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

The Basic Language of Statistics

This chapter is an introduction to statistics and to quantitative methods. It explains the basic language used in statistics, the notion of a data file, the distinction between descriptive and inferential statistics, and the basic concepts of statistics and quantitative methods.

After studying this chapter, you should know:

  • the basic vocabulary of statistics and of quantitative methods;
  • what an electronic data file looks like, and how to identify cases and variables;
  • the different uses of the term ‘statistics’;
  • the basic definition of descriptive and inferential statistics;
  • the type of variables and of measurement scales;
  • how concepts are operationalized with the help of indicators.
Introduction: Social Sciences and Quantitative Methods

Social sciences aim to study social phenomena – that is, human collective behavior, the culture that sustains it, ...

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