Same Same yet Different: Equivalence of the Multidimensional Assessment of Vocational Competence Across Test Formats

ABSTRACT The rapid digital transformation of vocational education and training (VET) has underscored the need to adapt traditional assessment methods to digital formats. However, when transitioning to digital modes, it is crucial to consider factors beyond mere technical implementation, particularly the potential impact of altered presentation formats on the validity of assessment outcomes. This study explores these considerations in the context of computer‐based assessments, focusing on validating a digital format for evaluating vocational‐economic competence. A particular emphasis was placed on ensuring measurement invariance between digital and paper‐pencil formats, taking into account the effects of assessment layout, including cognitive load, the split‐attention effect, and environmental factors such as context dependence and the digital literacy of test‐takers. Furthermore, this study outlines a guideline‐compliant validation procedure for the digital version of a vocational‐economic competence assessment. To achieve this, we employed multi‐group confirmatory factor analysis (MGCFA) and a multidimensional item response theory (IRT) model to assess measurement invariance and estimate person abilities across the two formats. Validity evidence obtained includes both measurement invariance across subgroups and the assessment's dimensionality.

Authors

Institutions

Publication Details

Journal
International Journal of Training and Development
Published
2025-04-09
DOI
https://doi.org/10.1111/ijtd.12372
Primary Topic
Competency Development and Evaluation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Same Same yet Different: Equivalence of the Multidimensional Assessment of Vocational Competence Across Test Formats

Maximilian Krötz, Esther Winther, Viola Deutscher, Beifang Ma
International Journal of Training and Development
Competency Development and Evaluation
article

Same Same yet Different: Equivalence of the Multidimensional Assessment of Vocational Competence Across Test Formats

Maximilian Krötz, Esther Winther, Viola Deutscher, Beifang Ma
article en

Abstract

ABSTRACT The rapid digital transformation of vocational education and training (VET) has underscored the need to adapt traditional assessment methods to digital formats. However, when transitioning to digital modes, it is crucial to consider factors beyond mere technical implementation, particularly the potential impact of altered presentation formats on the validity of assessment outcomes. This study explores these considerations in the context of computer‐based assessments, focusing on validating a digital format for evaluating vocational‐economic competence. A particular emphasis was placed on ensuring measurement invariance between digital and paper‐pencil formats, taking into account the effects of assessment layout, including cognitive load, the split‐attention effect, and environmental factors such as context dependence and the digital literacy of test‐takers. Furthermore, this study outlines a guideline‐compliant validation procedure for the digital version of a vocational‐economic competence assessment. To achieve this, we employed multi‐group confirmatory factor analysis (MGCFA) and a multidimensional item response theory (IRT) model to assess measurement invariance and estimate person abilities across the two formats. Validity evidence obtained includes both measurement invariance across subgroups and the assessment's dimensionality.

International Journal of Training and DevelopmentVol. 29(4)
University of Duisburg-Essen (DE), University of Göttingen (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 92%
Competency Development and Evaluation
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.