Dear researchers I have one question for today
It is about the analysis of skipping questions. Most of us are familiar with questions that require skipping. For example
If the question is, do you like fruit? the answer will be yes or no
Then the next question is, if yes, which one? A .Banana B. Apple, C orange
Then, when we analyze this kind of question, it will be difficult because only the yes part will be entered into the model, but the sample size will be less than what we calculated first since we only consider the "yes.". so how can we analyze this kind of variables
What do you consider to be "difficult" about this type of survey? You seem to be concerned about sample sizes.
If I may make an assumption here: Surely you do not, or even can not, expect every subject who enters the questionnaire to be able to answer all questions, thus maintaining the same number of responses to all questions. Even if it was a 50:50 split between "yes" and "no" answers to Q1, you are forcing a subdivision in Q2 amongst different sub-groups. It's built into your questionnaire design.
Calculate some percentages: 50% of respondents "like fruit" (or whatever it is). Of these, 25% equally indicated a preference for the 3 fruits suggested and 25% suggested "other fruit". Respondents who did not like fruit preferred "bananas" 90% of the time.
Perhaps there are some qualitative statistical methods you can employ. Go talk to your local statistician, I'm sure you can get some useful advice from them.
Dear thank you for your responses
But I don't think so, you get the idea of the question
- Badges
- Science method