Revisiones sistematizadas en Ciencias Humanas y Sociales. 2: Búsqueda y Evaluación
Open accessAbstract
The search and evaluation phases are the first two of a systematized revision according to the SALSA framework, such as the metaframework we use here, called Systematized Reviews in Human and Social Sciences or ReSiste-CHS.As we will see, these phases are of crucial importance to ensure that the group of documents that are used, whether to produce a state/s of the art (part of a larger work), or a revision work (self-contained work), correspond to the best scientific-academic evidence available and not, for example, to certain biases of the authors.We will also see that these two phases require a broader context, which is that which constitute the hypotheses or research questions that we wish to answer thanks to a systematic review.The way to prepare the search equations and the selection of sources (databases, etc.) as well as how to evaluate the documents found are part of these two phases.
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- Authors
- Codina, L.
- Corresponding author
- Codina, Lluís
- ORCID
- Codina, Lluís
- Venue
- Methodos Anuario de Métodos de Investigación en Comunicación Social, 1
- Publisher
- Universitat Pompeu Fabra
- Published
- 2020-05
- Pages
- 61-72
- OpenAlex
- W3027006317
- Cited by
- 18
- References
- 21
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 10 · 2022: 2 · 2021: 1
- FWCI
- 0.98
- Type
- book chapter
- Language
- es
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- Universitat Pompeu Fabra eBooks (publishedVersion, cc-by)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Keywords
- systematic reviews, search strategies, document evaluation, humanities and social sciences, research questions, database selection, publication bias, state of the art
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