Hello everyone,
I recently ran a few regressions from General Social Survey data and Stata automatically did some listwise deletion in my analyses. This was fine, but some analyses had far fewer respondents after the listwise deletion. The iap or "inapplicable" missing data label was rather high for a few of these.
So I am hoping to double check to make sure the missing data did not have any significant patterns. For example, I don't want the missing data to have any patterns corresponding to age, race, or gender. To do this, I just created a binary variable that grouped all the data into missing or non-missing and saw if there was any significant results with age, race, and gender. However, I have two questions about this.
1) Is this an acceptable way to find patterns in the missing data?
2) When I tried to lump the "iap" data, I got an error message from stata. It cannot recode the iap data so I am now unsure how to analyze it. (for other missing data labeled ".b", this was not a problem.
Thank you!
. recode nataid (1=1) (2=1) (3=1) (iap=2), generate (nataidmiss)
ERROR: unknown el iap in rule
I recently ran a few regressions from General Social Survey data and Stata automatically did some listwise deletion in my analyses. This was fine, but some analyses had far fewer respondents after the listwise deletion. The iap or "inapplicable" missing data label was rather high for a few of these.
So I am hoping to double check to make sure the missing data did not have any significant patterns. For example, I don't want the missing data to have any patterns corresponding to age, race, or gender. To do this, I just created a binary variable that grouped all the data into missing or non-missing and saw if there was any significant results with age, race, and gender. However, I have two questions about this.
1) Is this an acceptable way to find patterns in the missing data?
2) When I tried to lump the "iap" data, I got an error message from stata. It cannot recode the iap data so I am now unsure how to analyze it. (for other missing data labeled ".b", this was not a problem.
Thank you!
. recode nataid (1=1) (2=1) (3=1) (iap=2), generate (nataidmiss)
ERROR: unknown el iap in rule
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