12. How can you handle missing values in a dataset?

The sample answer is…

1. Listwise deletion – in listwise deletion method, an entire record is excluded from analysis if any single value is missing

2. Average imputation – use the average value of the responses from the other participants to fill in the missing value

3. Regression substitution – You can use multiple-regression analysis to estimate a missing value

4. Multiple imputation - It creates plausible values based on the correlations for the missing data and then averages the simulated datasets by incorporating random errors in your predications.

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