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Volumn 8, Issue 4, 2017, Pages 435-450

Assessing meta-regression methods for examining moderator relationships with dependent effect sizes: A Monte Carlo simulation

Author keywords

dependency; meta analysis; meta regression; robust variance estimation; three level model

Indexed keywords

ALGORITHM; COMPUTER SIMULATION; HUMAN; META ANALYSIS (TOPIC); MONTE CARLO METHOD; REGRESSION ANALYSIS; REPRODUCIBILITY; STATISTICAL ANALYSIS; STATISTICAL BIAS; STATISTICAL MODEL;

EID: 85019698524     PISSN: None     EISSN: 17592887     Source Type: Journal    
DOI: 10.1002/jrsm.1245     Document Type: Article
Times cited : (49)

References (44)
  • 4
    • 84902749110 scopus 로고    scopus 로고
    • Identifying interesting variables and analysis opportunities
    • In, Cooper H, Hedges LV, Valentine JC, eds., 2nd, ed., New York, Russell Sage Foundation
    • Lipsey MW. Identifying interesting variables and analysis opportunities. In: Cooper H, Hedges LV, Valentine JC, eds. The Handbook of Research Synthesis and Meta-analysis. 2nd ed. New York: Russell Sage Foundation; 2009:147-158.
    • (2009) The Handbook of Research Synthesis and Meta-analysis , pp. 147-158
    • Lipsey, M.W.1
  • 5
    • 70349235819 scopus 로고    scopus 로고
    • Understanding heterogeneity in meta-analysis: the role of meta-regression
    • Baker WL, White CM, Cappelleri JC, Kluger J, Coleman CI, Health Outcomes, Policy, and Economics (HOPE) Collaborative Group. Understanding heterogeneity in meta-analysis: the role of meta-regression. Int J Clin Pract. 2009;63:1426-1434.
    • (2009) Int J Clin Pract , vol.63 , pp. 1426-1434
    • Baker, W.L.1    White, C.M.2    Cappelleri, J.C.3    Kluger, J.4    Coleman, C.I.5
  • 6
    • 0037098178 scopus 로고    scopus 로고
    • How should meta-regression analyses be undertaken and interpreted?
    • Thompson SG, Higgins JPT. How should meta-regression analyses be undertaken and interpreted? Stat Med. 2002;21:1559-1573.
    • (2002) Stat Med , vol.21 , pp. 1559-1573
    • Thompson, S.G.1    Higgins, J.P.T.2
  • 7
    • 68049124544 scopus 로고    scopus 로고
    • Hierarchical dependence in meta-analysis
    • Stevens JR, Taylor AM. Hierarchical dependence in meta-analysis. J Educ Behav Stat. 2009;34:46-73.
    • (2009) J Educ Behav Stat , vol.34 , pp. 46-73
    • Stevens, J.R.1    Taylor, A.M.2
  • 8
    • 84861352446 scopus 로고    scopus 로고
    • Use of the estimated intraclass correlation for correcting differences in effect size by level
    • Ahn S, Myers ND, Jin Y. Use of the estimated intraclass correlation for correcting differences in effect size by level. Behav Res Meth. 2012;44:490-502.
    • (2012) Behav Res Meth , vol.44 , pp. 490-502
    • Ahn, S.1    Myers, N.D.2    Jin, Y.3
  • 10
    • 84959360130 scopus 로고    scopus 로고
    • Robust variance estimation in meta-regression with dependent effect size estimates
    • Hedges LV, Tipton E, Johnson MC. Robust variance estimation in meta-regression with dependent effect size estimates. Res Synth Meth. 2010;1:39-65.
    • (2010) Res Synth Meth , vol.1 , pp. 39-65
    • Hedges, L.V.1    Tipton, E.2    Johnson, M.C.3
  • 13
    • 84883750801 scopus 로고    scopus 로고
    • Stochastically dependent effect sizes: Random-effects models
    • In, Cooper H, Hedges LV, Valentine JC, eds., 2nd, ed., New York, Russell Sage Foundation
    • Gleser LJ, Olkin I. Stochastically dependent effect sizes: Random-effects models. In: Cooper H, Hedges LV, Valentine JC, eds. The Handbook of Research Synthesis and Meta-analysis. 2nd ed. New York: Russell Sage Foundation; 2009:357-376.
    • (2009) The Handbook of Research Synthesis and Meta-analysis , pp. 357-376
    • Gleser, L.J.1    Olkin, I.2
  • 14
    • 84919445842 scopus 로고    scopus 로고
    • Robust variance estimation in meta-regression with binary dependent effects
    • Tipton E. Robust variance estimation in meta-regression with binary dependent effects. Res Synth Meth. 2013;4:169-187.
    • (2013) Res Synth Meth , vol.4 , pp. 169-187
