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Once the final list of papers to be included in the review is finalised, the data needs to be extracted.
The type and amount of data extracted will depend on the design and purpose of the review.
Items 10 and 11 in the PRISMA 2020 checklist (p.1) relate to the data extraction process:
- Data collection process: Item 9 - "Specify the methods used to collect data from reports, including how many reviewers collected data from each report, whether they worked independently, any processes for obtaining or confirming data from study investigators, and if applicable, details of automation tools used in the process."
- Data Items: Item 10a - "List and define all outcomes for which data were sought. Specify whether all results that were compatible with each outcome domain in each study were sought (e.g. for all measures, time points, analyses), and if not, the methods used to decide which results to collect.”
- Data Items: Item 10b - "List and define all other variables for which data were sought (e.g. participant and intervention characteristics, funding sources). Describe any assumptions made about any missing or unclear information."
For more detailed information and guidance regarding the data extraction refer to the Cochrane handbook, Part 2: Chapter 5: Collecting data. It provides a checklist of items to consider
Data extraction tools
NVivo is powerful software for qualitative data analysis.
SPSS @ JCU
SPSS is a comprehensive statistics package for the social sciences. The IBM SPSS Statistics Premium Edition helps data analysts, planners, forecasters, survey researchers, program evaluators and database marketers – among others – to easily accomplish tasks at every phase of the analytical process. It includes a broad array of fully integrated Statistics capabilities and related products for specialized analytical tasks across the enterprise. The software will improve productivity significantly and help achieve superior results for specific projects and business goals.
Effect size calculator
This is a web-based effect-size calculator. It is designed to facilitate the computation of effect-sizes for meta-analysis. Four effect-size types can be computed from various input data: the standardized mean difference, the correlation coefficient, the odds-ratio, and the risk-ratio.
Systematic Review Toolbox
Use the Data Extraction checkbox to find more tools for extracting data from studies.
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