Isbn: 9781032592107 - research design and statistical analysis (19 resultados)

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Condición: As New. Unread book in perfect condition.

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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Hardback. Condición: New. This fully updated fourth edition of Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The guiding philosophy is to provide a strong conceptual foundation so that readers can generalize to new situations they encounter in their research, including new developments in data analysis.Key features include:Emphasis on basic concepts such as sampling distributions, design efficiency, and expected mean squares, relating the research designs and data analyses to the statistical models that underlie the analyses.Detailed instructions on performing analysis using both R and SPSS.Pedagogical exercises mapped to key topic areas to support students as they review their understanding and strive to reach their higher learning goals.Incorporating the analyses of both experimental and observational data, and with coverage that is broad and deep enough to serve a two-semester sequence, this textbook is suitable for researchers, graduate students and advanced undergraduates in psychology, education, and other behavioral, social, and health sciences.The book is supported by a robust set of digital resources, including data files and exercises from the book in an Excel format for easy import into R or SPSS; R scripts for running example analysis and generating figures; and a solutions manual.For student resources, view the Support Material tab.…

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Hardcover. Condición: Brand New. 4th edition. 936 pages. 10.00x7.00x10.00 inches. In Stock.

Hardback. Condición: New. This fully updated fourth edition of Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The guiding philosophy is to provide a strong conceptual foundation so that readers can generalize to new situations they encounter in their research, including new developments in data analysis.Key features include:Emphasis on basic concepts such as sampling distributions, design efficiency, and expected mean squares, relating the research designs and data analyses to the statistical models that underlie the analyses.Detailed instructions on performing analysis using both R and SPSS.Pedagogical exercises mapped to key topic areas to support students as they review their understanding and strive to reach their higher learning goals.Incorporating the analyses of both experimental and observational data, and with coverage that is broad and deep enough to serve a two-semester sequence, this textbook is suitable for researchers, graduate students and advanced undergraduates in psychology, education, and other behavioral, social, and health sciences.The book is supported by a robust set of digital resources, including data files and exercises from the book in an Excel format for easy import into R or SPSS; R scripts for running example analysis and generating figures; and a solutions manual.For student resources, view the Support Material tab.…

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This fully updated fourth edition of Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The guiding philosophy is to provide a strong conceptual foundation so that readers can generalize to new situations they encounter in their research, including new developments in data analysis.Key features include:Emphasis on basic concepts such as sampling distributions, design efficiency, and expected mean squares, relating the research designs and data analyses to the statistical models that underlie the analyses.Detailed instructions on performing analysis using both R and SPSS.Pedagogical exercises mapped to key topic areas to support students as they review their understanding and strive to reach their higher learning goals.Incorporating the analyses of both experimental and observational data, and with coverage that is broad and deep enough to serve a two-semester sequence, this textbook is suitable for researchers, graduate students and advanced undergraduates in psychology, education, and other behavioral, social, and health sciences.The book is supported by a robust set of digital resources, including data files and exercises from the book in an Excel format for easy import into R or SPSS; R scripts for running example analysis and generating figures; and a solutions manual.For student resources, view the Support Material tab 836 pp. Englisch.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Caren M. Rotello is Professor Emerita at the University of Massachusetts Amherst. She received her Ph.D. in Psychology from Stanford University.Jerome L. Myers is Professor Emeritus at the University of Massachusetts Amherst. He rece.…

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This fully updated fourth edition of Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The guiding philosophy is to provide a strong conceptual foundation so that readers can generalize to new situations they encounter in their research, including new developments in data analysis.Key features include:Emphasis on basic concepts such as sampling distributions, design efficiency, and expected mean squares, relating the research designs and data analyses to the statistical models that underlie the analyses.Detailed instructions on performing analysis using both R and SPSS.Pedagogical exercises mapped to key topic areas to support students as they review their understanding and strive to reach their higher learning goals.Incorporating the analyses of both experimental and observational data, and with coverage that is broad and deep enough to serve a two-semester sequence, this textbook is suitable for researchers, graduate students and advanced undergraduates in psychology, education, and other behavioral, social, and health sciences.The book is supported by a robust set of digital resources, including data files and exercises from the book in an Excel format for easy import into R or SPSS; R scripts for running example analysis and generating figures; and a solutions manual.For student resources, view the Support Material tab.…