    • Tipton, E.1
  • 15
    • 0033123454 scopus 로고    scopus 로고
    • Averaging dependent effect sizes in meta-analysis: a cautionary note about procedures
    • Marín-Martínez F, Sánchez-Meca J. Averaging dependent effect sizes in meta-analysis: a cautionary note about procedures. Span J Psychol. 1999;2:32-38.
    • (1999) Span J Psychol , vol.2 , pp. 32-38
    • Marín-Martínez, F.1    Sánchez-Meca, J.2
  • 16
    • 0001664716 scopus 로고
    • Meta-analytic procedures for combining studies with multiple effect sizes
    • Rosenthal R, Rubin DB. Meta-analytic procedures for combining studies with multiple effect sizes. Psychol Bull. 1986;99:400-406.
    • (1986) Psychol Bull , vol.99 , pp. 400-406
    • Rosenthal, R.1    Rubin, D.B.2
  • 17
    • 80051781370 scopus 로고    scopus 로고
    • Multivariate meta-analysis: potential and promise
    • Jackson D, Riley R, White IR. Multivariate meta-analysis: potential and promise. Stat Med. 2011;30:2481-2498.
    • (2011) Stat Med , vol.30 , pp. 2481-2498
    • Jackson, D.1    Riley, R.2    White, I.R.3
  • 18
    • 84902513191 scopus 로고    scopus 로고
    • Modeling dependent effect sizes with three-level meta-analyses: a structural equation modeling approach
    • Cheung MWL. Modeling dependent effect sizes with three-level meta-analyses: a structural equation modeling approach. Psychol Meth. 2014;19:211-229.
    • (2014) Psychol Meth , vol.19 , pp. 211-229
    • Cheung, M.W.L.1
  • 19
    • 85167505006 scopus 로고    scopus 로고
    • Fixed effects and variance components estimation in three-level meta-analysis
    • Konstantopoulos S. Fixed effects and variance components estimation in three-level meta-analysis. Res Synth Meth. 2011;2:61-76.
    • (2011) Res Synth Meth , vol.2 , pp. 61-76
    • Konstantopoulos, S.1
  • 21
  • 22
    • 84902750259 scopus 로고    scopus 로고
    • Analyzing effect sizes: Random-effects models
    • In, Cooper H, Hedges LV, Valentine JC, eds., 2nd, ed., New York, Russell Sage Foundation
    • Raudenbush SW. Analyzing effect sizes: Random-effects models. In: Cooper H, Hedges LV, Valentine JC, eds. The Handbook of Research Synthesis and Meta-analysis. 2nd ed. New York: Russell Sage Foundation; 2009:295-315.
    • (2009) The Handbook of Research Synthesis and Meta-analysis , pp. 295-315
    • Raudenbush, S.W.1
  • 23
    • 22544444917 scopus 로고    scopus 로고
    • A note on variance estimation in random effects meta-regression
    • Sidik K, Jonkman JN. A note on variance estimation in random effects meta-regression. J Biopharm Stat. 2005;15:823-838.
    • (2005) J Biopharm Stat , vol.15 , pp. 823-838
    • Sidik, K.1    Jonkman, J.N.2
  • 25
    • 79955482035 scopus 로고    scopus 로고
    • A new heteroskedasticity-consistent covariance matrix estimator for the linear regression model
    • Cribari-Neto F, Da Silva WB. A new heteroskedasticity-consistent covariance matrix estimator for the linear regression model. Adv Stat Anal. 2011;95:129-146.
    • (2011) Adv Stat Anal , vol.95 , pp. 129-146
    • Cribari-Neto, F.1    Da Silva, W.B.2
  • 26
    • 0000921289 scopus 로고
    • Some heteroskedastity-consistent covariance matrix estimators with improved finite sample properties
    • MacKinnon JG, White H. Some heteroskedastity-consistent covariance matrix estimators with improved finite sample properties. J Econometrics. 1985;29:305-325.
    • (1985) J Econometrics , vol.29 , pp. 305-325
    • MacKinnon, J.G.1    White, H.2
  • 27
    • 84941261747 scopus 로고    scopus 로고
    • Small sample adjustments for robust variance estimation with meta-regression
    • Tipton E. Small sample adjustments for robust variance estimation with meta-regression. Psychol Meth. 2015;20:375-393.
    • (2015) Psychol Meth , vol.20 , pp. 375-393
    • Tipton, E.1
  • 28
    • 34248348703 scopus 로고    scopus 로고
    • Bias reduction in standard errors for linear regression with multi-stage samples
    • Bell RM, McCaffrey DF. Bias reduction in standard errors for linear regression with multi-stage samples. Surv Meth. 2002;28:169-181.
