000 | 01708nam a2200289Ia 4500 | ||
---|---|---|---|
999 |
_c1300 _d1300 |
||
003 | DE-boiza | ||
005 | 20200116125931.0 | ||
008 | 191008 | ||
020 | _a0-470-05724-6 | ||
040 | _cIZA | ||
100 |
_aBorenstein, Michael _93720 _c(ed.) |
||
100 |
_aHedges, Larry V. _c(ed.) _96475 |
||
100 |
_aHiggings, Julian P.T. _c(ed.) _96476 |
||
100 |
_aRothstein, Hannah R. _c(ed.) _96477 |
||
245 | 0 | _aIntroduction to Meta-Analysis | |
260 |
_c2009 _bWiley, _aChichester, U.K., |
||
300 | _a421 pages | ||
340 | _hC8 130 | ||
520 | _aThis book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects Explains the fixed-effect and random-effects models for synthesizing data Demonstrates how to assess and interpret variation in effect size across studies Clarifies concepts using text and figures, followed by formulas and examples Explains how to avoid common mistakes in meta-analysis Discusses controversies in meta-analysis Features a web site with additional material and exercises | ||
650 |
_adata analysis _91118 |
||
650 |
_ameta analysis _96425 |
||
650 |
_aheterogeneity _96478 |
||
650 |
_amodels _95356 |
||
653 | _acomplex data structures | ||
856 |
_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9780470743386 _yPublisher's website |
||
942 |
_cANTH _2ddc |