ArticleJournal of Intelligence2023
Exploring the Influence of Item Characteristics in a Spatial Reasoning Task.
Article in Journal of Intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Detecting Demographic Influences on Measures of Spatial Ability with Rasch Tree Analysis.Journal of Intelligence · 2026Article
- Disciplinary trends in spatial concept associations: a multifaceted analysis of student responses.Frontiers in psychology · 2026Article
- Automatic- and Transformer-Based Automatic Item Generation: A Critical Review.Journal of Intelligence · 2025Review
- Mental Rotation Performance: Contribution of Item Features to Difficulties and Functional Adaptation.Journal of Intelligence · 2024Article
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Authors and funding
3 authors.
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Abstract
Well-designed spatial assessments can incorporate multiple sources of complexity that reflect important aspects of spatial reasoning. When these aspects are systematically included in spatial reasoning items, researchers can use psychometric models to examine the impact of each aspect on item difficulty. These methods can then help the researchers to understand the nature and development of spatial reasoning and can also inform the development of new items to better reflect the construct. This study investigated sources of item difficulty for object assembly (OA), a format for the assessment of spatial reasoning, by specifying nine item characteristics that were predicted to contribute to item difficulty. We used data from two focal samples including high-ability students in grades 3 to 7 and undergraduate students who responded to 15 newly developed OA items. Results from the linear logistic test model (LLTM) indicated that eight of the nine identified item characteristics significantly contributed to item difficulty. This suggests that an LLTM approach is useful in examining the contributions of various aspects of spatial reasoning to item difficulty and informing item development for spatial reasoning assessments.
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