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Proportional Reduction In Error Formula
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page numbers Download PDF Sections Menu Opener Search form icon-arrow-top icon-arrow-top Page Site Advanced 7 of 230 Not Found Opener Sections within this page Sections Proportional Reduction Of Error (PRE) In: The SAGE Encyclopedia of Social Science Research Methods Encyclopedia By: Scott Menard Edited by: Michael S. Lewis-Beck, Alan Bryman & Tim Futing Liao Published: 2004 DOI: http://dx.doi.org/10.4135/9781412950589.n765 +- LessMore information Print ISBN: 9780761923633 | Online ISBN: 9781412950589 Online Publication Date: January 1, 2011 Disciplines: Anthropology, Business and Management, Communication and Media Studies, Criminology and Criminal Justice, Economics, Education, Geography, Health, History, Marketing, Nursing, Political Science and International Relations, Psychology, Social Policy and Public Policy, Social Work, Sociology Buy in print Entry Reader’s Guide Entries A-Z Subject Index Search form Not Found Download PDF Show page numbers Looks like you do not have access to this content. Please login or find out how to gain access. Analysis of VarianceAnalysis of Covariance (ANCOVA)Analysis of Variance (ANOVA)Main EffectModel I ANOVAModel II ANOVAModel III ANOVAOne-Way ANOVATwo-Way ANOVAAssociation
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Tour Start here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us http://stats.stackexchange.com/questions/173699/calculating-p-value-from-pre-proportional-reduction-in-error Learn more about Stack Overflow the company Business Learn more about hiring developers or posting ads with us Cross Validated Questions Tags Users Badges Unanswered Ask Question _ Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. Join them; it only takes a minute: Sign up Here's how it works: Anybody can ask a question proportional reduction Anybody can answer The best answers are voted up and rise to the top calculating p-value from PRE (proportional reduction in error) up vote 0 down vote favorite In R, I have created a PRE value to test whether or not modelA is significantly different from modelC. How can I get a significance value for either the PRE distribution or the R^2 distribution (pearson's R)? #modelA<-lm(...) #modelC<-lm(...) PRE=(sum(modelC$residuals^2)-sum(modelA$residuals^2))/sum(modelC$residuals^2) reduction in error r regression multiple-regression linear-model share|improve this question asked Sep 22 '15 at 17:11 Rilcon42 272111 Are they nested models? If so a small rescaling of your formula should yield a standard partial F (discussed in a number of questions here). If they're not nested, most people would use some criterion for comparison rather than a test (such as comparing AIC or BIC, for example), but it's possible to use something like Vuong's test. –Glen_b♦ Oct 15 '15 at 2:55 An F test would work, I was hoping someone knew of a way to get the PRE distribution critical values in R though. –Rilcon42 Oct 16 '15 at 3:33 You can back them straight out of the F-test –Glen_b♦ Oct 16 '15 at 6:45 add a comment| 1 Answer 1 active oldest votes up vote -1 down vote There is no PRE distribution. You just have to use your judgement if the reduction in error seems large enough to justify adding complexity to the model. share|improve this answer answered Oct 15 '15 at 1:55 Michael 1 add a comment| Your Answer draft saved draft discarded Sign up or log in Sign up using Google Sign up using
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