Designing Social Research aims to guide students and new researchers using everyday non-jargonised language through the jungle of setting up their own research study. Ian Greener provides readers an accessible combination of guidance on how to practically plan one's research and understand the underpinning methodological principles that should inform the decisions we make about the methods we plan to use. This is the perfect starter book for anyone looking to design their own research project and make sense of and justify the many decisions that go into the research design process. The goal throughout is to enable students and researchers to assess the appropriateness of a range of methods and to get understanding of the strengths and limitations of different approaches to research. Greener highlights key debates in the field both philosophical and practical and presents them in such a way that they remain constantly relevant to research practice of his readers. Coverage includes: framing an effective research question/problem; examining the jargon of social research; the links between theory, methodology and method; the role of literature reviewing in research design; managing and planning the research process; sampling; qualitative designs; quantitative designs; mixed methods designs; and data analysis. Designing Social Research will be ideal first reading for M-level students and undergraduates planning significant research projects for their dissertations. It will also be invaluable to first year PhD students considering how they will go about their research projects.
Challenging the formality and idealized settings of conventional methods teaching and opting instead for a real world approach to social research this book offers frank, practical advice designed to empower students and researchers alike.
Theoretically robust and with an exhaustive coverage of key methodologies and methods the title establishes the cornerstones of social research. Examples reflect research conducted inside and outside formal university settings and range from the extremes of war torn countries to the complexities of school classrooms.
Supported by a wealth of learning features and tools the textbook and website include:
· Video top tips
· Full text journal articles
· Interviews with researchers conducting field research
· Links to external websites and blogs
· Student exercises
· Real world case studies
Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment prior to the experiment being performed. Many funding agencies and institutional review boards now require power analyses to be carried out before they will approve experiments, particularly where they involve the use of human subjects. This comprehensive, yet accessible, book provides practising researchers with step-by-step instructions for conducting power/sample size analyses, assuming only basic prior knowledge of summary statistics and the normal distribution. It contains a unified approach to statistical power analysis, with numerous easy-to-use tables to guide the reader without the need for further calculations or statistical expertise. This will be an indispensable text for researchers and graduates in the medical and biological sciences needing to apply power analysis in the design of their experiments.
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