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Sinopsis
Reading and Understanding Multivariate Statistics helps researchers, students, and other readers of research to understand the purpose and presentation of multivariate techniques. The editors focus on providing a conceptual understanding of the meaning of the statistics in the context of the research questions and results they leave the subject of how to perform multivariate analysis to other texts.
The book presents an overview of multivariate statistics and their place in research. It describes the appropriate context for-and the types of empirical questions that can best be addressed by-each technique or family of techniques, as well as the distribution assumptions that must be met for the analysis to be meaningful.
The most commonly used multivariate techniques are examined in detail: multiple regression and correlation path analysis principal-components analysis exploratory and confirmatory factor analysis multidimensional scaling analysis of cross-classified data logistic regression multivariate analysis of variance (MANOVA) discriminant analysis meta-analysis.
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Reseña del editor
This text aims to help researchers and students to understand the purpose and presentation of multivariate statistical techniques. The most commonly used techniques are described in detail, such as multiple regression and correlation and path analysis
Reseña del editor
The book presents an overview of multivariate statistics and their place in research. It describes the appropriate context for -- and the types of empirical questions that can best be addressed by -- each technique or family of techniques, as well as the distribution assumptions that must be met for the analysis to be meaningful. The most commonly used multivariate techniques are examined in detail: multiple regression and correlation, path analysis, principal-components analysis, exploratory and confirmatory factor analysis, multidimensional scaling, analysis of cross-classified data, logistic regression, multivariate an alysis of variance (MANOVA), discriminant analysis, and meta-analysis. Statistical notations are explained, underlying assumptions are described, and terms are defined clearly and understandably. Concepts and symbols are presented with minimal use of formulas and a generous use of real-world research examples. Each chapter also includes suggestions for additional reading and a glossary of statistical and related terms.
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Reading and Understanding Mult
Publicado por
American Psychological Association (APA), 1994
ISBN 10: 1557982732
ISBN 13: 9781557982735
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Reading and Understanding Mult
Publicado por
American Psychological Association (APA), 1994
ISBN 10: 1557982732
ISBN 13: 9781557982735
Antiguo o usado
Tapa blanda
Librería: SecondSale, Montgomery, IL, Estados Unidos de America
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Reading and Understanding Mult
Publicado por
American Psychological Association (APA), 1994
ISBN 10: 1557982732
ISBN 13: 9781557982735
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Librería: SecondSale, Montgomery, IL, Estados Unidos de America
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Reading and Understanding Multivariate Statistics
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American Psychological Association, 1994
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ISBN 13: 9781557982735
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Reading and Understanding Multivariate Statistics
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ISBN 13: 9781557982735
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Reading and Understanding Mult
Publicado por
American Psychological Association (APA), 1994
ISBN 10: 1557982732
ISBN 13: 9781557982735
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Reading & Understanding Multivariate Statistics
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American Psychological Association (APA), 1994
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ISBN 13: 9781557982735
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Reading & Understanding Multivariate Statistics
Publicado por
American Psychological Association (APA), 1994
ISBN 10: 1557982732
ISBN 13: 9781557982735
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