META-ANALYSIS TRAINING COURSES
META-ANALYSIS TRAINING INSTITUTE (MATI)
MATI is a one-week summer training in advanced meta-analytic techniques generously funded by the Institute of Education Sciences. Learn more about MATI at the button to the right.
AERA PROFESSIONAL DEVELOPMENT COURSES
Sign-up for a one-day introduction to systematic review and meta-analysis or a one-day course on advanced topics in meta-analysis at the 2019 annual meeting of the American Educational Research Association. The introductory course will be held on Thursday, April 14, and the advanced course on Friday, April 5. Check the AERA website in spring 2019 for more information. We will be using R for the course.
OTHER META-ANALYSIS TRAINING RESOURCES
VIDEO PRESENTATION ON POWER CONSIDERATIONS IN META-ANALYSIS
Watch a 2019 presentation on power considerations in planning a meta-analysis given at the ZPID Research Synthesis 2019 conference.
A SHORT PRIMER ON POWER COMPUTATIONS FOR META-ANALYSIS
Listen to a short podcast providing an introduction to power in meta-analysis hosted by the Center on Knowledge Translation for Disability and Rehabilitation Research (KTDRR).
VIDEO PRESENTATION ON FIXED AND RANDOM EFFECTS IN META-ANALYSIS
Watch a 2011 presentation on fixed and random effects in meta-analysis on the Campbell Collaboration YouTube channel.
VIDEO PRESENTATION ON EFFECT SIZES FOR CLUSTERED EXPERIMENTAL TRIALS
Watch a 2011 presentation on computing effect sizes for clustered trials on the Campbell Collaboration YouTube channel.
JOURNAL PUBLICATIONS ON META-ANALYSIS
Pigott, T. D. et al. (2017). AHRQ series on complex intervention systematic reviews - Paper 5: Advanced analytic methods. Journal of Clinical Epidemiology, 90, 37.42
Polanin, J. & Pigott, T. (2015). The use of meta-analytic statistical significance testing. Research Synthesis Methods, 6, 63-73.
Pigott, T., & Shepperd, S. (2013). Identifying, documenting, and examining heterogeneity in systematic reviews of complex interventions. Journal of Clinical Epidemiology, 66(11), 1244-1250.
Polanin, J., & Pigott, T. (2013). The Campbell Collaboration’s systematic review and meta-analysis online training videos. Research on Social Work Practice, 23(2), 229-233.
Pigott, T. D., Williams, R., & Polanin, J. (2012). Combining individual participant and aggregated data in a meta-analysis with correlations. Research Synthesis Methods, 3(4), 257-268.
Aloe, A. M., Becker, B. J., & Pigott, T. D. (2011). An alternative to R2 for assessing linear models of effect size. Research Synthesis Methods, 1, 272-283.
Valentine, J. C., Pigott, T. D., & Rothstein, H. (2010). How many studies do you need? A primer on statistical power for meta-analysis. Journal of Educational and Behavioral Statistics, 35, 215-247.
Pigott, T. D. & Wu, M.-J. (2008). Methodological issues in meta-analyzing standard deviations: Comment on Bond and De Paulo (2008). Psychological Bulletin, 134, 498-500.
Hedges, L. V. & Pigott, T. D. (2004). The power of statistical tests for moderators in meta-analysis. Psychological Methods, 9, 426-445.
Pigott, T. D. (2001). Methods for missing data in meta-analysis. Evaluation in the Health Professions, 24, 277-307.
Hedges, L. V. & Pigott, T. D. (2001). Power analysis in meta-analysis. Psychological Methods, 6, 203-217.
OTHER PUBLICATIONS ON META-ANALYSIS
Pigott, T. D. (2012). Advances in meta-analysis. New York, NY: Springer-Verlag.
Williams, R. T., Polanin, J. R., & Pigott, T. D. (2017). Meta-analysis and reproducibility. In Matthew C. Makel and Jonathon C. Plucker (Eds.)., Toward a more perfect psychology: Improving trust, accuracy and transparency in research. Washington, DC: American Psychological Association.
Pigott, T. D. (2009). Handling missing data. In H. Cooper, L. V. Hedges & J. C. Valentine (Eds.). The Handbook for Research Synthesis and Meta-analysis (2nd ed.). New York: Russell Sage.
Pigott, T. D. (2009). Meta-analysis and public policy. In D. N. Plank, W. E. Schmidt & G. Sykes (Eds.). AERA Handbook on Education Policy Research. Washington, D. C.: AERA.
Sutton, A. J. & Pigott, T. D. (2005). Reporting bias and missing data in meta-analysis. In H. Rothstein, A. J. Sutton & M. Borenstein (Eds.). Publication bias in meta-analysis. London: John Wiley.
De La Rue, L., Polanin, J. R., Espelage, D. L. & Pigott, T. D. (2017). A meta-analysis of school-based interventions aimed to prevent or reduce violence in teen dating relationships. Review of Educational Research, 87, 7 – 34.
Hedges, L. V., Pigott, T. D., Polanin, J. R., Ryan, A. M., Williams, R. & Tocci, C. (2016). The question of school resources and student achievement: A history and reconsideration. Review of Research in Education: Centennial Edition, 40, 143-168.
Spier, E., Britto, P., Pigott, T., Roehlkepartain, E., McCarthy, M. Kidron, Y., Glover, J., Wagner, D., Lane, J. & Song, M. (2016). Parental, familial, and community support interventions to improve children’s literacy in developing countries: A systematic review. Campbell Systematic Reviews, 12(4).
Maynard, B. R., Heyne, D., Brendel, K. E., & Bulanda, J. J., Thompson, A. M. & Pigott, T. D. (2015). Treatments for school refusal among children and adolescents: A systematic review and meta-analysis. Research on Social Work Practice. doi:10.1177/1049731515598619
Maynard, B. R., McCrea, K. T., Pigott, T. D., & Kelly, M. S. (2013). Indicated truancy interventions for chronic truant students: A Campbell Systematic Review. Research on Social Work Practice, 23, 5-12.
Polanin, J., Esplanage, D., & Pigott, T. D. (2012). A meta-analysis of school-based bullying prevention programs’ effects on bystander intervention behavior. School Psychology Review, 41(1), 47-65.
Guskey, T. R. & Pigott, T. D. (1988). Research on group-based mastery learning programs: A meta-analysis. Journal of Educational Research, 81, 197-216.