Abstract
This chapter introduces the topics that are covered in this book. The goal of the book is to provide reviewers with advanced strategies for strengthening the planning, conduct and interpretations of meta-analyses. The topics covered include planning a meta-analysis, computing power for tests in meta-analysis, handling missing data in meta-analysis, including individual level data in a traditional meta-analysis, and generalizations from a meta-analysis. Readers of this text will need to understand the basics of meta-analysis, and have access to computer programs such as Excel and SPSS. Later chapters will require more advanced computer programs such as SAS and R, and some advanced statistical theory.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Anderson, L.M., M. Petticrew, E. Rehfuess, R. Armstrong, E. Ueffing, P. Baker, D. Francis, and P. Tugwell. 2011. Using logic models to capture complexity in systematic reviews. Research Synthesis Methods 2: 33–42.
Borenstein, M., L.V. Hedges, J.P.T. Higgins, and H.R. Rothstein. 2009. Introduction to meta-analysis. Chicester: Wiley.
Cooper, H. 2009. Research synthesis and meta-analysis, 4th ed. Thousand Oaks: Sage.
Ehri, L.C., S. Nunes, S. Stahl, and D. Willows. 2001. Systematic phonics instruction helps students learn to read: Evidence from the National Reading Panel’s meta-analysis. Review of Educational Research 71: 393–448.
Higgins, J.P.T., and S. Green. 2011. Cochrane handbook for systematic reviews of interventions. Oxford, UK: The Cochrane Collaboration.
Lipsey, M.W., and D.B. Wilson. 2000. Practical meta-analysis. Thousand Oaks: Sage Publications.
Rothstein, H.R. 2011. What students want to know about meta-analysis. Paper presented at the 6th Annual Meeting of the Society for Research Synthesis Methodology, Ottawa, CA, 11 July 2011.
Sirin, S.R. 2005. Socioeconomic status and academic achievement: A meta-analytic review of research. Review of Educational Research 75(3): 417–453. doi:10.3102/00346543075003417.
US Preventive Services Task Force. 2002. Screening for breast cancer: Recommendations and rationale. Annals of Internal Medicine 137(5 Part 1): 344–346.
Valentine, J.C., T.D. Pigott, and H.R. Rothstein. 2010. How many studies do you need? A primer on statistical power in meta-analysis. Journal of Educational and Behavioral Statistics 35: 215–247.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Pigott, T.D. (2012). Introduction. In: Advances in Meta-Analysis. Statistics for Social and Behavioral Sciences. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-2278-5_1
Download citation
DOI: https://doi.org/10.1007/978-1-4614-2278-5_1
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4614-2277-8
Online ISBN: 978-1-4614-2278-5
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)