Currently I'm working on a project in which I use Item response theory. I have 8 variables from a lot of cases, which I would like to find the latent variable for. Now, the problem is that there is quite some missing data. I already worked out how to impute some of the values, but now I want to make another model, in which I drop all the observations which have missing values for more than 4 of the 8 variables, because imputing these can be seen as inreliable. I've looked around in multiple manuals, but can't seem to find what I'm looking for.
Related Posts with Dropping multiple missing observations
How to use loops and macros to delete consecutive observations based on characteristics of the last observation in the group?Hey folks. I have choice data that has the following structure: Code: * Example generated by -data…
Population size smaller than number of observation, svysetDear Stata users, After applying svyset command to dataset with weights included in the dataset and…
how do i match two colums with different patterns of city namesHi, I want to match 2 columns with different patterns of city names (not sorted, no similar observa…
Why my loop codes failed? Code: xtset id week eststo: xtreg _contritotal afterblock age age2 if inrange(week, -4, 4) & we…
multivariate multiple random effects regressionsHey all, I am doing a research about the effect a dummy has on multiple dependent variables while a…
Subscribe to:
Post Comments (Atom)
0 Response to Dropping multiple missing observations
Post a Comment