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First Edition
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Add to basketpaperback. Condition: Sehr gut. 662 Seiten; 9780415842365.2 Gewicht in Gramm: 1.
Published by Routledge (edition 2), 2024
ISBN 10: 103227607X ISBN 13: 9781032276076
Language: English
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Published by H N H International Limited, 2024
ISBN 10: 103227607X ISBN 13: 9781032276076
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 850 2nd edition NO-PA16APR2015-KAP.
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Published by H N H International Limited, 2024
ISBN 10: 103227607X ISBN 13: 9781032276076
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
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Published by H N H International Limited, 2024
ISBN 10: 103227607X ISBN 13: 9781032276076
Language: English
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 103227607X ISBN 13: 9781032276076
Language: English
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 103227607X ISBN 13: 9781032276076
Language: English
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Hardcover. Condition: new. Hardcover. This second edition of Applied Multivariate Statistical Concepts covers the classic and cutting-edge multivariate techniques used in todays research.Through clear writing and engaging pedagogy and examples using real data, Hahs-Vaughn walks students through the most used methods to learn why and how to apply each technique. A conceptual approach with a higher than usual text-to-formula ratio helps readers master key concepts so they can implement and interpret results generated by todays sophisticated software. Additional features include examples using real data from the social sciences; templates for writing research questions and results that provide manuscript-ready models; step-by-step instructions on using R and SPSS statistical software with screenshots and annotated output; clear coverage of assumptions, including how to test them and the effects of their violation; and conceptual, computational, and interpretative example problems that mirror the real-world problems students encounter in their studies and careers. This edition features expanded coverage of topics, such as propensity score analysis, path analysis and confirmatory factor analysis, and centering, moderation effects, and power as related to multilevel modelling. New topics are introduced, such as addressing missing data and latent class analysis, while each chapter features an introduction to using R statistical software. This textbook is ideal for courses on multivariate statistics/analysis/design, advanced statistics, and quantitative techniques, as well as for graduate students broadly in social sciences, education, and behavioral sciences. It also appeals to researchers with no training in multivariate methods. This second edition of Applied Multivariate Statistical Concepts covers the classic and cutting-edge multivariate techniques used in todays research. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 103227607X ISBN 13: 9781032276076
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
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Add to basketHardcover. Condition: new. Hardcover. This second edition of Applied Multivariate Statistical Concepts covers the classic and cutting-edge multivariate techniques used in todays research.Through clear writing and engaging pedagogy and examples using real data, Hahs-Vaughn walks students through the most used methods to learn why and how to apply each technique. A conceptual approach with a higher than usual text-to-formula ratio helps readers master key concepts so they can implement and interpret results generated by todays sophisticated software. Additional features include examples using real data from the social sciences; templates for writing research questions and results that provide manuscript-ready models; step-by-step instructions on using R and SPSS statistical software with screenshots and annotated output; clear coverage of assumptions, including how to test them and the effects of their violation; and conceptual, computational, and interpretative example problems that mirror the real-world problems students encounter in their studies and careers. This edition features expanded coverage of topics, such as propensity score analysis, path analysis and confirmatory factor analysis, and centering, moderation effects, and power as related to multilevel modelling. New topics are introduced, such as addressing missing data and latent class analysis, while each chapter features an introduction to using R statistical software. This textbook is ideal for courses on multivariate statistics/analysis/design, advanced statistics, and quantitative techniques, as well as for graduate students broadly in social sciences, education, and behavioral sciences. It also appeals to researchers with no training in multivariate methods. This second edition of Applied Multivariate Statistical Concepts covers the classic and cutting-edge multivariate techniques used in todays research. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 103227607X ISBN 13: 9781032276076
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
US$ 236.25
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Add to basketHardcover. Condition: new. Hardcover. This second edition of Applied Multivariate Statistical Concepts covers the classic and cutting-edge multivariate techniques used in todays research.Through clear writing and engaging pedagogy and examples using real data, Hahs-Vaughn walks students through the most used methods to learn why and how to apply each technique. A conceptual approach with a higher than usual text-to-formula ratio helps readers master key concepts so they can implement and interpret results generated by todays sophisticated software. Additional features include examples using real data from the social sciences; templates for writing research questions and results that provide manuscript-ready models; step-by-step instructions on using R and SPSS statistical software with screenshots and annotated output; clear coverage of assumptions, including how to test them and the effects of their violation; and conceptual, computational, and interpretative example problems that mirror the real-world problems students encounter in their studies and careers. This edition features expanded coverage of topics, such as propensity score analysis, path analysis and confirmatory factor analysis, and centering, moderation effects, and power as related to multilevel modelling. New topics are introduced, such as addressing missing data and latent class analysis, while each chapter features an introduction to using R statistical software. This textbook is ideal for courses on multivariate statistics/analysis/design, advanced statistics, and quantitative techniques, as well as for graduate students broadly in social sciences, education, and behavioral sciences. It also appeals to researchers with no training in multivariate methods. This second edition of Applied Multivariate Statistical Concepts covers the classic and cutting-edge multivariate techniques used in todays research. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Add to basketPaperback. Condition: Brand New. pap/psc edition. 647 pages. 9.75x7.00x1.25 inches. In Stock.
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Add to basketHardcover. Condition: Brand New. 2nd edition. 672 pages. 10.00x7.00x10.00 inches. In Stock.
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Condition: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.