    • (2002) Surv Meth , vol.28 , pp. 169-181
    • Bell, R.M.1    McCaffrey, D.F.2
  • 31
    • 84959324926 scopus 로고    scopus 로고
    • Robust variance estimation with dependent effect sizes: practical considerations including a software tutorial in Stata and SPSS
    • Tanner-Smith EE, Tipton E. Robust variance estimation with dependent effect sizes: practical considerations including a software tutorial in Stata and SPSS. Res Synth Meth. 2014;5:13-30.
    • (2014) Res Synth Meth , vol.5 , pp. 13-30
    • Tanner-Smith, E.E.1    Tipton, E.2
  • 33
    • 0141480843 scopus 로고    scopus 로고
    • Multilevel meta-analysis: a comparison with traditional meta-analytical procedures
    • Van den Noortgate W, Onghena P. Multilevel meta-analysis: a comparison with traditional meta-analytical procedures. Educ Psychol Meas. 2003;63:765-790.
    • (2003) Educ Psychol Meas , vol.63 , pp. 765-790
    • Van den Noortgate, W.1    Onghena, P.2
  • 34
    • 0037277310 scopus 로고    scopus 로고
    • Using mixed-effects models in reliability generalization studies
    • Beretvas SN, Pastor DA. Using mixed-effects models in reliability generalization studies. Educ Psychol Meas. 2003;63:75-95.
    • (2003) Educ Psychol Meas , vol.63 , pp. 75-95
    • Beretvas, S.N.1    Pastor, D.A.2
  • 36
    • 34547449699 scopus 로고    scopus 로고
    • School-based interventions for aggressive and disruptive behavior: update of a meta-analysis
    • Wilson SJ, Lipsey MW. School-based interventions for aggressive and disruptive behavior: update of a meta-analysis. Am J Prev Med. 2007;33:S130-S143.
    • (2007) Am J Prev Med , vol.33 , pp. S130-S143
    • Wilson, S.J.1    Lipsey, M.W.2
  • 37
    • 0037306634 scopus 로고    scopus 로고
    • The effects of school-based intervention programs on aggressive and disruptive behavior: a meta-analysis
    • Wilson SJ, Lipsey MW, Derzon JH. The effects of school-based intervention programs on aggressive and disruptive behavior: a meta-analysis. J Consult Clin Psychol. 2003;2003(71):136-149.
    • (2003) J Consult Clin Psychol , vol.2003 , Issue.71 , pp. 136-149
    • Wilson, S.J.1    Lipsey, M.W.2    Derzon, J.H.3
  • 38
    • 77958110812 scopus 로고    scopus 로고
    • Conducting meta-analyses in R with the metafor package
    • Viechtbauer W. Conducting meta-analyses in R with the metafor package. J Stat Software. 2010;36:1-48.
    • (2010) J Stat Software , vol.36 , pp. 1-48
    • Viechtbauer, W.1
  • 39
    • 84926615623 scopus 로고    scopus 로고
    • metaSEM: an R package for meta-analysis using structural equation modeling
    • Cheung MWL. metaSEM: an R package for meta-analysis using structural equation modeling. Front Psych. 2015;5:1521
    • (2015) Front Psych , vol.5 , pp. 1521
    • Cheung, M.W.L.1
  • 40
    • 79954629131 scopus 로고    scopus 로고
    • OpenMx: an open source extended strucutral equation modeling framework
    • Boker S, Neale M, Maes H, et al. OpenMx: an open source extended strucutral equation modeling framework. Psychometrika. 2011;76:306-317.
    • (2011) Psychometrika , vol.76 , pp. 306-317
    • Boker, S.1    Neale, M.2    Maes, H.3
  • 41
    • 0007183545 scopus 로고    scopus 로고
    • Testing continuous moderators in meta-analysis: a comparison of procedures
    • Sánchez-Meca J, Marín-Martínez F. Testing continuous moderators in meta-analysis: a comparison of procedures. Br J Math Stat Psychol. 1998;51:311-326.
    • (1998) Br J Math Stat Psychol , vol.51 , pp. 311-326
    • Sánchez-Meca, J.1    Marín-Martínez, F.2
  • 42
    • 85101510947 scopus 로고    scopus 로고
    • A basic introduction to fixed-effect and random-effects models for meta-analysis
    • Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. A basic introduction to fixed-effect and random-effects models for meta-analysis. Res Synth Meth. 2010;1:97-111.
    • (2010) Res Synth Meth , vol.1 , pp. 97-111
    • Borenstein, M.1    Hedges, L.V.2    Higgins, J.P.T.3    Rothstein, H.R.4


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