Mapping the Problem Statement and Study Purposes to the Quantitative Analysis: Insights From Mixed Methods Perspectives

Authors

Zhidong Zhang, The University of Texas Rio Grande Valley
Blanca N. Ibarra, The University of Texas Rio Grande Valley

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.

Comments

This work is licensed under a Creative Commons Attribution 4.0 International License.

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