Potsdam Mind Research Repository

Reproducible Research

  • Increase font size
  • Default font size
  • Decrease font size
Home R Playground R Playground Schad et al. (2019, JML). How to capitalize on a priori contrasts in linear (mixed) models: A tutorial

Schad et al. (2019, JML). How to capitalize on a priori contrasts in linear (mixed) models: A tutorial



Schad, D., Hohenstein, S., Vasishth, S., & Kliegl, R. (2019). How to capitalize on a priori contrasts in linear (mixed) models: A tutorial. Journal of Memory and Language

Abstract. Factorial experiments in research on memory, language, and in other areas are often analyzed using analysis of variance (ANOVA). However, for effects with more than one numerator degrees of freedom, e.g., for experimental factors with more than two levels, the ANOVA omnibus F-test is not informative about the source of a main effect or interaction. Because researchers typically have specific hypotheses about which condition means differ from each other, a priori contrasts (i.e., comparisons planned before the sample means are known) between specific conditions or combinations of conditions are the appropriate way to represent such hypotheses in the statistical model. Many researchers have pointed out that contrasts should be “tested instead of, rather than as a supplement to, the ordinary ‘omnibus’ F test” (Hays, 1973, p. 601). In this tutorial, we explain the mathematics underlying different kinds of contrasts (i.e., treatment, sum, repeated, polynomial, custom, nested, interaction contrasts), discuss their properties, and demonstrate how they are applied in the R System for Statistical Computing (R Core Team, 2018). In this context, we explain the generalized inverse which is needed to compute the coefficients for contrasts that test hypotheses that are not covered by the default set of contrasts. A detailed understanding of contrast coding is crucial for successful and correct specification in linear models (including linear mixed models). Contrasts defined a priori yield far more useful confirmatory tests of experimental hypotheses than standard omnibus F-test.

This the author version of a paper to appear in the Journal of Memory and Language.

To download, use right-click or CTRL-click and then "save as..."
Download this file (Schad_etal.Contrasts.JML.2019.pdf)Schad_etal.Contrasts.JML.2019.pdf[ ][1]3142 Kb21/07/2019 09:01
Download this file (mixedDesign.v0.6.3.R)mixedDesign.v0.6.3.R[ ][2]17 Kb14/07/2019 06:36
Download this file (SchadEtAlJML2019.R)SchadEtAlJML2019.R[ ][3]24 Kb21/07/2019 08:58
Last Updated on Sunday, 21 July 2019 09:15  

See also

Copyright © 2024 Potsdam Mind Research Repository (PMR2). All Rights Reserved.
Joomla! is Free Software released under the GNU/GPL License.