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Analysis of variance designs : a conceptual and computational approach with SPSS and SAS / Glenn Gamst, Lawrence S. Meyers, A.J. Guarino.

By: Contributor(s): Material type: TextPublication details: Cambridge ; New York : Cambridge University Press, 2008.Description: xvi, 578 p. : ill. ; 27 cmISBN:
  • 9780521874816 (hardback)
Subject(s): DDC classification:
  • 519.5/38 22
Online resources:
Contents:
ANOVA and research design -- Measurement, central tendency, and variability -- Elements of ANOVA -- The statistical significance of f and effect strength -- ANOVA assumptions -- One-way between-subjects design -- Multiple comparison procedures -- Two-way between-subjects design -- Three-way between-subjects design -- One-way within-subjects design -- Two-way within-subjects design -- Three-way within-subjects design -- Simple mixed design -- Complex mixed design : two between-subject factors and one within-subject factor -- Complex mixed design : one between-subject factor and two within-subject factors -- Analysis of covariance -- Advanced topics in analysis of variance.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
UG Books BMS College of Architecture, Design and Planning 519.5/38 (Browse shelf(Opens below)) Available Rack No ; S-63 AR-UG2355

Includes bibliographical references (p. 561-565) and indexes.

ANOVA and research design -- Measurement, central tendency, and variability -- Elements of ANOVA -- The statistical significance of f and effect strength -- ANOVA assumptions -- One-way between-subjects design -- Multiple comparison procedures -- Two-way between-subjects design -- Three-way between-subjects design -- One-way within-subjects design -- Two-way within-subjects design -- Three-way within-subjects design -- Simple mixed design -- Complex mixed design : two between-subject factors and one within-subject factor -- Complex mixed design : one between-subject factor and two within-subject factors -- Analysis of covariance -- Advanced topics in analysis of variance.

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