• Summary
  • Contents
  • Subject index

Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It provides a unique approach to statistics that concentrates on helping social researchers think about the conceptual basis for the statistical methods they're using.

Whereas other statistical methods books instruct students in how to get through the statistics-based elements of their chosen course with as little mathematical knowledge as possible, this book aims to improve students' statistical literacy, with the ultimate goal of turning them into competent researchers.

Making Sense of Statistical Methods in Social Research contains careful discussion of the conceptual foundation of statistical methods, specifying what questions they can, or cannot, answer. The logic of each statistical method or procedure is explained, drawing on ...

Time Matters
Time matters
Time in Social Research

It is virtually impossible to study anything social without paying attention to time, as social phenomena are always evolving. Nevertheless, data collected that measure temporal change are not easy to come by, and often social scientists have to be reminded to incorporate time into their analysis. All methods introduced in the preceding chapters are for analysing data collected at one particular time point, the so-called ‘cross-sectional data’. The best example is a population census. It is required that all data refer to an exact point of time, such as 12 am on 31 December 2000. Ideally, it should be a snapshot of every citizen of the ...

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