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Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique - Couverture rigide
Synopsis
Now in its second edition, this book provides a focused, comprehensive overview of both categorical and nonparametric statistics, offering a conceptual framework for choosing the most appropriate test in various scenarios. The book's clear explanations and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of these techniques. Basic statistics and probability are reviewed for those needing a refresher with mathematical derivations placed in optional appendices.
Highlights include the following:
- Three chapters co-authored with Edgar Brunner address modern nonparametric techniques, along with accompanying R code.
- Unique coverage of both categorical and nonparametric statistics better prepares readers to select the best technique for particular research projects.
- Designed to be used with most statistical packages, clear examples of how to use the tests in SPSS, R, and Excel foster conceptual understanding.
- Exploring the Concept boxes integrated throughout prompt students to draw links between the concepts to deepen understanding.
- Fully developed Instructor and Student Resources featuring datasets for the book's problems and a guide to R, and for the instructor PowerPoints, author's syllabus, and answers to even-numbered problems.
Intended for graduate or advanced undergraduate courses in categorical and nonparametric statistics taught in psychology, education, human development, sociology, political science, and other social and life sciences.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
E. Michael Nussbaum is a Professor of Educational Psychology at The University of Nevada, Las Vegas, USA. Dr. Nussbaum holds a PhD from Stanford University and an MPP from the University of California, Berkeley. He is the author of numerous research publications and serves on the editorial boards of the Journal of Educational Psychology and the Educational Psychologist.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique (Multivariate Applications Series)
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Categorical and Nonparametric Data Analysis : Choosing the Best Statistical Technique
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Categorical and Nonparametric Data Analysis : Choosing the Best Statistical Technique
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Categorical and Nonparametric Data Analysis (Hardcover)
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Taylor & Francis Ltd, London, 2024
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Hardcover. Etat : new. Hardcover. Now in its second edition, this book provides a focused, comprehensive overview of both categorical and nonparametric statistics, offering a conceptual framework for choosing the most appropriate test in various scenarios. The books clear explanations and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of these techniques. Basic statistics and probability are reviewed for those needing a refresher with mathematical derivations placed in optional appendices.Highlights include the following: Three chapters co-authored with Edgar Brunner address modern nonparametric techniques, along with accompanying R code. Unique coverage of both categorical and nonparametric statistics better prepares readers to select the best technique for particular research projects. Designed to be used with most statistical packages, clear examples of how to use the tests in SPSS, R, and Excel foster conceptual understanding. Exploring the Concept boxes integrated throughout prompt students to draw links between the concepts to deepen understanding. Fully developed Instructor and Student Resources featuring datasets for the book's problems and a guide to R, and for the instructor PowerPoints, author's syllabus, and answers to even-numbered problems.Intended for graduate or advanced undergraduate courses in categorical and nonparametric statistics taught in psychology, education, human development, sociology, political science, and other social and life sciences. Now in its second edition, this book provides a comprehensive overview of categorical and nonparametric statistics, offering a conceptual framework for choosing the most appropriate test in various scenarios. Basic statistics and probability are reviewed for those needing a refresher. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9780367702540
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Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique (Multivariate Applications Series)
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Categorical and Nonparametric Data Analysis
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Taylor & Francis Ltd Mai 2024, 2024
ISBN 10 : 0367702541
ISBN 13 : 9780367702540
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Now in its second edition, this book provides a focused, comprehensive overview of both categorical and nonparametric statistics, offering a conceptual framework for choosing the most appropriate test in various scenarios. The book's clear explanations and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of these techniques. Basic statistics and probability are reviewed for those needing a refresher with mathematical derivations placed in optional appendices.Highlights include the following:- Three chapters co-authored with Edgar Brunner address modern nonparametric techniques, along with accompanying R code.- Unique coverage of both categorical and nonparametric statistics better prepares readers to select the best technique for particular research projects.- Designed to be used with most statistical packages, clear examples of how to use the tests in SPSS, R,and Excel foster conceptual understanding.- Exploring the Concept boxes integrated throughout prompt students to draw links between the concepts to deepen understanding.- Fully developed Instructor and Student Resources featuring datasets for the book's problems and a guide to R, and for the instructor PowerPoints, author's syllabus, and answers to even-numbered problems.Intended for graduate or advanced undergraduate courses in categorical and nonparametric statistics taught in psychology, education, human development, sociology, political science, and other social and life sciences. 520 pp. Englisch. N° de réf. du vendeur 9780367702540
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Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique
Edité par
Taylor & Francis Ltd, 2024
ISBN 10 : 0367702541
ISBN 13 : 9780367702540
Neuf
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Categorical and Nonparametric Data Analysis (Hardcover)
Edité par
Taylor & Francis Ltd, London, 2024
ISBN 10 : 0367702541
ISBN 13 : 9780367702540
Neuf
Couverture rigide
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Hardcover. Etat : new. Hardcover. Now in its second edition, this book provides a focused, comprehensive overview of both categorical and nonparametric statistics, offering a conceptual framework for choosing the most appropriate test in various scenarios. The books clear explanations and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of these techniques. Basic statistics and probability are reviewed for those needing a refresher with mathematical derivations placed in optional appendices.Highlights include the following: Three chapters co-authored with Edgar Brunner address modern nonparametric techniques, along with accompanying R code. Unique coverage of both categorical and nonparametric statistics better prepares readers to select the best technique for particular research projects. Designed to be used with most statistical packages, clear examples of how to use the tests in SPSS, R, and Excel foster conceptual understanding. Exploring the Concept boxes integrated throughout prompt students to draw links between the concepts to deepen understanding. Fully developed Instructor and Student Resources featuring datasets for the book's problems and a guide to R, and for the instructor PowerPoints, author's syllabus, and answers to even-numbered problems.Intended for graduate or advanced undergraduate courses in categorical and nonparametric statistics taught in psychology, education, human development, sociology, political science, and other social and life sciences. Now in its second edition, this book provides a comprehensive overview of categorical and nonparametric statistics, offering a conceptual framework for choosing the most appropriate test in various scenarios. Basic statistics and probability are reviewed for those needing a refresher. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780367702540
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Categorical and Nonparametric Data Analysis : Choosing the Best Statistical Technique
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Categorical and Nonparametric Data Analysis: Choosing the Best Statistical Technique (Multivariate Applications Series)
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