Specific Interaction Contrasts: A Statistical Tool for Repeated-Measures Designs.

Abstract

Experimental psychologists often use multifactor repeated-measure designs in which interactions are the most important effects to be assessed. An experimenter has at least five ways to evaluate such interactions: a univariate repeated-measures analysis of variance (ANOVA), with (probably) inflated estimates of the degrees of freedom; a univariate repeated-measures ANOVA with the Greenhouse-Geisser conservative estimate of the degrees of freedom; the Greenhouse-Geisser stepwise analysis; a multivariate ANOVA; and specific interaction contrasts. We show that no matter which of the above paths is chosen, the careful experimenter must compute specific interaction contrasts (i.e., t-tests). A worked example is given. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1976
Accession Number
ADA076775

Entities

People

  • Ardie Lubin
  • Van K. Tharp Jr.

Organizations

  • Naval Health Research Center

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Base Lines
  • Cell Size
  • Contrast
  • Data Analysis
  • Data Mining
  • Data Science
  • Errors
  • Frequency
  • Greenhouses
  • Information Processing
  • Information Science
  • New York
  • Order Statistics
  • Reaction Time
  • Residuals
  • Statistics

Readers

  • Approximation Theory.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Theoretical Analysis.