1 / 2

Which Statistical Tool Do I Use?

Which Statistical Tool Do I Use?. How Many Dependent Variables?. What Type Of Outcome?. How Many Predictors?. If Categorical Predictor, Same Participants or Different in each category?. Does Data Meet Parametric Assumptions?. What type Of predictors?. If Categorical Predictor,

ivy-michael
Download Presentation

Which Statistical Tool Do I Use?

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Which Statistical Tool Do I Use?

  2. How Many Dependent Variables? What Type Of Outcome? How Many Predictors? If Categorical Predictor, Same Participants or Different in each category? Does Data Meet Parametric Assumptions? What type Of predictors? If Categorical Predictor, How many Categories? ANALYSIS TOOL Yes Independent T-test Different No Mann-Whitney Test Two Yes Paired T-test Same No Wilcoxon Rank Sum Categorical Yes One Way ANOVA Different No Kruskall Wallis Test Three + One Yes Repeated Measures ANOVA Same No Friedman’s ANOVA Yes Pearson Correlation or Regression Continuous Yes No Spearman Correlation or Kendall’s Tau Continuous Yes Ind. Factorial ANOVA or Regression Different Categorical Same No Factorial Repeated Measures ANOVA Yes Factorial Mixed ANOVA Both One Continuous Yes Multiple Regression Two + Both Yes Multiple Regression/ANCOVA Categorical Different Pearson Chi-Square or Likelihood Ratio One Continuous Logistic Regression Categorical Categorical Different Loglinear Analysis Two + Continuous Logistic Regression/Discriminant Both Different One Categorical Yes MANOVA Two + Continuous Categorical Yes Factorial MANOVA Two + Both Yes MANCOVA

More Related