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Integrating data in a complex mixed‐methods classroom interaction study

Bibliographic Data

ID11160304
AuthorsSigrun K Ertesvåg (0000-0001-7804-8571, University of Stavanger Norway, corresponding author), Pam Sammons (0000-0001-6988-6784, University of Oxford), Pamela Sammons (University of Oxford UK), Ulf Blossing (0000-0001-5033-9289, University of Gothenburg Sweden)
Year2021
Volume47
Issue3
Pages654-673
Publication date2021-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBritish Educational Research Journal (JOURNAL)
Journal identifiersISSN: 0141-1926 • E-ISSN: 1469-3518
PublisherWiley (PUBLISHER • GB)
DOI10.1002/berj.3678
OpenAlexW3083435792
LanguageEN
Citations received2
References cited28

Mixed‐methods (MM) designs have gained increasing interest in educational research. Still, many studies collect quantitative and qualitative data but report these data separately and do not attempt to integrate them in practice. The aim of this article is to discuss the purposes and processes of integrating qualitative and quantitative data in an MM classroom interaction study. Issues regarding mixing and integration, including how to overcome integration barriers, are discussed. Based on this outline, the study then presents details about the various integration processes adopted in a recent MM study on classroom interaction in Norway. The possibilities and challenges of integration to produce new knowledge and a deeper understanding throughout the research process in classroom studies are illustrated with a specific focus on points of interface. A key issue is whether the new knowledge obtained in an MM study is more than the sum of the individual quantitative and qualitative parts. Using selected questions from the MM alphabet proved a helpful heuristic for guiding the iterative processes of integration and provided richer explanations and an enhanced understanding of the implementation and impact of a complex classroom intervention initiative. The study provides a new methodological contribution to the MM literature by examining the integration processes and challenges faced in a specific study

Data science · Educational research · Heuristic · Management science · Mathematics education · Multimethodology · Process (computing) · Qualitative property · Qualitative research · Sociology · Artificial Intelligence · Behavioral and Psychological Studies · Computer Science · Educational Assessment and Improvement · Engineering · Psychology · Teacher Education and Leadership Studies

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Unique citing works2
Citations per year1
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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