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

Univariate Descriptive Statistics

This chapter explains how data on one variable can be summarized and described with tables and other simple measures. The SPSS tutorial at the end of the chapter will guide you through the steps needed to perform these calculations with SPSS.

After studying this chapter, you should know:

  • the basic types of univariate descriptive measures;
  • how the level of measurement determines the descriptive measures to be used;
  • how to interpret these descriptive measures;
  • how to read a frequency table;
  • the differences in the significance and the uses of the mean and the median;
  • how to interpret the mean when a quantitative variable is coded;
  • how to describe the shape of a distribution (symmetry; skewness);
  • how to present data (frequency tables);
  • what are weighted means and when to use them;
  • how to ...
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