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

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.