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

Two-Way Tables and the Chi-Squared Test

The purpose of this chapter is to examine how a statistical association is detected when the two variables are measured on a nominal scale. This entails learning to read a two-way table. You will then learn how to decide whether the association observed on a sample is valid for the whole population it comes from. This entails applying a hypothesis testing procedure known as the chi-squared test. We will also see several methods for measuring the strength of the association.

After studying this chapter, you should know:

  • how to produce and read a two-way table (manually and with SPSS);
  • how to measure the strength of an association between two qualitative variables;
  • how to use the chi-squared statistic to determine whether the association ...
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