15. SPSS Classroom - How to Handle Missing Data in SPSS - Series Mean & Linear Interpolation Methods

[@muhammadaamirkhan8182]

What percentage of the missing data is acceptable to impute? For example, if I have a response that has 11.90% of missing data, so, should I delete it or include it in the imputation process? Please advise, thanks.

[@researchwithfawad]

There is no acceptable criteria for missing data. Some suggest 5% while others have suggested other %ages. Imputation shall be considered after assessing if there is not too much of respondent misconduct. Like 50% of the questionnaire was not filled properly or no or little standard deviation.

[@annierafiq7275]

How to deal with categorical missing data like number of cigarettes consumed in a week?

[@researchwithfawad]

It cannot be estimated based on the values on other values. The response may be removed from further analysis.

[@annierafiq7275]

@@researchwithfawad thanks, i spent my 5 hours looking for videos related to this,

[@NURZAHIRAHMOHDNASIR]

If i have more than 50% missing data , which method is the best?

[@researchwithfawad]

You need to recollect the data.