An edition of ANOVA (1991)

ANOVA

repeated measures

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Last edited by MARC Bot
March 25, 2025 | History
An edition of ANOVA (1991)

ANOVA

repeated measures

  • 2 Want to read

"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."--Pub. desc.

Publish Date
Publisher
Sage Publications
Language
English
Pages
77

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Previews available in: English

Edition Availability
Cover of: ANOVA
ANOVA: repeated measures
1992, Sage Publications
in English
Cover of: ANOVA
ANOVA: Repeated Measures (Quantitative Applications in the Social Sciences)
November 26, 1991, Sage Publications, Inc
Paperback in English

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Book Details


Edition Notes

Includes bibliographical references (p. 73-76).
"A Sage university paper"--Cover.

Published in
Newbury Park, Calif
Series
Sage university papers., Quantitative applications in the social sciences ;, no. 07-084, Sage university papers series., no. 07-084.

Classifications

Dewey Decimal Class
300/.1/519538
Library of Congress
HA29 .G567 1992,

The Physical Object

Pagination
vi, 77 p. ;
Number of pages
77

Edition Identifiers

Open Library
OL1554459M
ISBN 10
0803942575
LCCN
91034563
OCLC/WorldCat
24540995
LibraryThing
245880
Goodreads
4274044

Work Identifiers

Work ID
OL3253726W

Excerpts

Analysis of variance, in its simplest form, is a general procedure for isolating the sources of variability in a set of measurement.
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