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Anova: Repeated Measures
Contributor(s): Girden, Ellen Robinson (Author)
ISBN: 0803942575     ISBN-13: 9780803942578
Publisher: Sage Publications, Inc
OUR PRICE:   $39.90  
Product Type: Paperback - Other Formats
Published: November 1991
Qty:
Annotation: By focusing on situations in which analysis of variance (ANOVA) involves the repeated measurement of separate groups of individuals, Girden reveals the advantages, disadvantages, and counterbalancing issues of repeated measures situations. Using additive and nonadditive models to guide the analysis in each chapter, the book covers such topics as the rationale for partitioning the sums of squares, detailed analyses to facilitate the interpretation of computer printouts, the rationale for the F ratios in terms of expected means squares, validity assumptions for sphericity or circularity, and approximate tests to perform when sphericity is not met. In addition, the text includes the latest work on data with missing values and the use of quasi-F ratios when one or more independent variables is of the random effects type.
Additional Information
BISAC Categories:
- Social Science | Methodology
- Social Science | Research
Dewey: 300.151
LCCN: 91034563
Series: Quantitative Applications in the Social Sciences
Physical Information: 0.21" H x 5.46" W x 8.3" (0.22 lbs) 88 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

Focusing on situations in which analysis of variance (ANOVA) involving the repeated measurement of separate groups of individuals is needed, Girden reveals the advantages, disadvantages, and counterbalancing issues of repeated measures situations. Using additive and nonadditive models to guide the analysis in each chapter, the book covers such topics as the rationale for partitioning the sum of squares, detailed analyses to facilitate the interpretation of computer printouts, the rationale for the F ratios in terms of expected means squares, validity assumptions for sphericity or circularity and approximate tests to perform when sphericity is not met.