Summary
Contents
Subject index
What basic knowledge and skills do novice researchers in social science require? How can students be helped to over-come ‘symbol phobia’ or ‘figure blindness’? This generous and constantly insightful book is designed for social researchers who need to know what procedures to use under what circumstances, in practical research projects. It accomplishes this without requiring an in-depth understanding of statistical theory, but also avoids both trivializing procedures or resorting to ‘cookbook’ techniques. Among the key features of the book are: 1) accessibility - organization of the wide, often bewildering array of methods of data analysis into a coherent and user-friendly scheme of classification: types of analysis and levels of measurement; 2) demystification - the first chapter unpacks commonly taken-for-granted concepts such as ‘analysis’, ‘data’ and ‘quantitative’; 3) location of methods in real research problems. The book is an introduction to the theory and practice of quantitative methods.
Explanatory Analysis: Looking for Influences
Explanatory Analysis: Looking for Influences
Introduction
The ultimate and most challenging objective in quantitative social research is to establish the elements, factors or mechanisms that are responsible for producing the state of some social phenomenon, or regularities and trends in it, that is, to explain why social phenomena are as they are or behave ...
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