Timeline for Missing values - for cases of "I do not know" or "Does not apply"
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 30, 2014 at 0:21 | comment | added | Steve S | There's a big difference between data that's merely lost/missing as a result of chance and data which is systematically missing. | |
| Jul 29, 2014 at 20:44 | answer | added | jyfan | timeline score: 1 | |
| Jul 29, 2014 at 20:02 | comment | added | Lucy | My research is in the field of business so the respondents give their perception regarding a phenomenon in this field. In the case of the field of medicine yes, the problems are more clear, less interpretable. But I am not sure this is the case in business. I am interested if it is okay to impute these kind of answers or not. I need to undertake factor analysis, correlations analysis and regression analysis. Can I interpreted from your answer, Alexis, that it is okay to impute them? I used only a single option, named "I do not know/Does not apply". | |
| Jul 29, 2014 at 19:42 | comment | added | Alexis | I very much agree with @whuber 's comments. That said, multiple imputation can be improved by incorporating different kinds of missingness into the imputation model itself (e.g. in some cases "refuse" to answer missing values could reasonably have a different imputation model than "don't recall" missing values; same for "don't know", etc.). | |
| Jul 29, 2014 at 19:27 | comment | added | whuber♦ | Take the pregnancy analogy to heart: it seems you would impute perceptions to people who say they are not even applicable. That sounds like the same kind of mistake to me. This suggests there may be a sharp distinction between "do not know" and "does not apply" answers. | |
| Jul 29, 2014 at 19:24 | comment | added | Lucy | I am interested in the perception of the respondents regarding certain issues so if something is not applicable from their point of view, this does not neccesarily mean it is not applicable in general. | |
| Jul 29, 2014 at 19:21 | comment | added | whuber♦ | Re the "does not apply" option: Are you suggesting you would impute values where the respondents say they are not even applicable? For instance, would you really try to use the female responses to a health questionnaire to impute the numbers of pregnancies that male respondents have had? | |
| Jul 29, 2014 at 19:16 | history | asked | Lucy | CC BY-SA 3.0 |