Identifying Missing Data

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*Fourth, SPSS has an add-on module called “Missing Values Analysis” that will statistically test whether missing values are random or non-random. You can access it by clicking '''Analyze''' --> '''Missing Value Analysis''', and check EM estimation. EM estimation checks if the subjects with missing values are different than the subjects without missing values. If p<.05, then the two groups are significantly different from each other, which indicates the missing values are non-random. In other words, you want the value to be greater than .05, which indicates the missing values are random.
*Fourth, SPSS has an add-on module called “Missing Values Analysis” that will statistically test whether missing values are random or non-random. You can access it by clicking '''Analyze''' --> '''Missing Value Analysis''', and check EM estimation. EM estimation checks if the subjects with missing values are different than the subjects without missing values. If p<.05, then the two groups are significantly different from each other, which indicates the missing values are non-random. In other words, you want the value to be greater than .05, which indicates the missing values are random.
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Latest revision as of 20:53, 7 September 2009

How do I identify if missing values are random or non-random?







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