Understanding Social Science Research
Understanding Social Science Research
Hardback
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- Barcode: 9780761973683
- Genre: Society & Culture
- Imprint Family: Sage
- Label: SAGE Publications Inc
- Publisher Family: Sage Publications
- Publisher: SAGE Publications Inc
- Subgenre: Social Sciences

Understanding Social Science Research
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DESCRIPTION
Explains how students can evaluate research, with particular emphasis on research involving some aspect of measurement. This book covers: a range of research designs; a section on research ethics; item analysis; the definition of standard deviation with a guide for calculation; the concept of 'power' in statistical inference; and more. Each of the chapters from the New Edition has been thoroughly updated, with particular emphasis on improving and increasing the range of activities for students. As well, coverage has been broadened to include: a wider range of research designs; a section on research ethics; item analysis; the definition of standard deviation with a guide for calculation; the concept of `power′ in statistical inference; calculating correlations; and a description of the difference between parametric and non-parametric tests in terms of research questions. Understanding Social Science Research: An Introduction 2nd Edition will be key reading for undergraduate and postgrduate students in research methodology and evaluation across the social sciences.
The ability to read published research critically is essential and is different from the skills involved in undertaking research using statistical analysis. This New Edition of Thomas R Black′s best-selling text explains in clear and straightforward terms how students can evaluate research, with particular emphasis on research involving some aspect of measurement. The coverage of fundamental concepts is comprehensive and supports topics including research design, data collection and data analysis by addressing the following major issues: Are the questions and hypotheses advanced appropriate and testable? Is the research design sufficient for the hypothesis? Is the data gathered valid, reliable and objective? Are the statistical techniques used to analyze the data appropriate and do they support the conclusions reached?
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