The SPSS syntax around missing variables is not intuitive and confusing! I know of 3 different types of commands and knowing which one to use when is not clear. This video gives a short demo of how to use the three that I use frequently
TLDR: The video demonstrates different syntax code options for handling missing values in SPSS, including substitution, marking as missing, and excluding from statistics.
1. 00:00 📝 The video demonstrates syntax code for handling missing values in SPSS, including substituting with a mean or other value, using if-then statements, and defining missing values.
2. 00:29 💡 There are three different ways to handle missing values in SPSS syntax, depending on the specific task at hand.
3. 01:03 💡 Replace all missing values in the variable "fare" with 999 in SPSS syntax.
4. 01:46 📝 To find missing values in SPSS, use the syntax "missing values" followed by the variable name and the desired value in brackets, which will not delete the values but mark them as missing.
5. 02:34 📝 The maximum value is eight because missing values are defined as 999, but when the missing value is changed to seven, the maximum becomes 999 and the mean becomes unreliable.
6. 02:58 📝 The speaker demonstrates how to use a range of values in SPSS syntax to recode missing values.
7. 03:40 💡 Any number over 10 is considered missing and can be excluded from statistics by using SPSS syntax.
8. 04:27 💡 When writing SPSS syntax for missing values, use the code "var = cismus" instead of "var = 999" to ensure accurate results.
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