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Quantitative Applications in the Social Sciences Ser.: Anova : Repeated Measures by Ellen Robinson Girden (1991, Trade Paperback)
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ANOVA: REPEATED MEASURES (QUANTITATIVE APPLICATIONS IN THE SOCIAL SCIENCES) By Ellen Robinson Girden **BRAND NEW**.
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About this product
Product Identifiers
PublisherSAGE Publications, Incorporated
ISBN-100803942575
ISBN-139780803942578
eBay Product ID (ePID)491730
Product Key Features
Number of Pages88 Pages
Publication NameANOVA : Repeated Measures
LanguageEnglish
Publication Year1991
SubjectProbability & Statistics / General, Research, Statistics
TypeTextbook
Subject AreaMathematics, Social Science
AuthorEllen Robinson Girden
SeriesQuantitative Applications in the Social Sciences Ser.
FormatTrade Paperback
Dimensions
Item Height0.3 in
Item Weight4 Oz
Item Length8.3 in
Item Width5.5 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN91-034563
Series Volume Number84
IllustratedYes
Table Of ContentIntroduction Repeated Measures Situations Single Factor Studies Two Factor Studies with Repeated Measures on Both Factors Two Factor Study with Repeated Measures on One Factor Three Factor Studies
SynopsisFocusing on situations in which analysis of variance (ANOVA) involving the repeated measurement of separate groups of individuals is needed, Girden reveals the advantages, disadvanteges 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 print-outs; the rationale for the F ratios in terms of expected means squares; validity assumptions for sphericity or circularity; approximate tests to perform when sphericity is not met. In addition, the text includes work on data with missing values and the use of quasi F ratios when one or more independent variable is of the random effects type., 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.
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