George A. Morgan (USA Colorado State University), Karen C. Barrett (USA Colorado State University), Nancy L. Leech (USA University of Colorado at Denver)
IBM SPSS for Introductory Statistics
Use and Interpretation, Sixth Edition
George A. Morgan (USA Colorado State University), Karen C. Barrett (USA Colorado State University), Nancy L. Leech (USA University of Colorado at Denver)
IBM SPSS for Introductory Statistics
Use and Interpretation, Sixth Edition
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IBM SPSS is designed to help students learn how to analyze and interpret research. This comprehensive, user-friendly book, written in easy-to-understand language, shows readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately
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IBM SPSS is designed to help students learn how to analyze and interpret research. This comprehensive, user-friendly book, written in easy-to-understand language, shows readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- 6 ed
- Seitenzahl: 268
- Erscheinungstermin: 15. Juli 2019
- Englisch
- Abmessung: 280mm x 210mm x 15mm
- Gewicht: 674g
- ISBN-13: 9781138578210
- ISBN-10: 1138578215
- Artikelnr.: 57382924
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
- Verlag: Taylor & Francis Ltd
- 6 ed
- Seitenzahl: 268
- Erscheinungstermin: 15. Juli 2019
- Englisch
- Abmessung: 280mm x 210mm x 15mm
- Gewicht: 674g
- ISBN-13: 9781138578210
- ISBN-10: 1138578215
- Artikelnr.: 57382924
- Herstellerkennzeichnung
- Books on Demand GmbH
- In de Tarpen 42
- 22848 Norderstedt
- info@bod.de
- 040 53433511
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 Questions
Chapter 2 - Data Coding, Entry, and Transformation
Chapter 3 - Measurement and Descriptive Statistics
Chapter 4 - Understanding Your Data and Checking Assumptions
Chapter 5 - Selecting and Interpreting Inferential Statistics
Chapter 6 - Methods to Provide Evidence for Reliability and Validity
Chapter 7 - Cross-Tabulation, Chi-Square, and Nonparametric Measures of
Association
Chapter 8 - Correlation and Regression
Chapter 9 - Comparing Groups with t Tests, Analysis of Variance (ANOVA),
and Similar Nonparametric Tests
Appendices
For Further Reading
Index
Chapter 1 - Variables, Research Problems, and Questions
Chapter 2 - Data Coding, Entry, and Transformation
Chapter 3 - Measurement and Descriptive Statistics
Chapter 4 - Understanding Your Data and Checking Assumptions
Chapter 5 - Selecting and Interpreting Inferential Statistics
Chapter 6 - Methods to Provide Evidence for Reliability and Validity
Chapter 7 - Cross-Tabulation, Chi-Square, and Nonparametric Measures of
Association
Chapter 8 - Correlation and Regression
Chapter 9 - Comparing Groups with t Tests, Analysis of Variance (ANOVA),
and Similar Nonparametric Tests
Appendices
For Further Reading
Index
Preface
Chapter 1 - Variables, Research Problems, and Questions
Chapter 2 - Data Coding, Entry, and Transformation
Chapter 3 - Measurement and Descriptive Statistics
Chapter 4 - Understanding Your Data and Checking Assumptions
Chapter 5 - Selecting and Interpreting Inferential Statistics
Chapter 6 - Methods to Provide Evidence for Reliability and Validity
Chapter 7 - Cross-Tabulation, Chi-Square, and Nonparametric Measures of
Association
Chapter 8 - Correlation and Regression
Chapter 9 - Comparing Groups with t Tests, Analysis of Variance (ANOVA),
and Similar Nonparametric Tests
Appendices
For Further Reading
Index
Chapter 1 - Variables, Research Problems, and Questions
Chapter 2 - Data Coding, Entry, and Transformation
Chapter 3 - Measurement and Descriptive Statistics
Chapter 4 - Understanding Your Data and Checking Assumptions
Chapter 5 - Selecting and Interpreting Inferential Statistics
Chapter 6 - Methods to Provide Evidence for Reliability and Validity
Chapter 7 - Cross-Tabulation, Chi-Square, and Nonparametric Measures of
Association
Chapter 8 - Correlation and Regression
Chapter 9 - Comparing Groups with t Tests, Analysis of Variance (ANOVA),
and Similar Nonparametric Tests
Appendices
For Further Reading
Index