Isbn: 9781606230176 - data analysis for experimental design (6 risultati)

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  • Lingua: Inglese

    Editore: The Guilford Press, 2008

    1606230174 / 9781606230176

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    Da: HPB-Red, Dallas, TX, U.S.A.HPB-Red

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    Condizione: Usato - Buono

    EUR 12,69

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    Hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

  • Lingua: Inglese

    Editore: The Guilford Press, 2008

    1606230174 / 9781606230176

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    Da: Books From California, Simi Valley, CA, U.S.A.Books From California

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    EUR 12,31

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    hardcover. Condizione: Good.

  • Lingua: Inglese

    Editore: The Guilford Press, 2008

    1606230174 / 9781606230176

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    Da: Half Price Books Inc., Dallas, TX, U.S.A.Half Price Books Inc.

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    Condizione: Usato - Molto buono

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    hardcover. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

  • Lingua: Inglese

    Editore: The Guilford Press, 2008

    1606230174 / 9781606230176

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    Da: Ammareal, Morangis, FranciaAmmareal

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    Condizione: Usato - Ottimo

    EUR 15,99

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    Hardcover. Condizione: Très bon. Ancien livre de bibliothèque avec équipements. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Ammareal gives back up to 15% of this item's net price to charity organizations.…

  • Lingua: Inglese

    Editore: Guilford Publications, New York, 2008

    1606230174 / 9781606230176

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    Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    EUR 135,34

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    Hardcover. Condizione: new. Hardcover. This engaging text shows how statistics and methods work together, demonstrating a variety of techniques for evaluating statistical results against the specifics of the methodological design. Richard Gonzalez elucidates the fundamental concepts involved in analysis of variance (ANOVA), focusing on single degree-of-freedom tests, or comparisons, wherever possible. Potential threats to making a causal inference from an experimental design are highlighted. With an emphasis on basic between-subjects and within-subjects designs, Gonzalez resists presenting the countless exceptions to the rule that make many statistics textbooks so unwieldy and confusing for students and beginning researchers. Ideal for graduate courses in experimental design or data analysis, the text may also be used by advanced undergraduates preparing to do senior theses.Useful pedagogical features include:*Discussions of the assumptions that underlie each statistical test *Sequential, step-by-step presentations of statistical procedures *End-of-chapter questions and exercises *Accessible writing style with scenarios and examples*A companion Web page /~gonzo/daed) offering data and syntax files in R and SPSS for the research examples used in the book, a short guide to SPSS syntax, and detailed course notes on each of the book's topics. Shows how statistics and methods work together, demonstrating a variety of techniques for evaluating statistical results against the specifics of the methodological design. This title elucidates the fundamental concepts involved in analysis of variance (ANOVA), focusing on single degree-of-freedom tests, or comparisons, wherever possible. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Lingua: Inglese

    Editore: Guilford Publications, New York, 2008

    1606230174 / 9781606230176

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    Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    EUR 166,52

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    Hardcover. Condizione: new. Hardcover. This engaging text shows how statistics and methods work together, demonstrating a variety of techniques for evaluating statistical results against the specifics of the methodological design. Richard Gonzalez elucidates the fundamental concepts involved in analysis of variance (ANOVA), focusing on single degree-of-freedom tests, or comparisons, wherever possible. Potential threats to making a causal inference from an experimental design are highlighted. With an emphasis on basic between-subjects and within-subjects designs, Gonzalez resists presenting the countless exceptions to the rule that make many statistics textbooks so unwieldy and confusing for students and beginning researchers. Ideal for graduate courses in experimental design or data analysis, the text may also be used by advanced undergraduates preparing to do senior theses.Useful pedagogical features include:*Discussions of the assumptions that underlie each statistical test *Sequential, step-by-step presentations of statistical procedures *End-of-chapter questions and exercises *Accessible writing style with scenarios and examples*A companion Web page /~gonzo/daed) offering data and syntax files in R and SPSS for the research examples used in the book, a short guide to SPSS syntax, and detailed course notes on each of the book's topics. Shows how statistics and methods work together, demonstrating a variety of techniques for evaluating statistical results against the specifics of the methodological design. This title elucidates the fundamental concepts involved in analysis of variance (ANOVA), focusing on single degree-of-freedom tests, or comparisons, wherever possible. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…