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Analysis Of Variance Designs "A Conceptual And Computational Approach With Spss And Sas"

A Conceptual And Computational Approach With Spss And Sas

Analysis Of Variance Designs "A Conceptual And Computational Approach With Spss And Sas". A Conceptual And Computational Approach With Spss And Sas

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  • ISBN:9780521874816
  • Editorial: Cambridge University Press
  • Fecha de la edición:
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  • Dimensiones: 0 cm x 0 cm
  • Nº Pág.:594
  • Idiomas:Ingles,Inglés

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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.

Sect. 1 Research Foundations
1 ANOVA and research design 3
2 Measurement, central tendency, and variability 9
Sect. 2 Foundations of Analysis of Variance
3 Elements of ANOVA 23
4 The statistical significance F and effect of strength 34
5 ANOVA assumptions 49
Sect. 3 Between-Subjects Designs
6 One-way between-subjects design 87
7 Multiple comparison procedures 112
8 Two-way between-subjects design 172
9 Three-way between-subjects design 211
Sect. 4 Within-Subjects Designs
10 One-way within-subject design 241
11 Two-way within-subjects design 287
12 Three-way within-subjects design 325
Sect. 5 Mixed Designs
13 Simple mixed design 361
14 Complex mixed design: two between-subject factors and one within-subject factor 391
15 Complex mixed design: one between-subject factor and two within-subject factors 420
Sect. 6 Advanced Topics
16 Analysis of covariance 453
17 Advanced topics in analysis of variance 488
App. A Primer on SPSS 501
App. B Primer on SAS 531
App. C Table of critical F values 551
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