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 Research Process

The production, exploration, analysis, and interpretation of quantitative data are usually done as part of a research process. Understanding the stages involved in such a process allows for a better use of quantitative data, and for a more rigorous interpretation of the results. This chapter explains the basic steps involved in the research process. It also explains briefly three specific types of research that produce and use quantitative data: surveys, experiments, and archival research. We will also discuss briefly the ethical considerations that must be taken care of when conducting any social research.

After studying this chapter, you should be able to understand:

  • the broad steps needed to complete any research (quantitative or qualitative);
  • the role and importance of theory in orienting an empirical ...
  • 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