement and Descriptive StatisticsChapter 4 - Understanding Your Data and Checking AssumptionsChapter 5 - Selecting and Interpreting Inferential StatisticsChapter 6 – Methods to Provide Evidence for Reliability and ValidityChapter 7 - Cross-Tabulation, Chi-Square, and Nonparametric Measures of AssociationChapter 8 - Correlation and RegressionChapter 9 - Comparing Groups with t Tests, Analysis of Variance (ANOVA), and Similar Nonparametric TestsAppendicesFor Further ReadingIndex

"Written clearly and packed with illustrative examples, this book provides readers with a comprehensive yet easy-to-follow introduction to SPSS. It covers many of the descriptive and inferential analyses students will likely encounter in an entry-level course. Graduate and undergraduate students alike will appreciate the practical advice that it offers throughout. It provides clear guidance for developing research questions, selecting the appropriate test, and interpreting the results. This book is a must-have guide for any person who desires to learn the basics of SPSS software." - Janelle L. Gagnon, Mount Holyoke College, USA"I have been using the earlier versions of this book for many years. The students loved it. Using this book they found it stress-free to understand basic statistics. The book is easy to read even for non-native English speakers. The real research examples really help students to understand the most important statistical concepts. This revised edition includes updated screenshots and instructions for the most recent SPSS version. This is the best introductory SPSS book I have ever used or read." - Krisztián Józsa, Professor of Education, University of Szeged, Hungary

George A. Morgan is 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, he has advised many Ph.D. students in education and related fields. He has conducted a program of research on children’s motivation to master challenging tasks.Karen C. Barrett is Professor of Human Development and Family Studies at Colorado State University, where she teaches research methods and statistics classes as well as classes in her research area. She is also Professor of Community & Behavioral Health at Colorado School of Public Health. She received her Ph.D. in developmental psychology from the University of Denver. Her research takes a functional approach to studying emotional and motivational processes and their influence on development; family and cultural influences on emotion regulation; and the development of social emotions such as guilt and shame.Nancy L. Leech is Professor of Research and Evaluation Methods at the University of Colorado, Denver. She teaches graduate level courses in research, statistics, and measurement. She received her Ph.D. in education with an emphasis on research and statistics from Colorado State University in 2002. Her area of research is promoting new developments and better understandings in applied, quantitative, qualitative, and mixed methods research.Gene W. Gloeckner is Professor, former IRB Chair, former School of Education Director, and one voyage Semester at Sea Dean. He received his Ph.D. and B.S. from The Ohio State University and M.S. from Colorado State University. Much of his writing and teaching has focused on issues in quantitative and mixed research methods. He has served as the academic advisor for over 60 doctoral graduates.

• Preface Chapter 1 - Variables, Research Problems, and QuestionsChapter 2 - Data Coding, Entry, and TransformationChapter 3 - Measurement and Descriptive StatisticsChapter 4 - Understanding Your Data and Checking AssumptionsChapter 5 - Selecting and Interpreting Inferential StatisticsChapter 6 – Methods to Provide Evidence for Reliability and ValidityChapter 7 - Cross-Tabulation, Chi-Square, and Nonparametric Measures of AssociationChapter 8 - Correlation and RegressionChapter 9 - Comparing Groups with t Tests, Analysis of Variance (ANOVA), and Similar Nonparametric TestsAppendicesFor Further ReadingIndex

"Written clearly and packed with illustrative examples, this book provides readers with a comprehensive yet easy-to-follow introduction to SPSS. It covers many of the descriptive and inferential analyses students will likely encounter in an entry-level course. Graduate and undergraduate students alike will appreciate the practical advice that it offers throughout. It provides clear guidance for developing research questions, selecting the appropriate test, and interpreting the results. This book is a must-have guide for any person who desires to learn the basics of SPSS software." - Janelle L. Gagnon, Mount Holyoke College, USA"I have been using the earlier versions of this book for many years. The students loved it. Using this book they found it stress-free to understand basic statistics. The book is easy to read even for non-native English speakers. The real research examples really help students to understand the most important statistical concepts. This revised edition includes updated screenshots and instructions for the most recent SPSS version. This is the best introductory SPSS book I have ever used or read." - Krisztián Józsa, Professor of Education, University of Szeged, Hungary