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Meta-Analysis Workshop: Literature Review Resources  

Last Updated: Feb 26, 2014 URL: http://guides.lib.virginia.edu/ma Print Guide Email Alerts

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Education Databases

Handbooks

View the CLIC's collection of more than 300 handbooks.

Handbooks are a great resource for locating best practices, research theories, names of authors, background material, overviews of topics, and good keyword terminology to use when you search databases for journal articles and other materials to inform and support your research.

The handbooks are arranged by shelved by call number and arelocated to the light of the door as you enter the CLIC. You cannot check out handbooks, however you can scan (free scanning if you use the digital scanner in the CLIC's computer lab) or photocopy them for 8 cents per page using the public printer in the CLIC and your Cavalier debit card

  • Handbook of Research Synthesis and Meta-Analysis
    In the CLIC, Room 306 Bavaro Hall Q 180.55 .M4 H35 2009

Find Books

  • VIRGO
    UVa Library's online catalog of books, videos, and more.
  • WorldCat

Grey Literature Sources in Education

Grey literature can be articles, podcasts, vidoes, etc.

Contact the CLIC Librarians if you don't have access to a database you are interested in.

434-924-7040

Google

The difference between Google and Google Scholar is that Google Scholar focuses on the scholarly literature available on the Internet.

Google, on the other hand, has a broader scope, and is looking for resources regardless of where they come from

 

Avoid Bias

Examples of types of bias:

Publication bias is the term for what occurs whenever the research that appearsin the published literature is systematically unrepresentative of the population of completed studies. Simply put, when the research that is readily available differs in its results from the results of all the research that has been done in an area. This threatens the validity of conclusions drawn from reviews of published scientific research.

Language bias selective inclusion of studies published in English

Availability bias selective inclusion of studies that are easily accessible to the researcher

Cost bias selective inclusion of studies that are available free (e.g. open access),  low cost, or subscription-based (e.g. access paid for by institution/library and, thus,  "free" to researcher

Familiarity bias  selective inclusion of studies only from one’s own discipline

Outcome bias  selective reporting by the author, e.g., author may not include all data or analysis for subgroups

Positive results bias, a type of publication bias, occurs when authors are more likely to submit, or editors accept, positive than null (negative or inconclusive) results. A related term, "the file drawer problem", refers to the tendency for negative or inconclusive results to remain unpublished by their authors.

Outcome reporting bias occurs when several outcomes within a trial are measured but are reported selectively depending on the strength and direction of those results.

    Find Additional Studies for the Literature Review

    In addtion to the resources listed in the left column, also consider using these resources to locate studies for inclusion in a meta-
    analysis:

    1. Citation searching
    2. Contacting experts
    3. Handsearching for articles
    4. Grey literature
    5. Look for registries of ongoing studies
    6. Databases  such as  e.g. Business Source  Complete,  EconLit, or  other discipline based databases
        

      Meta-Analysis Reporting Form

      • Prism Statement Checklist & Flow Diagram
        The aim of the PRISMA Statement is to help authors report a wide array of systematic reviews to assess the benefits and harms of a health care intervention. PRISMA focuses on ways in which authors can ensure the transparent and complete reporting of systematic reviews and meta-analyses.

      Manage Your References with RefWorks

       

      Meta-Analysis Workshop

      Presenter:   Dr. Elizabeth Tipton, Teachers' College, Columbia University
      DATE: July 8-10, 2013 (9AM-3PM with noon-1PM lunch break), CLIC, room 306 Bavaro Hall
      Overview: This three-day short course will introduce participants to the basics of conducting a meta-analysis. We will begin with problem formulation, literature searching protocols (provided by Kay Buchanan, Librarian UVA), inclusion criteria, coding protocols and a discussion of methods for reducing publication bias. We will then discuss the basic meta-analysis methods -- fixed and random effects models, quantifying heterogeneity, meta-regression, and subgroup analyses -- and conclude with an introduction to advanced methods, including robust variance estimation (helpful when each paper contributes multiple effect sizes). Throughout students will work in teams on replicating a published meta-analysis using Stata (or R).

        Illustrative Meta-Analyses Articles


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