Generalizing across stimuli as well as subjects: A non-mathematical tutorial on mixed-effects models
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 ar...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Université d'Ottawa
2016-10-01
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| Series: | Tutorials in Quantitative Methods for Psychology |
| Subjects: | |
| Online Access: | http://www.tqmp.org/RegularArticles/vol12-3/p201/p201.pdf |
| _version_ | 1818050785934573568 |
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| author | Chang, Yu-Hsuan A. Lane, David M. |
| author_facet | Chang, Yu-Hsuan A. Lane, David M. |
| author_sort | Chang, Yu-Hsuan A. |
| collection | DOAJ |
| description | 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). |
| first_indexed | 2024-12-10T10:59:00Z |
| format | Article |
| id | doaj.art-d36254d9a3d94cca96640c8eb8a5a865 |
| institution | Directory Open Access Journal |
| issn | 1913-4126 |
| language | English |
| last_indexed | 2024-12-10T10:59:00Z |
| publishDate | 2016-10-01 |
| publisher | Université d'Ottawa |
| record_format | Article |
| series | Tutorials in Quantitative Methods for Psychology |
| spelling | doaj.art-d36254d9a3d94cca96640c8eb8a5a8652022-12-22T01:51:45ZengUniversité d'OttawaTutorials in Quantitative Methods for Psychology1913-41262016-10-0112320121910.20982/tqmp.12.3.p201Generalizing across stimuli as well as subjects: A non-mathematical tutorial on mixed-effects modelsChang, Yu-Hsuan A.Lane, David M.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).http://www.tqmp.org/RegularArticles/vol12-3/p201/p201.pdfmixed-effects modelstutorialsJMP, SAS, SPSS, R |
| spellingShingle | Chang, Yu-Hsuan A. Lane, David M. Generalizing across stimuli as well as subjects: A non-mathematical tutorial on mixed-effects models Tutorials in Quantitative Methods for Psychology mixed-effects models tutorials JMP, SAS, SPSS, R |
| title | Generalizing across stimuli as well as subjects: A non-mathematical tutorial on mixed-effects models |
| title_full | Generalizing across stimuli as well as subjects: A non-mathematical tutorial on mixed-effects models |
| title_fullStr | Generalizing across stimuli as well as subjects: A non-mathematical tutorial on mixed-effects models |
| title_full_unstemmed | Generalizing across stimuli as well as subjects: A non-mathematical tutorial on mixed-effects models |
| title_short | Generalizing across stimuli as well as subjects: A non-mathematical tutorial on mixed-effects models |
| title_sort | generalizing across stimuli as well as subjects a non mathematical tutorial on mixed effects models |
| topic | mixed-effects models tutorials JMP, SAS, SPSS, R |
| url | http://www.tqmp.org/RegularArticles/vol12-3/p201/p201.pdf |
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