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Harden"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"University of North Carolina at Chapel Hill"}},{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Bruce A. Desmarais"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"University of Massachusetts-Amherst"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Jeffrey J. Harden"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"University of North Carolina at Chapel Hill"},"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"jjharden@unc.edu"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"State politics researchers commonly employ ordinary least squares (OLS) regression or one of its variants to test linear hypotheses. However, OLS is easily influenced by outliers and thus can produce misleading results when the error term distribution has heavy tails. Here we demonstrate that median regression (MR), an alternative to OLS that conditions the median of the dependent variable (rather than the mean) on the independent variables, can be a solution to this problem. Then we propose and validate a hypothesis test that applied researchers can use to select between OLS and MR in a given sample of data. Finally, we present two examples from state politics research in which (1) the test selects MR over OLS and (2) differences in results between the two methods could lead to different substantive inferences. We conclude that MR and the test we propose can improve linear models in state politics research."}}]},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2011-08-10"}]}},"files":[{"description":"R function for performing CVDM test","label":"Harden and Desmarais (2011) CVDM Function.r","restricted":false,"version":1,"datasetVersionId":54573,"dataFile":{"id":2302531,"persistentId":"doi:10.7910/DVN/JJLJKZ/I2PVTX","pidURL":"https://doi.org/10.7910/DVN/JJLJKZ/I2PVTX","filename":"Harden and Desmarais (2011) CVDM Function.r","contentType":"text/plain; charset=US-ASCII","friendlyType":"Plain Text","filesize":5482,"description":"R function for performing CVDM test","storageIdentifier":"s3://dvn-cloud:70693","rootDataFileId":-1,"md5":"014feeebbe2cbcc5490be74aba11d4eb","checksum":{"type":"MD5","value":"014feeebbe2cbcc5490be74aba11d4eb"},"tabularData":false,"creationDate":"2011-08-10","publicationDate":"2011-08-09","lastUpdateTime":"2011-08-11T00:41:47Z","fileAccessRequest":false}},{"description":"R simulation example file","label":"Harden and Desmarais (2011) Simulation Example.r","restricted":false,"version":1,"datasetVersionId":54573,"dataFile":{"id":2302532,"persistentId":"doi:10.7910/DVN/JJLJKZ/GWMP9E","pidURL":"https://doi.org/10.7910/DVN/JJLJKZ/GWMP9E","filename":"Harden and Desmarais (2011) Simulation Example.r","contentType":"text/plain; charset=US-ASCII","friendlyType":"Plain Text","filesize":3590,"description":"R simulation example file","storageIdentifier":"s3://dvn-cloud:70694","rootDataFileId":-1,"md5":"c223f7bdb697fa64c6d5d5a366116a77","checksum":{"type":"MD5","value":"c223f7bdb697fa64c6d5d5a366116a77"},"tabularData":false,"creationDate":"2011-08-10","publicationDate":"2011-08-09","lastUpdateTime":"2011-08-11T00:41:47Z","fileAccessRequest":false}},{"description":"Web Appendix","label":"Harden and Desmarais (2011) Web Appendix.pdf","restricted":false,"version":1,"datasetVersionId":54573,"dataFile":{"id":2302533,"persistentId":"doi:10.7910/DVN/JJLJKZ/K8IGI9","pidURL":"https://doi.org/10.7910/DVN/JJLJKZ/K8IGI9","filename":"Harden and Desmarais (2011) Web Appendix.pdf","contentType":"application/pdf","friendlyType":"Adobe PDF","filesize":198705,"description":"Web Appendix","storageIdentifier":"s3://dvn-cloud:70695","rootDataFileId":-1,"md5":"4189f861580e887402c8f9fe35edce80","checksum":{"type":"MD5","value":"4189f861580e887402c8f9fe35edce80"},"tabularData":false,"creationDate":"2011-08-10","publicationDate":"2011-08-09","lastUpdateTime":"2011-08-11T00:41:47Z","fileAccessRequest":false}}]}}}