Backward Construct Mapping in Practice: Using Rasch Measurement to Reveal the Internal Structure of Inflectional Morphological Processing in Students with Dyslexia

Abstract This study applies backward construct mapping, beginning from empirical Rasch modeling and working toward empirical construct definition, to develop and validate an assessment of inflectional morphological processing. This project was a part of the UCSF Dyslexia Center's Dyslexia Phenotype Project, which is a comprehensive multidisciplinary investigation examining cognitive function across multiple domains (language, visuospatial processing, social cognition, executive function, attention, and emotional processing). We administered 64 items in a 2 × 2 × 2 factorial design (regularity, frequency, word class) to 131 participants (84 with developmental dyslexia, 47 typical readers; ages 7‐16 years) using an oral sentence completion task. Multidimensional Rasch analysis validated unidimensionality (latent correlation = .84) and revealed strong measurement properties (person separation reliability = .92). Regularity ( β = 3.63) and frequency ( β = .99) accounted for 77.5% of item difficulty variance, confirming dual‐route theory. Wright Map analysis revealed five empirically derived waypoints representing natural boundaries in processing demands: from regular high‐frequency forms to irregular low‐frequency forms. Despite a meaningful ability difference between groups (1.0 logit; ∼25 percentage point difference at average item difficulty), both groups demonstrated similar item difficulty hierarchies, supporting measurement invariance. Situated within Wilson's (2005, 2023) BEAR Assessment System, this study demonstrates how beginning from an existing dataset and Rasch measurement modeling (Building Block 4) and working toward empirical construct definition (Building Block 1) can transform ordinal rankings into genuine educational measurement, providing an initial, replicable framework for assessment development and actionable insights for differential instruction in students with developmental dyslexia.

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Journal
Journal of Educational Measurement
Published
2026-05-14
DOI
https://doi.org/10.1111/jedm.70047
Primary Topic
Reading and Literacy Development
Type
article
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article

Backward Construct Mapping in Practice: Using Rasch Measurement to Reveal the Internal Structure of Inflectional Morphological Processing in Students with Dyslexia

Alexander Mario Blum, Jet M. J. Vonk, Ellie Carpenter, Zachary Miller et al.
Journal of Educational Measurement
Reading and Literacy Development
article

Backward Construct Mapping in Practice: Using Rasch Measurement to Reveal the Internal Structure of Inflectional Morphological Processing in Students with Dyslexia

Alexander Mario Blum, Jet M. J. Vonk, Ellie Carpenter, Zachary Miller, Maria Luisa Gorno‐Tempini, Robin Irey
article en

Abstract

Abstract This study applies backward construct mapping, beginning from empirical Rasch modeling and working toward empirical construct definition, to develop and validate an assessment of inflectional morphological processing. This project was a part of the UCSF Dyslexia Center's Dyslexia Phenotype Project, which is a comprehensive multidisciplinary investigation examining cognitive function across multiple domains (language, visuospatial processing, social cognition, executive function, attention, and emotional processing). We administered 64 items in a 2 × 2 × 2 factorial design (regularity, frequency, word class) to 131 participants (84 with developmental dyslexia, 47 typical readers; ages 7‐16 years) using an oral sentence completion task. Multidimensional Rasch analysis validated unidimensionality (latent correlation = .84) and revealed strong measurement properties (person separation reliability = .92). Regularity ( β = 3.63) and frequency ( β = .99) accounted for 77.5% of item difficulty variance, confirming dual‐route theory. Wright Map analysis revealed five empirically derived waypoints representing natural boundaries in processing demands: from regular high‐frequency forms to irregular low‐frequency forms. Despite a meaningful ability difference between groups (1.0 logit; ∼25 percentage point difference at average item difficulty), both groups demonstrated similar item difficulty hierarchies, supporting measurement invariance. Situated within Wilson's (2005, 2023) BEAR Assessment System, this study demonstrates how beginning from an existing dataset and Rasch measurement modeling (Building Block 4) and working toward empirical construct definition (Building Block 1) can transform ordinal rankings into genuine educational measurement, providing an initial, replicable framework for assessment development and actionable insights for differential instruction in students with developmental dyslexia.

Journal of Educational MeasurementVol. 63(2)
Bon Secours Health System (US), University of California, San Francisco (US), The University of Texas at Austin (US), Stanford University (US)
Quality Education
Openalex Percentile: Top 2%
Reading and Literacy Development
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