| 000 | 03121nam a22003855i 4500 | ||
|---|---|---|---|
| 001 | 978-1-4614-2278-5 | ||
| 003 | DE-He213 | ||
| 005 | 20140220083245.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 120130s2012 xxu| s |||| 0|eng d | ||
| 020 |
_a9781461422785 _9978-1-4614-2278-5 |
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| 024 | 7 |
_a10.1007/978-1-4614-2278-5 _2doi |
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| 050 | 4 | _aQA276-280 | |
| 072 | 7 |
_aJHBC _2bicssc |
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| 072 | 7 |
_aSOC027000 _2bisacsh |
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| 082 | 0 | 4 |
_a519.5 _223 |
| 100 | 1 | _aPigott, Terri D. | |
| 245 | 1 | 0 |
_aAdvances in Meta-Analysis _h[electronic resource] / _cby Terri D. Pigott. |
| 260 |
_aBoston, MA : _bSpringer US, _c2012. |
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| 300 |
_aXIII, 155p. 11 illus., 5 illus. in color. _bdigital. |
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| 490 | 0 | _aStatistics for Social and Behavioral Sciences | |
| 505 | 0 | _a<p>Rationale and overview of the book -- Complexities of primary research and meta-analysis -- Fixed, random, and mixed models -- Correlations -- Effect sizes -- Proportion/odds ratio data -- Dependence in primary research and meta-analysis -- Correlations -- Effect sizes (group comparisons and change measures) -- Proportion/odds ratio data -- Bayesian approaches -- Missing data -- Combining across designs -- Qualitative studies in synthesis -- Quality assessments -- Studies on quality weighting -- Summary/Conclusions.</p>. | |
| 520 | _a<p>Meta-analysis is used increasingly in the social sciences to synthesize research results. As both primary research and the questions addressed by meta-analysis have been grown more complex, meta-analysis techniques have evolved to address these issues. This book covers a number of advances in meta-analysis that are not covered in detail in many introductory books on research synthesis. More specifically, this book discusses the planning of a meta-analysis for complex questions, computing power for tests in meta-analysis, handling missing data in meta-analysis, integrating individual data into a traditional meta-analysis and generalizing from the results of a meta-analysis. For each topic, a fully annotated example is provided with sample computer programs for the major statistical packages. This book assumes a familiarity with basic meta-analytic techniques. The goal of the book is to provide researchers with advanced strategies for strengthening the planning, conduct and interpretations of meta-analysis with complex data.</p><p>Terri D. Pigott is a Professor of Research Methodology in Loyola University Chicago’s School of Education. Her research interests are in developing new methods for meta-analysis, and the use of meta-analysis in public policy.. </p> | ||
| 650 | 0 | _aStatistics. | |
| 650 | 1 | 4 | _aStatistics. |
| 650 | 2 | 4 | _aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law. |
| 650 | 2 | 4 | _aStatistics, general. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9781461422778 |
| 830 | 0 | _aStatistics for Social and Behavioral Sciences | |
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-1-4614-2278-5 |
| 912 | _aZDB-2-SMA | ||
| 999 |
_c101248 _d101248 |
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