George A. Morgan, Karen C. Barrett, Nancy L. Leech
IBM SPSS for Intermediate Statistics
Use and Interpretation
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George A. Morgan, Karen C. Barrett, Nancy L. Leech
IBM SPSS for Intermediate Statistics
Use and Interpretation
- Gebundenes Buch
IBM SPSS for Intermediate Statistics, sixth edition, is designed to help readers analyze and interpret research data using IBM SPSS.
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IBM SPSS for Intermediate Statistics, sixth edition, is designed to help readers analyze and interpret research data using IBM SPSS.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- 6. Auflage
- Seitenzahl: 412
- Erscheinungstermin: 22. Januar 2026
- Englisch
- Abmessung: 280mm x 210mm
- Gewicht: 453g
- ISBN-13: 9781032449098
- ISBN-10: 1032449098
- Artikelnr.: 73498056
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Taylor & Francis Ltd
- 6. Auflage
- Seitenzahl: 412
- Erscheinungstermin: 22. Januar 2026
- Englisch
- Abmessung: 280mm x 210mm
- Gewicht: 453g
- ISBN-13: 9781032449098
- ISBN-10: 1032449098
- Artikelnr.: 73498056
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Karen C. Barrett is a Professor Emerita of Human Development and Family Studies at Colorado State University, USA. Nancy L. Leech is a Professor of Research and Evaluation Methods in the School of Education and Human Development at the University of Colorado Denver, USA. George A. Morgan is an Emeritus Professor of Education and Human Development at Colorado State University, USA.
1. Introduction 2. Getting Data Ready for Analysis: Data Collection,
Coding, Exploration, and Transformation 3. Missing Data and Multiple
Imputation 4. Selecting and Interpreting Inferential Statistics 5. Several
Measures of Reliability 6. Factor Analysis and Principal Components
Analysis 7. Multiple Regression 8. Mediation, Moderation, and Canonical
Correlation 9. Logistic Regression and Discriminant Analysis 10. Factorial
ANOVA and ANCOVA 11. Repeated-Measures and Mixed ANOVAs 12. Multivariate
Analysis of Variance (MANOVA) 13. Multilevel Linear Modeling/Hierarchical
Linear Modeling; Appendices A. Review of Basic Statistics by Marisha
Lamont-Manfre and Patrick Munnelly B. Writing Research Problems and
Questions C. Answers to Odd Interpretation Questions D. For Further Reading
Coding, Exploration, and Transformation 3. Missing Data and Multiple
Imputation 4. Selecting and Interpreting Inferential Statistics 5. Several
Measures of Reliability 6. Factor Analysis and Principal Components
Analysis 7. Multiple Regression 8. Mediation, Moderation, and Canonical
Correlation 9. Logistic Regression and Discriminant Analysis 10. Factorial
ANOVA and ANCOVA 11. Repeated-Measures and Mixed ANOVAs 12. Multivariate
Analysis of Variance (MANOVA) 13. Multilevel Linear Modeling/Hierarchical
Linear Modeling; Appendices A. Review of Basic Statistics by Marisha
Lamont-Manfre and Patrick Munnelly B. Writing Research Problems and
Questions C. Answers to Odd Interpretation Questions D. For Further Reading
1. Introduction 2. Getting Data Ready for Analysis: Data Collection,
Coding, Exploration, and Transformation 3. Missing Data and Multiple
Imputation 4. Selecting and Interpreting Inferential Statistics 5. Several
Measures of Reliability 6. Factor Analysis and Principal Components
Analysis 7. Multiple Regression 8. Mediation, Moderation, and Canonical
Correlation 9. Logistic Regression and Discriminant Analysis 10. Factorial
ANOVA and ANCOVA 11. Repeated-Measures and Mixed ANOVAs 12. Multivariate
Analysis of Variance (MANOVA) 13. Multilevel Linear Modeling/Hierarchical
Linear Modeling; Appendices A. Review of Basic Statistics by Marisha
Lamont-Manfre and Patrick Munnelly B. Writing Research Problems and
Questions C. Answers to Odd Interpretation Questions D. For Further Reading
Coding, Exploration, and Transformation 3. Missing Data and Multiple
Imputation 4. Selecting and Interpreting Inferential Statistics 5. Several
Measures of Reliability 6. Factor Analysis and Principal Components
Analysis 7. Multiple Regression 8. Mediation, Moderation, and Canonical
Correlation 9. Logistic Regression and Discriminant Analysis 10. Factorial
ANOVA and ANCOVA 11. Repeated-Measures and Mixed ANOVAs 12. Multivariate
Analysis of Variance (MANOVA) 13. Multilevel Linear Modeling/Hierarchical
Linear Modeling; Appendices A. Review of Basic Statistics by Marisha
Lamont-Manfre and Patrick Munnelly B. Writing Research Problems and
Questions C. Answers to Odd Interpretation Questions D. For Further Reading







