How to Handle Missing Data in your Research
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- Опубліковано 14 жов 2024
- This video is going to address why data goes missing and then gives step by step instructions on how to determine if you have missing data and how to impute missing data through SPSS. If you are looking for more information on data cleaning, check out my book that is sold at most major booksellers.
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Thank you for explaining this. The literature is a nightmare on this!
Brilliant explanation, thank you!
Well explained thank you. What about K nearest neighbour method? Does the method to be chosen depends on the type of data? Such as air quality data!
You can use nearest neighbor method especially if you think there is consistency of response before and after the missing data. It is not used as much as the others but again if you think the missing data is consistent with its neighbors then it is a perfectly acceptable way to handle it.
To deleteee🥺🥺