Card Sorting with Fewer Cards and the Same Mental Models? A Reexamination of an Established Practice

To keep card sorting with a lot of cards concise, a common strategy for gauging mental models involves presenting participants with fewer randomly selected cards instead of the full set. This is a decades-old practice, but its effects lacked systematic examination. To assess how randomized subsets affect data, we conducted an experiment with 160 participants. We compared results between full and randomized 60\% card sets, then analyzed sample size requirements and the impacts of individual personality and cognitive factors. Our results demonstrate that randomized subsets can yield comparable similarity matrices to standard card sorting, but thematic patterns in categories can differ. Increased data variability also warrants larger sample sizes (25-35 for 60% card subset). Results indicate that personality traits and cognitive reflection interact with card sorting. Our research suggests evidence-based practices for conducting card sorting while exposing the influence of study design and individual differences on measurement of mental models.

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Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2026-01-08
DOI
https://doi.org/10.1080/10447318.2025.2603633
Primary Topic
Spatial Cognition and Navigation
Type
article
Field-Weighted Citation Impact
0.00
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article

Card Sorting with Fewer Cards and the Same Mental Models? A Reexamination of an Established Practice

Peter Demcak, Eduard Kuric, Matus Krajcovic
International Journal of Human-Computer Interaction
Spatial Cognition and Navigation
article

Card Sorting with Fewer Cards and the Same Mental Models? A Reexamination of an Established Practice

Peter Demcak, Eduard Kuric, Matus Krajcovic
article en

Abstract

To keep card sorting with a lot of cards concise, a common strategy for gauging mental models involves presenting participants with fewer randomly selected cards instead of the full set. This is a decades-old practice, but its effects lacked systematic examination. To assess how randomized subsets affect data, we conducted an experiment with 160 participants. We compared results between full and randomized 60\% card sets, then analyzed sample size requirements and the impacts of individual personality and cognitive factors. Our results demonstrate that randomized subsets can yield comparable similarity matrices to standard card sorting, but thematic patterns in categories can differ. Increased data variability also warrants larger sample sizes (25-35 for 60% card subset). Results indicate that personality traits and cognitive reflection interact with card sorting. Our research suggests evidence-based practices for conducting card sorting while exposing the influence of study design and individual differences on measurement of mental models.

International Journal of Human-Computer Interaction
Slovak University of Technology in Bratislava (SK), Agence wallonne à l'Exportation et aux Investissements étrangers (BE)
Openalex Percentile: Top 100%
Spatial Cognition and Navigation
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