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.
Question
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.
Solution
To deal with missing data, you can use several methods:
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Using other questions as a guide to arrive at an answer: This method involves using the responses to other related questions to infer the missing data. This is often used when the missing data is a result of a skipped question in a survey.
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Replacing the missing value with a value from a different respondent: This method is not typically recommended as it can introduce bias into your data. It's better to use a method that is based on the data you have, rather than arbitrarily assigning a value from another respondent.
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Using the mean of a subsample of similar respondents: This method involves identifying a group of respondents who are similar to the one with the missing data, and then using the mean of their responses to fill in the missing value. This can be a good option if you have a large enough sample size to identify a similar group.
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Using the mean of the entire sample: This method involves calculating the mean of all the responses and using that value to fill in the missing data. This can be a good option if your data is normally distributed, but it can introduce bias if your data is skewed or has outliers.
So, the methods that apply are: Using other questions as a guide to arrive at an answer, Using the mean of a subsample of similar respondents, and Using the mean of the entire sample.
Similar Questions
When to use the mean for the missing data imputation
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