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dc.contributor.authorChang, Yu-Hsuan A.
Lane, David M.
dc.date.accessioned 2016-11-22T15:16:07Z
dc.date.available 2016-11-22T15:16:07Z
dc.date.issued 2016
dc.identifier.citation Chang, Yu-Hsuan A. and Lane, David M.. "Generalizing across stimuli as well as subjects: A non-mathematical tutorial on mixed-effects modelsᅠ." The Quantitative Methods for Psychology, 12, no. 3 (2016) The Quantitative Methods for Psychology: 201-219. http://dx.doi.org/10.20982/tqmp.12.3.p201ᅠ.
dc.identifier.urihttps://hdl.handle.net/1911/92714
dc.description.abstract Although it has long been known that analyses that treat stimuli as a fixed effect do not permit generalization from the sample of stimuli to the population of stimuli, surprisingly little attention has been paid to this issue outside of the field of psycholinguistics. The purposes of the article are (a) to present a non-technical explanation of why it is critical to provide a statistical basis for generalizing to both the population subjects and the population of stimuli and (b) to provide instructions for doing analyses that allows this generalization using four common statistical analysis programs (JMP, R, SAS, and SPSS).
dc.language.iso eng
dc.publisher The Quantitative Methods for Psychology
dc.rights This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.title Generalizing across stimuli as well as subjects: A non-mathematical tutorial on mixed-effects modelsᅠ
dc.type Journal article
dc.citation.journalTitle The Quantitative Methods for Psychology
dc.subject.keywordmixed-effects models
tutorialsᅠ
dc.citation.volumeNumber 12
dc.citation.issueNumber 3
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.20982/tqmp.12.3.p201ᅠ
dc.type.publication publisher version
dc.citation.firstpage 201
dc.citation.lastpage 219


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