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Literature review methods

Tags: English, General

Synthesis analysis

Data extraction

Data extraction is the process of transcribing information from the primary studies under review using a standard form or template designed to capture all of the detail relevant to a synthesis or meta-analysis. To ensure accuracy, double data extraction is recommended. This is when two reviewers independently extract the data and then discuss any discrepancies that might occur. 

Adapted from: Buscemi, N., Hartling, L., Vandermeer, B., Tjosvold, L., & Klassen, T. P. (2006). Single data extraction generated more errors than double data extraction in systematic reviews. Journal of clinical epidemiology, 59(7), 697-703.

Method how-to

The university library provides access to several books on meta-analysis and meta-synthesis including:

Additional resources

  • Contact the IT department for access to programs such as SPSS for statistical analysis or NVivo for qualitative analysis