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ERIC Number: EJ1219710
Record Type: Journal
Publication Date: 2019-Jul
Pages: 20
Abstractor: As Provided
ISSN: ISSN-1558-6898
Implementing Integration in an Explanatory Sequential Mixed Methods Study of Belief Bias about Climate Change with High School Students
McCrudden, Matthew T.; McTigue, Erin M.
Journal of Mixed Methods Research, v13 n3 p381-400 Jul 2019
Integration in mixed methods involves bringing together quantitative and qualitative approaches. There is a need for practical examples of how to integrate the two approaches in an explanatory sequential design at the methods level and at the interpretation and reporting level. This article reports an explanatory sequential mixed methods study of adolescents' quantitative judgments about belief-related scientific arguments and qualitative reasons behind those judgements via interviews. This context is used to illustrate how integration can be achieved in an explanatory sequential design at the "methods" level, through the sampling frame and through the development of the interview protocol with a methodological joint display, and at the "interpretation and reporting" level through narrative and the use of a results joint display.
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Publication Type: Journal Articles; Reports - Research
Education Level: High Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A