Document Type
Article
Publication Date
2-2024
Abstract
This study introduces a novel approach to assess the quality of doctoral dissertations using a mixed methods design, specifically the convergent parallel model. Initially, the research focuses on qualitative data obtained from the context, research problem statement, and study purpose within a doctoral dissertation. As an example of quantitative data, the study examines self-confidence in creating a database based on years of experience using a questionnaire. The qualitative analysis employs semantic and thematic analysis techniques, revealing a clear alignment between the identified themes and the quantitative evidence. These findings underscore the effectiveness of the mixed methods approach in comprehensively evaluating the quality of doctoral dissertations.
Recommended Citation
Zhang, Z., & Ibarra, B. (2024). Mapping the Problem Statement and Study Purposes to the Quantitative Analysis: Insights From Mixed Methods Perspectives. Journal of Education and Development, 8(1), 11-19. https://doi.org/10.20849/jed.v8i1.1408
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication Title
Journal of Education and Development
DOI
10.20849/jed.v8i1.1408
Comments
This work is licensed under a Creative Commons Attribution 4.0 International License.