Incentives in Collaborative Applications Academic Article uri icon


  • When confronted with missing data, researchers often want to handle the missing observations by substituting plausible values for the missing scores. This practice of filling in missing items is called imputation (eg, Schafer and Graham 2002). Imputation has several advantages: it is more efficient than analyzing complete cases, it gives the opportunity to use information contained in the observed data in predicting the missing scores, and it allows analysis using standard techniques and software on a complete (d) data set that is the …

publication date

  • January 1, 2014