dropR

DropR analyzes data from Internet-based experiments for differences in dropout (aka attrition, mortality, break-off) between conditions. Currently, DropR supports visual inspection of dropout, Odds ratio by item, Chi Square tests of differences at any particular item (e.g. test for overall dropout difference), Kaplan-Maier survival estimation, Rho family tests.

DropR follows a simple step-by-step process. Begin by uploading your data under 'Upload your data' or choose our demo file and choose 'experimental_condition' as the grouping variable under 'Identify' to see what DropR can do for you.

Plot options

Hints

- color blind and printer friendly palettes support up to 8 different categories (colors).

- When re-labelling conditions, use comma (,) as a seperator. Make sure to list as many names as conditions selected.

- With dropR you can produce graphs for publication in various formats. You may choose from vector formats such as .svg and .pdf and the .png format for rendered pixels. While size is relevant to any format, resolution only applies to .png and will be ignored when vector formats are chosen.

Dropout by question

download plot

Upload your data

1 Choose

a .csv file from your disk

  • Indicate whether the first line of your data is meant to be a header.
  • Choose the proper column delimiter, text quote and missing value coding for your file. Note that, proper missing values (empty fields) are accepted in addition by default.
  • Make sure to use reasonable coding for missing values (i.e. empty cells). Avoid ambigous coding such as -99, -999 etc.
  • Check the preview window below. Iff your data is displayed as expected you are good to start with your analysis. DON'T forget to hit 'update data' in the right box when you're ready.

or use a demo dataset instead

2 Specify

.csv properties

3 Identify

questions and conditions

Data Preview

χ2-test options

Test outcomes


                    
Odds ratio by item

                    

                    

                      

                    

                  

                

              

            

          

          

            
Kaplan-Meier Estimation

            

              

                

                  

                    
Model specifications

                    

                      
                      

                        
                        
                      

                    

                    

                    
Plot options

                    

                      

                        
                      

                    

                    

                      

                        
                      

                    

                    

                      
                      

                        

                          
                        

                        

                          
                        

                        

                          
                        

                      

                    

                    
Rho family tests

                    

                    
Export plot

                    

                      
                      
                    

                    

                      
                      

                        
                        
                      

                    

                    

                      
                      
                    

                    

                      
                      
                    

                    

                      
                      
                    

                    
                      
                      download plot
                    
                  

                

              

              

                

                  

                    
Kaplan-Meier survival curve

                    

                    
Test Survival Curve Differences

                    

                  

                

              

            

          

          

            
About

            
DropR is a joint project by 
Ulf-Dietrich Reips and Matthias Bannert that 
          followed naturally from the long-standing need in 
          Internet science and online 
          research for methods and tools to address the 
          fact that dropout (aka attrition, mortality, 
          break-off) occurs much more frequently when 
          conducted via the Internet than in traditional 
          lab-based research.