This is an ideal text for advanced courses in research methods and experimental design. It argues that the methodology of quantitative research is a unified discipline with basic notions, procedures and ways of reasoning which can be applied across the social, behavioural and life sciences. Key designs, models and methods in research are covered by leading contributors in their field who seek to explain the fundamentals of the research process to enable the student to understand the broader implications and unifying themes.

Meta data: well-defined models of data sets

4.1 Introduction

Statistical analysis works with data. Most of the work is not in data analysis, but in planning, collecting, cleaning, combining and manipulating data sets, and producing the report. In practice this is no trivial affair. Various directions have been pursued to provide computer support beyond data storage and statistical analysis: statistical expert systems, computerized questionnaires, generation of experimental designs to name ...

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