Coping with crime : individual and neighborhood reactions
著者
書誌事項
Coping with crime : individual and neighborhood reactions
（Sage library of social research, v. 124）
Sage Publications, c1981
- pbk.
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注記
Bibliography: p. 269-278
Includes index
内容説明・目次
- 巻冊次
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ISBN 9780803916326
内容説明
`...the authors have clearly tackled, over several years, a variety of problems and have brought to bear on them a wide range of statistical techniques...These techniques are presented in an eminently readable way and were clearly investigated in response to real problems arising from the data. The book would thus serve well as revision reading for students of statistics...may be another contribution from the field of educational research which proves to be of major importance to social science in general.' -- The British Journal of Mathematical and Statistical Psychology, Vol 35, Part 2, November 1982
`This book does much to show the way, point out the pitfalls, and indicate the potential rewards to the user of meta-analysis. No other single source achieves these goals as well or as completely as does Meta-Analysis in Social Research...an excellent introduction to methods for the quantitative synthesis of research in the social sciences.' -- Contemporary Education Review, Fall 1982, Vol 1 No 3
- 巻冊次
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pbk. ISBN 9780803916333
内容説明
How is a social scientist to cope with the cornucopia of already existing studies in his or her area? How to draw useable conclusions from a body of work that might run to 5000 items? Traditional narrative integration fails to usefully portray such accumulated knowledge. Meta-analysis is an approach that systematically analyzes and synthesizes research. This book is its first full explanation. Meta-analysis treats a field of research as a complex set of data to be accumulated and integrated. As such it has much in common with survey research -- though, as causal relationships may have already been established by the studies being surveyed meta-analysis need not suffer from the limitations of survey research as a tool for establishing causes. Besides showing how to derive generalizations from very large and divergent bodies of research, the authors also provide ways for enhancing the findings of few or small research studies, and techniques for evaluating the findings of individual experiments by contrasting them with the combined weight of findings from other studies. Their approach does not enforce uniformity on different research. Instead, it is a way to enhance clarity, explicitness and openness in research reviews. Its use will speed the first step of most research projects -- to see what has been done before -- and will help researchers to avoid costly research duplication.
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