The Second Edition of Interpreting Quantitative Data with IBM SPSS Statistics is an invaluable resource for students analyzing qualitative data with IBM SPSS Statistics for the first time. The book clearly sets out a range of statistical techniques and their common applications, explaining their logic and links to the research process. It also shows how IBM SPSS Statistics can be used as a tool to aid analysis. Key Features of the Second Edition: • New chapters on ANOVA Factor Analysis and General Multilinear Model • IBM SPSS Statistics lab sessions following each chapter which demonstrate how IBM SPSS Statistics can be used in practice • Sets of exercises and ‘real-life’ examples to aid teaching and learning • Lists of key terms and further reading to enhance students' understanding • An improved text design making the book easier to navigate

Creating New Variables with SPSS

When you start analyzing your data, you will often need to create new variables, which can help you answer your research questions, or simply explore the data further. For instance, you may have the grades of students in several courses, and you want the overall average grade obtained by each student. Or you may need to compute the percentage of students who got a grade higher than 80%. This chapter explains how to compute new variables with SPSS, and a few other data manipulations. The tutorial at the end of the chapter will allow you to practice these procedures.

After studying this chapter, you should know:

  • how to use the Compute command to create new variables with arithmetic operations;
  • how to ...
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