Doctoral Counseling Students’ Quantitative Research Self-Efficacy Development: A Convergent Mixed-Methods Case Study

Research self-efficacy (RSE) is significantly associated with research interest, scholarly productivity, and professional development. It is particularly critical in counselor education, a field centered on improving human well-being and advancing evidence-based practice. However, RSE is often conceptualized primarily as an intrapersonal construct, with its relational and contextual dimensions underexplored. In this study, we examined doctoral counseling students’ quantitative research self-efficacy (QRSE) within the context of a quantitative research course. We employed a convergent mixed-methods case study design to investigate QRSE development over one semester. Four qualitative themes emerged: (a) QRSE is associated with professional development level; (b) QRSE is domain- and topic-specific; (c) QRSE is shaped by curriculum design and instructor characteristics; and (d) QRSE is dynamic and evolving rather than static. Quantitative results demonstrated a fluctuating yet overall upward trend. The qualitative and quantitative findings largely converged, with qualitative data extending beyond the quantitative measures. We propose a preliminary conceptual cubic model representing four interconnected dimensions of QRSE: personal, contextual, relational, and temporal. This study offers an exploratory, multidimensional framework for understanding how these factors may jointly shape QRSE development and provides implications for research training in counselor education.

Authors

Institutions

Publication Details

Journal
Education Sciences
Published
2026-04-30
DOI
https://doi.org/10.3390/educsci16050703
Primary Topic
Doctoral Education Challenges and Solutions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Doctoral Counseling Students’ Quantitative Research Self-Efficacy Development: A Convergent Mixed-Methods Case Study

Dee C. Ray, Xin Zou, Dan Li
Education Sciences
Doctoral Education Challenges and Solutions
article

Doctoral Counseling Students’ Quantitative Research Self-Efficacy Development: A Convergent Mixed-Methods Case Study

Dee C. Ray, Xin Zou, Dan Li
article en

Abstract

Research self-efficacy (RSE) is significantly associated with research interest, scholarly productivity, and professional development. It is particularly critical in counselor education, a field centered on improving human well-being and advancing evidence-based practice. However, RSE is often conceptualized primarily as an intrapersonal construct, with its relational and contextual dimensions underexplored. In this study, we examined doctoral counseling students’ quantitative research self-efficacy (QRSE) within the context of a quantitative research course. We employed a convergent mixed-methods case study design to investigate QRSE development over one semester. Four qualitative themes emerged: (a) QRSE is associated with professional development level; (b) QRSE is domain- and topic-specific; (c) QRSE is shaped by curriculum design and instructor characteristics; and (d) QRSE is dynamic and evolving rather than static. Quantitative results demonstrated a fluctuating yet overall upward trend. The qualitative and quantitative findings largely converged, with qualitative data extending beyond the quantitative measures. We propose a preliminary conceptual cubic model representing four interconnected dimensions of QRSE: personal, contextual, relational, and temporal. This study offers an exploratory, multidimensional framework for understanding how these factors may jointly shape QRSE development and provides implications for research training in counselor education.

Education SciencesVol. 16(5)
University of North Texas (US), Pennsylvania State University (US), University of Oklahoma Health Sciences Center (US)
Decent work and economic growth
Openalex Percentile: Top 5%
Doctoral Education Challenges and Solutions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.