• Summary
  • Contents
  • Subject index

A must-have reference resource for qualitative management researchers, this dictionary contains over 90 entries covering the fundamentals of qualitative methodologies; covering both analysis and implementation. Each entry gives an introduction to the topic, lists the key relevant features, gives a worked example, a concise summary and a selection of further reading suggestions. It is suitable for researchers and academics who need a handy and quick point of reference.

Data Set Structure
Data set structure

The analysis, description and graphing of data requires not only the appropriate coding of the data (see entries Measurement Scales and data coding) but also the arrangement of the data into specific structures. Structuring a data set correctly is not a trivial skill and can cause problems, particularly for those who are not used to dealing with data sets or statistical analysis software. One source of confusion is that data can be represented in a number of different ways and is often presented in tables using a structure that does not lend itself easily to analytical work.

In this entry I outline some methods of structuring data based on analytical needs and make a distinction between data tables, where the aim ...

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