Missing value patterns

It can be useful to perform a pattern analysis of valid and missing patterns across a set of variables. In this section, we will present a way to do so using IBM SPSS Statistics syntax. We will present the syntax without too much comment, as other chapters will elaborate on the commands featured here.

Here is a snapshot of the first 10 rows of GSS2014, which show the individual values for four education variables--EDUC, PAEDUC, MAEDUC, and SPEDUC:

For each of these variables, valid responses range from 0 through 20, while there are various missing codes to represent "Don't know," "No Answer," and "Inapplicable." Inspection ...

Get Data Analysis with IBM SPSS Statistics now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.