Implementing Integration in an Explanatory Sequential Mixed Methods Study of Belief Bias About Climate Change With High School Students

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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Work Title Implementing Integration in an Explanatory Sequential Mixed Methods Study of Belief Bias About Climate Change With High School Students
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Open Access
Creators
  1. Matthew T. McCrudden
  2. Erin M. McTigue
Keyword
  1. Integration
  2. Explanatory sequential mixed methods
  3. Multilevel mixed design
  4. Joint display
  5. Belief bias
License In Copyright (Rights Reserved)
Work Type Article
Publisher
  1. Journal of Mixed Methods Research
Publication Date March 16, 2018
Publisher Identifier (DOI)
  1. https://doi.org/10.1177/1558689818762576
Deposited August 09, 2023

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Version 1
published

  • Created
  • Added JMMR_2019_integration_explanatory_sequential_design.pdf
  • Added Creator Matthew T. McCrudden
  • Added Creator Erin M. McTigue
  • Published
  • Updated Keyword, Publication Date Show Changes
    Keyword
    • Integration, Explanatory sequential mixed methods, Multilevel mixed design, Joint display, Belief bias
    Publication Date
    • 2019-07-01
    • 2018-03-16
  • Updated