Timeline for Should item nonresponses be removed before calculating Welch's t-test?
Current License: CC BY-SA 3.0
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| Mar 29, 2018 at 15:08 | history | edited | Scortchi♦ | CC BY-SA 3.0 |
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| Mar 17, 2018 at 18:01 | history | edited | Scortchi♦ | CC BY-SA 3.0 |
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| Mar 17, 2018 at 16:55 | comment | added | Scortchi♦ | ... introduce, informally, some of the key ideas in the analysis of missing data relevant to this situation, but it'd be helpful to point to somewhere they could be followed up. I was thinking the early chapters of Little & Rubin, but it's a bit of a jump. | |
| Mar 17, 2018 at 16:54 | comment | added | Scortchi♦ | @Carl: I'm afraid I didn't quite follow all that - consider having another try at an answer if you don't think mine's useful. Certainly having a lot of non-responses for an item indicates a problem with it (that should have been picked up before the survey went out), & it might well be sensible to drop it from your analysis altogether if it's not of primary interest (e.g. a candidate predictor in a predictive model for responses to another item). But a few non-responses may well be unavoidable, & manageable. You're right that I could do with a reference - I wanted just to ... | |
| Mar 16, 2018 at 19:58 | comment | added | Carl | OP explicit about instruction to answer all questions. Likely the questions were biased or otherwise hopeless as despite instruction to the contrary, they went unanswered. Trump got elected despite surveys, why? Impune inappropriate questions asked of the wrong people? Biased questioning might be taken as an argument in favor of discarding question containing zeros, not zero answers. Otherwise, biased question remains to skew outcome. Converting 0's to neutral response is only one option, true enough, but your answer does not cite anything. | |
| Mar 16, 2018 at 17:20 | comment | added | Carl | (-1) Folly to exclude what one does not understand. Typically, one ignores questions that do not deserve to be answered. I deleted my response, which I think was misunderstood, badly, and wrongly. | |
| Mar 16, 2018 at 16:23 | history | edited | Scortchi♦ | CC BY-SA 3.0 |
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| Mar 16, 2018 at 15:57 | history | answered | Scortchi♦ | CC BY-SA 3.0 |