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

Graphical Representations

This chapter explains how to use charts and diagrams in SPSS to convey a visual impression of the characteristics of the data. The SPSS tutorial will guide you through the steps needed to perform these calculations with SPSS.

After studying this chapter, you should know:

  • how to select the appropriate diagram to represent the distribution of data;
  • how to make an appropriate choice of clustered bar graph to highlight differences between groups;
  • how histograms are drawn so as to have the area between two values represent the proportion of data between these two values;
  • how smooth curves can be thought of as a continuous extension of a histogram;
  • how to produce the various sorts of graphs with SPSS.
Introduction

The descriptive measures you have seen in Chapter 3 are very ...

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