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Volumn 34, Issue 1, 2000, Pages 33-50

Application of hierarchical linear models to meta-analysis: Study of the Monte Carlo simulation on the functioning of traditional and Empirical-Bayes effect size

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EID: 0034134320     PISSN: 00335177     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1004799525371     Document Type: Article
Times cited : (5)

References (18)
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  • 8
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    • Hedges, L. V. (1982b). Fitting categorical models to effect sizes from a series of experiments. Journal of Educational Statistics 7: 490-499.
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    • Hedges, L.V.1
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    • Hedges, L. V. (1983a). A random effects model for effect size. Psychological Bulletin 93: 388-395.
    • (1983) Psychological Bulletin , vol.93 , pp. 388-395
    • Hedges, L.V.1
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    • Using empirical bayesian methods in bio-pharmaceutical research
    • Louis, T. A. (1991). Using empirical Bayesian methods in bio-pharmaceutical research. Statistics in Medicine 10: 811-829.
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  • 15
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    • Bayesian approaches to research synthesis
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    • (1994) The Handbook of Research Synthesis , pp. 411-422
    • Louis, T.A.1    Zelterman, D.2
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    • The use of multiple replications in IRT based Monte Carlo research
    • Barcelona
    • Stone, C. A. (1993). The use of multiple replications in IRT based Monte Carlo research. Paper presented at the European Meeting of the Psychometric Society, Barcelona.
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    • Stone, C.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.