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.
Inferential Analysis: From Sample to Population
Inferential Analysis: From Sample to Population
Introduction
Inferential analysis is used to generalize the results obtained from a random (probability) sample back to the population from which the sample was drawn. This analysis is only required when:
- a sample is drawn by a random procedure; and
- the response rate is very high.
Hence, this type of analysis is not appropriate ...
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