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picture1_Linear Regression Ppt 69838 | Slide Mgt413 Slide14


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File: Linear Regression Ppt 69838 | Slide Mgt413 Slide14
measures of association interval ratio data pearson correlation coefficient for continuous linearly related variables for nonlinear data or relating a main correlation ratio eta effect to a continuous dependent variable ...

icon picture PPTX Filetype Power Point PPTX | Posted on 29 Aug 2022 | 3 years ago
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      Measures of Association: 
      Interval/Ratio Data
     Pearson correlation coefficient       For continuous linearly related 
                                           variables
                                           For nonlinear data or relating a main 
     Correlation ratio (eta)               effect to a continuous dependent 
                                           variable
                                           One continuous and one dichotomous 
     Biserial                              variable with an underlying normal 
                                           distribution
     Partial correlation                   Three variables; relating two with the 
                                           third’s effect taken out
     Multiple correlation                  Three variables; relating one variable 
                                           with two others
     Bivariate linear regression           Predicting one variable from another’s 
                                           scores
                                                                                      18-2
     Measures of Association: Ordinal 
     Data
                                   Based on concordant-discordant 
   Gamma                           pairs; proportional reduction in 
                                   error (PRE) interpretation
   Kendall’s tau b                 P-Q based; adjustment for tied 
                                   ranks
   Kendall’s tau c                 P-Q based; adjustment for table 
                                   dimensions
   Somers’s d                      P-Q based; asymmetrical 
                                   extension of gamma
   Spearman’s rho                  Product moment correlation for 
                                   ranked data
                                                                      18-3
      Measures of Association: Nominal 
      Data
   Phi                                  Chi-square based for 2*2 tables
   Cramer’s V                           CS based; adjustment when one table 
                                        dimension >2
   Contingency coefficient C            CS based; flexible data and distribution 
                                        assumptions
   Lambda                               PRE based interpretation
   Goodman & Kruskal’s tau              PRE based with table marginals 
                                        emphasis
   Uncertainty coefficient              Useful for multidimensional tables
   Kappa                                Agreement measure
                                                                                18-4
    Researchers Search for Insights
        Burke, one of the 
        world’s leading 
        research 
        companies, claims 
        researchers add the 
        most value to a 
        project when they 
        look beyond the raw 
        numbers to the 
        shades of gray…
        what the data  really 
        mean.
                                                                                  18-5
     Pearson’s Product Moment 
     Correlation r
               Is there a relationship between X and Y?
               What is the magnitude of the relationship?
                What is the direction of the relationship?
                                                                     18-6
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...Measures of association interval ratio data pearson correlation coefficient for continuous linearly related variables nonlinear or relating a main eta effect to dependent variable one and dichotomous biserial with an underlying normal distribution partial three two the third s taken out multiple others bivariate linear regression predicting from another scores ordinal based on concordant discordant gamma pairs proportional reduction in error pre interpretation kendall tau b p q adjustment tied ranks c table dimensions somers d asymmetrical extension spearman rho product moment ranked nominal phi chi square tables cramer v cs when dimension contingency flexible assumptions lambda goodman kruskal marginals emphasis uncertainty useful multidimensional kappa agreement measure researchers search insights burke world leading research companies claims add most value project they look beyond raw numbers shades gray what really mean r is there relationship between x y magnitude direction...

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