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DTSTART;TZID=UTC+0:20210624T110000
DTEND;TZID=UTC+0:20210624T170000
DTSTAMP:20240223T130900
CREATED:20150728T153148Z
LAST-MODIFIED:20210607T180415Z
UID:604-1624532400-1624554000@www.percontor.org
SUMMARY:Refresher on multiple regression for the applied researcher
DESCRIPTION:A 6-hour workshop taught by Steve Porter\, Ph.D. \nRegister\nOverview\nMany researchers have taken a course that covers multiple regression\, the statistical workhorse of the social sciences\, but have forgotten much of what they learned. The goal of this workshop is to review many of the main concepts of regression\, from the perspective of the applied researcher (in other words\, we won’t be reviewing any proofs!). The workshop focuses on 1) the underlying statistical assumptions\, what happens when they are violated\, and simple ways to address violations\, 2) interpreting a variety of regression coefficients correctly\, and 3) model fit. \nExpected outcomes\nBy the end of the workshop\, participants should understand the basic assumptions underlying multiple regression and what they mean for the applied researcher\, how to interpret regression coefficients\, and how to discuss model fit. \nPricing and schedule\nTime: Thursday\, June 24\, 11AM to 5PM (EST)\nCost: $250\nLocation: Online \nWe offer $50 discounts for graduate students and $25 discounts for multiple workshop enrollments. Find out about our discounts here. \nTime permitting\, Dr. Porter will also answer questions about participants’ specific research projects. Participants can ask questions via chat\, microphone\, or telephone. In order to allow sufficient time for questions\, the number of workshop participants is limited to 30. \nWho should attend?\nThe target audience is researchers who have taken a statistics course that covered multiple regression at some point\, but who have forgotten some of the basics. Researchers who know univariate statistics and would like to learn more about multiple regression are welcome\, but should realize that this is not a complete course on multiple regression. Software demonstrations will use Stata\, but syntax and output from SAS and SPSS will be included for participants who use those software packages in their work. \nAgenda\n\nReview the assumptions of regression\n\nIndependence of errors and clustered standard errors\nHomoskedasticity and robust standard errors\nNo omitted relevant variables and causal inference\nCollinearity\nError term\n\nWhat the random error term really is (it’s not random)\nNormality assumption: it’s the errors\, not the dependent variable\n\n\n\n\nInterpretation of regression coefficients\n\nUnderstanding the null hypothesis and p values for coefficients\nWhat the intercept tells you\nUnstandardized regression coefficients\nStandardized regression coefficients and when to use them\nDummy variables for two and more groups\nInterpreting nonlinear relationships\n\nLogged dependent and independent variables\nSquared terms\n\n\nInteraction terms\n\nWhy you can’t use standard software output to understand the interaction\nCorrectly estimating the standard errors\nHow to interpret the interactions by plotting\n\n\n\n\nModel fit\n\nInterpreting R-squared and standard error of the estimate\nWhen measures of model fit matter\n\n\n\nRegister\n
URL:https://www.percontor.org/upcoming-workshop/refresher-on-multiple-regression-for-the-applied-researcher/
CATEGORIES:Refresher on multiple regression for the applied researcher,Research Methods,Understanding and interpreting multiple regression models
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