mcar

  1. S

    Scale-wise testing for "missing completely at random"?

    Hi there! :) I want to impute my missing data by using maximal likelihood (ML) estimation in SPSS. I've read that concerning questionnaire data it's recommended to impute the missing data scale-wise, since the intercorrelations of the items of each scale lead to more realistic estimations of...
  2. T

    Missing value treatment for categorical & continues variables and testng MCAR/MAR

    Hello everybody, My dataset (N=90) consists of ordinal variables serving as IVs and dichotomous and continuous variables serving as DVs. IVs and DVs were assessed in two seperate experiments with the same sample. My proximal goal is to build scales from the IVs and the DVs. I am using PWSTAT...
  3. S

    Missing Value Analysis, Little's test sig (so not MCAR), how to tell if MAR or MNAR?

    Hi Everyone, I have a 7 variable dataset with 500+ participants, and 5.5% of values are missing for a single variable (V7). I'm using SPSS. I have performed Little's test and the result is highly significant p<.001. So I will conclude that the data are not MCAR. Now I have run separate...
  4. D

    Missing data in clinical trials - HELP! Differential drop out plus ignoring questions

    Hi, I have a long format, repeated measures dataset. I have 19 variables (columns) - all representing individual questions on a 19 item scale. For my main analysis, I use the sum total of these 19 items across each row in the dataset (and a GEE analysis, with the sum total of the 19 items as...
  5. Rmaxwel2

    Imputing Data for a Case w/ No Values for a Given Measure

    Hi, all, I have a measure for which I have two cases missing values for all items. The missingness is MCAR (due to experimenter error); is it possible (and more specifically, to any degree methodologically sound) to impute values for these cases' items using observations from other available...