Which of the following is NOT an alternative for the treatment of unsatisfactory responses? a.return the questionnaire to the field to get better datab.assign missing valuesc.discard unsatisfactory respondentsd.try to guess what respondents meante.c and d above

Missing responses represent values of a variable that are unknown, either because respondents provided ambiguous answers or their answers were not properly recordedSelect one:TrueFalse

How we can deal with missing data? Please select all that apply. Using other questions as a guide to arrive at an answer. Replacing the missing value with a value from a different respondent. Using the mean of a subsample of similar respondents. Using the mean of the entire sample.

Which of the following is NOT a recommended way of dealing with missing values:Group of answer choicesPut a NULL where there is a missing valueRemove the whole column if there are missing values in some row of that columnUse a model with predicts the missing value from the other fieldsRemove the whole row if there are missing values in some column of that row

How does a researcher handle "Don't Know" responses during data preparation?  A. Exclude those responses from the analysis  B. Assign a neutral value to "Don't Know"  C. Treat them as missing data  D. Convert them to qualitative data

(a) consider a medical study where participants were asked to complete a survey about their health status. If some participants did not complete the survey because they forgot or lost the survey, the missing data is (b) consider a survey about income where participants are asked to report their income, education level, and age. If some younger participants did not report their income, the missing data is (c) consider a clinical trial, where participants are asked to complete a questionnaire about their pain level. Participants who experience higher levels of pain skip or refuse to answer questions related to their pain, the missing data is