Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-27T00:31:11.536Z Has data issue: false hasContentIssue false
  • English
  • Français

R. H. Baayen, Analyzing linguistic data: A practical introduction to statistics using R. Cambridge: Cambridge University Press, 2008. Pp. 368. ISBN-13: 978-0-521-70918-7.

Published online by Cambridge University Press:  24 August 2009

Grzegorz Krajewski  and
Danielle Matthews
Grzegorz Krajewski
Affiliation:
Max Planck Child Study Centre, University of Manchester
Danielle Matthews
Affiliation:
Max Planck Child Study Centre, University of Manchester
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Book Review
Information
Journal of Child Language , Volume 37 , Issue 2 , March 2010 , pp. 465 - 470
Copyright
Copyright © 2009 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Baayen, R. H., Davidson, D. J. & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language 59(4), 390–412.CrossRefGoogle Scholar
Clark, H. H. (1973). The language-as-fixed-effect fallacy: A critique of language statistics in psychological research. Journal of Verbal Learning and Verbal Behavior 12(4), 335–59.CrossRefGoogle Scholar
Field, A. (2005). Discovering statistics using SPSS, 2nd edn. London: SAGE.Google Scholar
Howell, D. C. (2007). Statistical methods for psychology, 6th edn. Belmont, CA: Thomson/Wadsworth.Google Scholar