A Mixed Methods Evaluation of a Purposefully Designed Short, Intensive Workshop-Style Course for Teaching Mixed Methods Research in Taiwan

Hou S-I and Chou W-Y

Published on: 2025-08-11

Abstract

Introduction: Mixed methods research (MMR) is increasingly important in graduate education, yet teaching it effectively in short, intensive formats is challenging. This study evaluates a two-day, workshop-style MMR course designed to build foundational skills in a culturally and linguistically diverse context.

Purpose: To examine how course design supports student learning, identify effective instructional elements, and explore factors influencing engagement and perceived impact.

Methods: A qualitative-dominant mixed methods process evaluation was conducted across four cohorts (N = 65) at two large national universities in Taiwan (2022–2025). Baseline, mid-course, and end-course surveys collected Likert-scale ratings and rich qualitative reflections. Joint display analyses integrated quantitative and qualitative data to identify convergence and emergent themes.

Results: All core course components were rated highly at end-course (means 4.48–4.64/5). Qualitative themes highlighted the value of instructor guidance (33%), interactive learning (28%), and authentic application (26%) for deepening understanding. Student challenges included English comprehension (37%) and limited methodological background (27%), mitigated by instructional approach and instructor support, independent study, and peer learning. Post-course reflections showed reduced worry (38%), increased MMR confidence (36%), and intent to apply MMR in future research (34%). Positive feedback across cohorts emphasized the instructor’s role in bilingual delivery, active learning, and responsive teaching.

Discussion: Thoughtfully designed, multimodal MMR short courses can effectively build competence in compressed timeframes. Integrated, culturally responsive instruction and active learning strategies are critical to success. Mixed methods process evaluation provided actionable insights into learning mechanisms and modelled MMR as both course content and an evaluation framework.