Books on meta-analysis
Cooper, H. (2016). Research synthesis and meta-analysis: A step-by-step approach, 5th Edition. Thousand Oaks, CA: Sage.
Kline, R. B. (2013). Beyond significance testing: Statistics reform in the behavioral sciences, 2ndEdition. Washington, DC: American Psychological Association.
Card, N. A. (2012). Applied meta-analysis for social science research. Guilford, New York.
Cumming, G. (2012). Understanding the new statistics: Effect sizes, confidence intervals, and meta-analysis. New York: Routledge
Ellis, P. D. (2010). The essential guide to effect sizes: Statistical power, meta-analysis, and the interpretation of research results. Cambridge: Cambridge University Press.
Cooper, H., Hedges, L. V., & Valentine, J. (Eds.) (2009). The handbook of research synthesis, 2ndEdition. New York: Russell Sage.
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis. Chichester: John Wiley & Sons, Ltd.
Higgins, J. P. T., & Green, S. (Eds.) (2008). Cochrane handbook for systematic reviews of interventions. Chichester: John Wiley & Sons, Ltd.
Petticrew, M., & Roberts, H. (2006). Systematic reviews in the social sciences. Malden, MA: Blackwell Publishing.
Whitehead, A. (2003). Meta-analysis of controlled clinical trial. Chichester: John Wiley & Sons, Ltd.
Lipsey, M., & Wilson, D. (2001). Practical meta-analysis. Thousand Oaks, CA: Sage.
Sutton, A. J., Abrams, K. R., Jones, D. R., Sheldon, T. A., & Song, F. (2000). Methods for meta-analysis in medical research. Chichester: John Wiley & Sons, Ltd.
Stangl, D. K., & Berry, D. A. (2000). Meta-analysis in medicine and health policy. New York: Marcel Dekker, Inc.
Hedges, L. V., & Olkin, I. (1985). Statistical methods for meta-analysis. San Diego, CA: Academic Press.
Introductory articles on meta-analysis
Crocetti, E. (2016). Systematic reviews with meta-analysis: Why, when, and how? Emerging Adulthood, 4 (1), 3-18.
Allen, I. E., & Olkin, I. (1999). Estimating time to conduct a meta-analysis from number of citations retrieved. Journal of the American Medical Association, 282 (7), 634-635.
Bushman, B. J., & Wells, G. L. (2001). Narrative impressions of literature: The availability bias and the corrective properties of meta-analytic approaches. Personality and Social Psychology Bulletin, 27 (9), 1123-1130.
Gliner, J. A., Morgan, G. A., Harmon, R. J. (2003). Meta-analysis: Formulation and interpretation.Journal of American Academy of Child and Adolescent Psychiatry, 42, 1376-1379.
History of meta-analysis
Eysenck, H. J. (1952). The effects of psychotherapy: An evaluation. Journal of Consulting Psychology, 16, 319-324.
Eysenk, H. J. (1978). An exercise in mega-silliness. American Psychologist,33, 517.
Glass, G. V (1976). Primary, secondary, and meta-analysis of research. Educational Researcher, 5, 3-8.
Glass, G.V (1978). Integrating findings: The meta-analysis of research. Review of Research in Education, 5, 351-379.
Hunt, M. (1997). How science takes stock: The story of meta-analysis. NY: Russell Sage Foundation.
Smith, M. L., & Glass, G. V. (1977). Meta-analysis of psychotherapy outcome studies. American Psychologist, 32, 752-60.
Fixed vs. Random effects models
Hedges, L. V., & Vevea, J. L. (1998). Fixed- and random-effects models in meta-analysis.Psychological Methods, 3, 486-504.
Heterogeneity in meta-analysis
Higgins, J., & Thompson, S. G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21, 1539-1558.
Higgins, J., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analysis. British Medical Journal, 327, 557-560.
Huedo-Medina, T. B., Sánchez-Meca, J., Marin-Martinez, F., & Botella, J., (2006). Assessing heterogeneity in meta-analysis: Q Statistic or I2 index? Psychological Methods,11 (2), 193–206.
Viechtbauer, W. (2007). Accounting for heterogeneity via random-effects models and moderator analyses in meta-analysis. Journal of psychology, 215 (2), 104-121.
Publication bias in meta-analysis
Begg, C. B. & Mazumdar, M. (1994). Operating characteristics of a rank correlation test for publication bias. Biometrics, 50, 1088-1101.
