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The analysis examines the impact of 'Treatment' and 'Group' variables on a dependent variable, with the number of observations being 230. The results are presented in a table detailing the Marginal Effect (Margin), its Standard Error (Std. Err.), the t-statistic, the p-value (P>|t|), and the 95% Confidence Interval for each combination of 'Treatment' and 'Group'. The 'Treatment' variable includes levels 'No Inadmissible evidence' and 'Inadmissible Evidence', while the 'Group' variable consists of 'Juror' and 'Judge'. The output from a second regression analysis predicting 'Liability' based on 'Group' and 'Treatment' is also provided, including source of variation (SS, df, MS), overall model fit statistics (F-statistic, R-squared), and coefficients for the predictor variables with their respective standard errors, t-values, p-values, and confidence intervals.","","cbCaikyLUNHBrnDl","https://ap.wps.com/l/cbCaikyLUNHBrnDl","pdf",263304,"English","en",105,"# Adjusted Predictions\n## Model VCE\n### Expression\n# Regression Output for Liability","[{\"question\":\"What type of model was used for the adjusted predictions?\",\"answer\":\"The adjusted predictions were derived from an Ordinary Least Squares (OLS) regression model evaluated using the Variance Components of Errors (VCE) method.\"},{\"question\":\"What are the key independent variables considered in the analysis?\",\"answer\":\"The key independent variables examined are 'Treatment' (with levels 'No Inadmissible evidence' and 'Inadmissible Evidence') and 'Group' (comprising 'Juror' and 'Judge').\"},{\"question\":\"What is the overall R-squared value for the regression predicting Liability?\",\"answer\":\"The overall R-squared value for the regression predicting Liability is 0.1859, indicating that approximately 18.59% of the variance in Liability is explained by the model.\"}]","Marginal Effects of Treatment and Group in a Regression Model | PDF",1788377967,15,{"code":4,"msg":81,"data":82},"ok",{"site_id":74,"language":73,"slug":83,"title":65,"keywords":67,"description":66,"schema_data":84,"social_meta":138,"head_meta":140,"extra_data":142,"updated_unix":78},"marginal-effects-of-treatment-and-group-in-a-regression-model",{"@graph":85,"@context":137},[86,100,120],{"@type":87,"itemListElement":88},"BreadcrumbList",[89,93,95,98],{"item":90,"name":91,"@type":92,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":94,"name":9,"@type":92,"position":14},"https://docshare.wps.com/document/",{"item":96,"name":40,"@type":92,"position":97},"https://docshare.wps.com/document/research-report/",3,{"item":99,"name":65,"@type":92,"position":19},"https://docshare.wps.com/document/marginal-effects-of-treatment-and-group-in-a-regression-model/186913/",{"url":99,"name":65,"@type":101,"image":102,"author":107,"headline":65,"publisher":109,"fileFormat":112,"inLanguage":73,"description":66,"dateModified":113,"datePublished":114,"encodingFormat":112,"isAccessibleForFree":115,"interactionStatistic":116},"DigitalDocument",{"url":103,"@type":104,"width":105,"height":106},"https://docshare.wps.com/thumbnails/marginal-effects-of-treatment-and-group-in-a-regression-model/186913.png","ImageObject",300,407,{"name":63,"@type":108},"Person",{"url":90,"name":110,"@type":111},"DocShare","Organization","application/pdf","2026-10-17","2026-09-02",true,{"@type":117,"interactionType":118,"userInteractionCount":34},"InteractionCounter",{"@type":119},"ViewAction",{"@type":121,"mainEntity":122},"FAQPage",[123,129,133],{"name":124,"@type":125,"acceptedAnswer":126},"What type of model was used for the adjusted predictions?","Question",{"text":127,"@type":128},"The adjusted predictions were derived from an Ordinary Least Squares (OLS) regression model evaluated using the Variance Components of Errors (VCE) method.","Answer",{"name":130,"@type":125,"acceptedAnswer":131},"What are the key independent variables considered in the analysis?",{"text":132,"@type":128},"The key independent variables examined are 'Treatment' (with levels 'No Inadmissible evidence' and 'Inadmissible Evidence') and 'Group' (comprising 'Juror' and 'Judge').",{"name":134,"@type":125,"acceptedAnswer":135},"What is the overall R-squared value for the regression predicting Liability?",{"text":136,"@type":128},"The overall R-squared value for the regression predicting Liability is 0.1859, indicating that approximately 18.59% of the variance in Liability is explained by the model.","https://schema.org",{"og:url":99,"og:type":139,"og:title":65,"og:site_name":110,"og:description":66},"article",{"robots":141,"canonical":99},"index,follow",{"doc_id":61,"site_id":74}]