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Using Mixed Methods Research Synthesis for Literature Reviews
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“Our IMMS was based on the mixed methods approach to systematic review evidence initially proposed by Dixon-Woods and colleagues and further developed by Heyvaert, Hanees and Obghena [7, 8].”
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Metadata
- Authors
- Heyvaert, M., Hannes, K., & Onghena, P.
- Venue
- Sage eBooks
- Publisher
- SAGE Publications, Inc.
- Published
- 2017
- OpenAlex
- W2526939529
- Cited by
- 164
- References
- 0
- Citations by year
- 2026: 9 · 2025: 20 · 2024: 19 · 2023: 12 · 2022: 25 · 2021: 29 · 2020: 16 · 2019: 15 · 2018: 9 · 2017: 8
- FWCI
- 5.59
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Sage eBooks (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Education › Educational Research and Methods
- Social Sciences › Business, Management and Accounting › Strategy and Management › Business Strategies and Management Research
- Keywords
- evidence synthesis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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