Cooper, H., DeNeve, K., & Charlton, K. (1997). Finding the missing science: The fate of studies submitted for review by a human subjects committee. Psychological Methods, 2, 447-452.
Dickersin, K. (2005). Publication bias: Recognizing the problem, understanding its origins and scope, and preventing harm. In H. R. Rothstein, A. J. Sutton, M. Borenstein (Eds.), Publication bias in meta-analysis (pp. 127-144). Chichester: John Wiley & Sons, Ltd.
Duval, S. (2005). The trim and fill method. In H. R. Rothstein, A. J. Sutton, M. Borenstein (Eds.),Publication bias in meta-analysis (pp. 11-33). Chichester: John Wiley & Sons, Ltd.
Duval, S., & Tweedie, R. (2000). A nonparametric ‘trim and fill’ method of accounting for publication bias in meta-analysis. Journal of American Statistical Association,95, 89-98.
Egger, M., Davey Smith, G., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. British Medical Journal, 315, 629-634.
Gleser, L. J., & Olkin, I. (1996). Models for estimating the number of unpublished studies.Statistics in Medicine, 15, 2493-2507.
Greenwald, A. G. (1975). Consequences of prejudice against the null hypothesis. Psychological Bulletin, 82, 1-20.
Halpern, S. D., & Berlin, J. A. (2005). Beyond conventional publication bias: Other determinants of data suppression. In H. R. Rothstein, A. J. Sutton, M. Borenstein (Eds.),Publication bias in meta-analysis (pp. 303-317). Chichester: John Wiley & Sons, Ltd.
Light, R. J., & Pillemer, D. B. (1984). Summing up: The science of reviewing research. Cambridge, MA: Harvard University Press.
Mahoney, M. J. (1977). Publication prejudices: An experimental study of confirmatory bias in the peer review system. Cognitive Therapy & Research, 1, 161-175.
Orwin, R. G. (1983). A fail-safe N for effect size in meta-analysis. Journal of Educational Statistics, 8, 157-159.
Rosenthal, R. (1979). The “file drawer problem” and tolerance for null results. Psychological Bulletin, 86, 638–641.
Rothstein, H. R., Sutton, A. J., & Borenstein, M. (Eds.) (2005). Publication bias in meta-analysis. Chichester: John Wiley & Sons, Ltd.
Smith, M. L. (1980). Publication bias and meta-analysis. Evaluation in Education, 4, 22-24.
Sterne, J. A., Becker, B. J., & Egger, M. (2005). The funnel plot. In H. R. Rothstein, A. J. Sutton, M. Borenstein (Eds.), Publication bias in meta-analysis (pp. 75-98).Chichester: John Wiley & Sons, Ltd.
Sterne, J. A., & Egger, M., (2001). Funnel plots for detecting bias in meta-analysis: Guidelines on choice of axis. Journal of Clinical Epidemiology, 54, 1046-1055.
Power of statistical tests in meta-analysis
Hedges, L. V., & Pigott, T. D. (2004). The power of statistical tests for moderators in meta-analysis. Psychological Methods, 9, 426–445.
Hedges, L. V., & Pigott, T. D. (2001). The power of statistical tests in meta-analysis. Psychological Methods,6, 203–217.
The meta-analytic approach of Hunter and Schmidt
Hunter, J. E., & Schmidt, F. L. (2014). Methods of meta-analysis: Correcting Error and Bias in Research Findings (3nd ed.). Newbury Park, CA: Sage Publications.
Hunter, J. E., & Schmidt, F. L. (1990). Methods of meta-analysis: Correcting Error and Bias in Research Findings. Newbury Park, CA: Sage Publications.
Publication guidelines for systematic reviews and meta-analyses
American Psychological Association (2010). Publication manual of the American Psychological Association, 6th Ed. Washington, DC: American Psychological Association.
Liberati, A., Altman. D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., et al. (2009). The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration. PLoS Med 6(7): e1000100. doi:10.1371/journal.pmed.1000100
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., The PRISMA Group (2009). Preferred ReportingItems for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med 6(6): e1000097. doi:10.1371/journal.pmed1000097.
Stroup, D. F., Berlin, J. A., Morton, S. C., Olkin, I., Williamson, G. D., Rennie, D., . . . Thacker, S. B. (2000). Meta-analysis of observational studies in epidemiology: A proposal for reporting.Journal of the American Medical Association, 283(15), 2008-2012.