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Quantitative Applications in the Social Sciences #84: Anova: Repeated Measures

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Quantitative Applications in the Social Sciences #84: Anova: Repeated Measures Cover

 

Synopses & Reviews

Synopsis:

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.

Product Details

ISBN:
9780803942578
Author:
Girden, Ellen R.
Publisher:
Sage Publications, Inc
Location:
Newbury Park, Calif. :
Subject:
Methodology
Subject:
Research
Subject:
Social sciences
Subject:
Analysis of variance
Subject:
Social sciences -- Statistical methods.
Subject:
Sociology-Reference and Methodology
Edition Description:
Includes bibliographical references p. 73-76.
Series:
Quantitative Applications in the Social Sciences
Series Volume:
84
Publication Date:
19911131
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
88
Dimensions:
8.30x5.46x.21 in. .22 lbs.

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Related Subjects

Health and Self-Help » Psychology » General
History and Social Science » Politics » General
History and Social Science » Sociology » Reference and Methodology
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Quantitative Applications in the Social Sciences #84: Anova: Repeated Measures New Trade Paper
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Product details 88 pages Sage Publications - English 9780803942578 Reviews:
"Synopsis" by , 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.
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