000 02503cam a2200325 a 4500
008 130926s2015 caua b 001 0 eng
010 _a 2013039086
020 _a9781452286891
040 _aDLC
_beng
_cDLC
_dDLC
042 _apcc
050 0 0 _aHA29
_b.H847 2015
082 0 0 _a300.72
_223
100 1 _aSchmidt, Frank L.
245 1 0 _aMethods of meta-analysis :
_bcorrecting error and bias in research findings /
_cFrank L. Schmidt; John E. Hunter
250 _a3rd ed.
260 _aLos Angeles :
_bSAGE,
_cc2015.
300 _axxxii, 639 p. :
_bill. ;
_c26 cm.
504 _aIncludes bibliographical references (p. 577-609) and indexes.
505 0 _aIntegrating research finding across studies -- Study artifacts and their impact on study outcomes -- Meta-analysis of correlations corrected individually for artifacts -- Meta-analysis of correlations using artifact distributions -- Technical questions in meta-analysis of correlations -- Treatment effects : experimental artifacts and their impact -- Meta-analysis methods for d values -- Technical questions in meta-analysis of d values -- General technical issues in meta-analysis -- Cumulation of findings within studies -- Different meta-analysis methods and related software -- Locating, evaluating, selecting, and coding studies and presentation of meta-analysis results.
650 0 _aSocial sciences
_xStatistical methods
650 0 _aMeta-analysis
035 _a(IMchF)fol14982608
520 _aDesigned to provide researchers clear and informative insight into techniques of meta-analysis, the Third Edition of Methods of Meta-Analysis: Correcting Error and Bias in Research Findings is the most comprehensive text on meta-analysis available today. It is the only book that presents a full and usable treatment of the role of study artifacts in distorting study results, as well as methods for correcting results for such biases and errors. Meta-analysis is arguably the most important methodological innovation in the last thirty-five years, due to its immense impact on the development of cumulative knowledge and professional practice. This text, now in its updated Third Edition, has been revised to cover the newest developments in meta-analysis methods, evaluation, correction, and more. This reader-friendly book is the definitive resource on meta-analysis.
650 7 _aData analysis
_2sears
700 _aHunter, John E.
005 20170126100842.0
001 61273
003 UOWD
942 _cREGULAR
999 _c27246
_d27246