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Proportional Reduction Error Pre

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Proportional Reduction In Error Formula

measures. Proportional Reduction of Error (PRE) The proportional reduction in error lambda concept that underlies the definition and interpretation of several measures proportionate reduction in error symbol of association, PRE measures are derived by comparing the errors made in predicting the dependent while ignoring the

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independent variable with errors made when making predictions that use information about the independent variable. E1 = errors of prediction made when the independent variable is ignored E2 = errors of prediction made when the prediction

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is based on the independent variable "All PRE measures are based on comparing predictive error levels that result from each of two methods of prediction" (Frankfort-Nachmias and Leon-Guerrero 2011:366). Table 12.1 on page 366 of the textbook helps us to understand this. The independent variable is number of children; the dependent variable is support for abortion. Content on this page requires a newer version of Adobe Flash Player. Two of the most commonly used PRE measures of association are lambda (λ) and gamma (γ). Two PRE Measures: Lambda and Gamma Lambda λ Appropriate for: Nominal Variables Gamma γ Appropriate for: Ordinal and Dichotomous Nominal Variables

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Proportional Reduction In Error Spss

Help Search within my subject specializations: Select ... Select your specializations: Select proportional reduction in error interpretation All / Clear Selections Archaeology Art & Architecture Bilingual dictionaries Classical studies Encyclopedias Geographical reference English Dictionaries and Thesauri https://learn.bu.edu/bbcswebdav/pid-826908-dt-content-rid-2073693_1/courses/13sprgmetcj702_ol/week05/metcj702_W05S03T02_proportional.html History Ancient history (non-classical to 500 CE) Early history (500 CE to 1500) Early Modern History (1500 to 1700) modern history (1700 to 1945) Contemporary History (post 1945) Military History Regional and National History Local and Family History Language reference History of English http://www.oxfordreference.com/view/10.1093/oi/authority.20110803100349896 Usage and Grammar Guides Writing and Editing Guides Law History of Law Human Rights and Immigration International Law Linguistics Literature Bibliography Children's literature studies Literary studies (early and medieval) Literary studies (19th century) Literary studies (20th century onwards) Literary studies - fiction, novelists, and prose writers Literary studies - plays and playwrights Literary studies - poetry and poets Literary theory and cultural studies Shakespeare studies and criticism Media studies Medicine and health Clinical Medicine Dentistry Public Health and Epidemiology Surgery Psychiatry Music Opera Names studies Performing arts Dance Theatre Philosophy Quotations Religion Science and technology Astronomy and Cosmology Chemistry Earth Sciences and Geography Engineering and Technology Environmental Science History of Science Life Sciences Mathemat

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) r reduction in error 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 Fac

 

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Proportional Reduction In Error Statistics p PRE measures Proportional Reduction of Error PRE The concept that underlies the definition and interpretation of several measures of association PRE measures are derived by comparing the errors made in predicting the dependent while ignoring the independent variable with errors made when making predictions that use information about the independent variable E errors of prediction made when the independent variable is ignored E errors of prediction made when the prediction is based on the independent variable All PRE measures are based on comparing predictive error levels that result from each of two methods of

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Proportional Reduction In Error Spss p StatisticsGraphsExamining Relationships Among VariablesCrosstabulationsMeasures of Association and CorrelationChi-Square Test of IndependenceExamining Differences Between GroupsANOVAT- tests Search for Measures of Association and Correlation Note if you click proportional reduction in error lambda on an image it will enlarge Hit your back button to Proportional Reduction In Error Stata return to the page Proportionate Reduction of Error PRE is the logical foundation of determining measures of proportional reduction in error statistics association For example suppose that you were told that there were a people in a room and each person would leave individually You are asked

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