Response Format and Construct Validity in Medical Students' Word‑Analysis Assessment: A Validity Argument Approach

Response format may influence the interpretation of language assessment scores by engaging different cognitive processes. This study aimed to examine the effects of response format on medical students' word-analysis performance. It further investigated the degree of construct overlap between the two formats and the potential moderating role of gender. A within-subjects counterbalanced comparative assessment design was employed with 170 undergraduate medical students who completed both a Multiple-Choice Word Analysis Test (MCQ) and a Word Analysis Completion Test (WACT). Data were analyzed using descriptive and inferential statistical procedures. Participants scored significantly higher on the MCQ (M = 14.61, SD = 3.60) than on the WACT (M = 7.31, SD = 4.39, p < .001). A moderate positive correlation was observed between the two formats (ρ = .42, p < .001), indicating shared but distinct construct variance. Gender did not significantly moderate this relationship (p = .420). Interpreted through Kane's argument-based validity framework, the findings demonstrated that response format constitutes an important component of construct representation and influences the interpretation of assessment scores. The findings suggest that recognition-based and production-based assessments capture complementary aspects of morphological competence. A mixed-format assessment approach may therefore provide more valid and comprehensive evidence of medical students' word-analysis ability.

Authors

Publication Details

Journal
DOAJ (DOAJ: Directory of Open Access Journals)
Published
2026-09-01
DOI
https://doi.org/10.30479/jmrels.2026.23722.2622
Primary Topic
Psychometric Methodologies and Testing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Response Format and Construct Validity in Medical Students' Word‑Analysis Assessment: A Validity Argument Approach

Ali Fattahi Bafghi, Kazem Barzegar
DOAJ (DOAJ: Directory of Open Access Journals)
Psychometric Methodologies and Testing
article

Response Format and Construct Validity in Medical Students' Word‑Analysis Assessment: A Validity Argument Approach

Ali Fattahi Bafghi, Kazem Barzegar
article en

Abstract

Response format may influence the interpretation of language assessment scores by engaging different cognitive processes. This study aimed to examine the effects of response format on medical students' word-analysis performance. It further investigated the degree of construct overlap between the two formats and the potential moderating role of gender. A within-subjects counterbalanced comparative assessment design was employed with 170 undergraduate medical students who completed both a Multiple-Choice Word Analysis Test (MCQ) and a Word Analysis Completion Test (WACT). Data were analyzed using descriptive and inferential statistical procedures. Participants scored significantly higher on the MCQ (M = 14.61, SD = 3.60) than on the WACT (M = 7.31, SD = 4.39, p < .001). A moderate positive correlation was observed between the two formats (ρ = .42, p < .001), indicating shared but distinct construct variance. Gender did not significantly moderate this relationship (p = .420). Interpreted through Kane's argument-based validity framework, the findings demonstrated that response format constitutes an important component of construct representation and influences the interpretation of assessment scores. The findings suggest that recognition-based and production-based assessments capture complementary aspects of morphological competence. A mixed-format assessment approach may therefore provide more valid and comprehensive evidence of medical students' word-analysis ability.

DOAJ (DOAJ: Directory of Open Access Journals)
Quality Education
Openalex Percentile: Top 6%
Psychometric Methodologies and Testing
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.