An Intermediate Guide to SPSS Programming: Using Syntax for Data Management introduces the major tasks of data management and presents solutions using SPSS syntax. This book fills an important gap in the education of many students and researchers, whose coursework has left them unprepared for the data management issues which confront them when they begin to do independent research. It also serves as an introduction to SPSS programming; all the basic features of SPSS syntax are illustrated, as are many intermediate and advanced topics such as using vectors and loops, reading complex data files, and using the SPSS macro language.

Missing Data in SPSS

This chapter discusses different types of missing data, how missing data is handled in SPSS, and some choices you have when dealing with missing data. Topics include the following:

  • Types of missing data
  • System-missing and user-missing data
  • Looking at patterns of missing data in a data file
  • Changing the values of blanks in numeric fields
  • Treatment of missing values in SPSS commands
  • Substituting values for missing data

The effect of missing data on arithmetic operations and functions is ...

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