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  1. I

    handling missing data

    My guess is NMAR. I decided to try EM algorithm to do bootstrapping using AMOS though. I also decided to exclude two participants who did not respond to any of 7 items about a dependent variable. I am not sure if it's better to keep them and impute their missing values even if they did not...
  2. I

    handling missing data

    Results of Little's MCAR test were significant at .001, showing that it's not MCAR. Not sure how I can know if missingness is MAR or not. I got significantly different paths between girls and boys, and I think these results are very meaningful. However, given 5% of missing values on gender, I...
  3. I

    handling missing data

    1. Do you think it makes sense to compute missing demographic information (e.g. gender, race, age) using EM algorithm? 2. I am using AMOS to test a latent mediation model. I know that I can use Amos's FIML method with containing all missing values, but I feel like I have to delete the...