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

Correlation and the Regression Line

The purpose of this chapter is to examine the meaning of statistical association between two quantitative variables. You should keep in mind that two levels are involved here: the sample and the population. There is a distinction between asserting that there is an association between variables on a sample, and asserting that this association is also present at the level of the whole population. This chapter discusses both issues. The measure of statistical association depends on the level of measurement of the variables involved. Subsequent chapters will deal with the cases where one variable or both are categorical, that is, measured on a nominal scale. The interpretation of statistical association as a qualitative relationship between the variables (explanation, ...

  • Loading...
locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles