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Analysis of variance designs: a conceptual and computational approach with SPSS and SAS

By: Gamst, Glenn.
Contributor(s): Meyers, Lawrence S | Guarino, A. J.
Publisher: Cambridge Cambridge University Press 2008Description: xvi, 578 p.ISBN: 9780521874816.Subject(s): SPSS (Computer file) | SAS (Computer file) | Analysis of varianceDDC classification: 519.538 Summary: ANOVA (Analysis Of Variance) is one of the most fundamental and ubiquitous univariate methodologies employed by psychologists and other behavioural scientists. Analysis of Variance Designs presents the foundations of this experimental design, including assumptions, statistical significance, strength of effect, and the partitioning of the variance. Exploring the effects of one or more independent variables on a single dependent variable as well as two-way and three-way mixed designs, this textbook offers an overview of traditionally advanced topics for advanced undergraduates and graduate students in the behavioural and social sciences. Separate chapters are devoted to multiple comparisons (post hoc and planned/weighted), ANCOVA, and advanced topics. Each of the design chapters contains conceptual discussions, hand calculations, and procedures for the omnibus and simple effects analyses in both SPSS and the new click and shoot SAS Enterprise Guide interface. (Source: www.cambridge.org)
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Item type Current location Call number Status Date due Barcode
Books Vikram Sarabhai Library
519.538 G2A6 (Browse shelf) Checked out 26/12/2019 167015

Includes bibliographical references (p. 561-565) and indexes.

ANOVA (Analysis Of Variance) is one of the most fundamental and ubiquitous univariate methodologies employed by psychologists and other behavioural scientists. Analysis of Variance Designs presents the foundations of this experimental design, including assumptions, statistical significance, strength of effect, and the partitioning of the variance. Exploring the effects of one or more independent variables on a single dependent variable as well as two-way and three-way mixed designs, this textbook offers an overview of traditionally advanced topics for advanced undergraduates and graduate students in the behavioural and social sciences. Separate chapters are devoted to multiple comparisons (post hoc and planned/weighted), ANCOVA, and advanced topics. Each of the design chapters contains conceptual discussions, hand calculations, and procedures for the omnibus and simple effects analyses in both SPSS and the new click and shoot SAS Enterprise Guide interface. (Source: www.cambridge.org)

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