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August 15, 2025Open Access

Building Adaptive Assessments for Psychological Assessments with Bounded-Continuous Response Formats

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Authors

AMAlfonso J. MartinezJTJonathan TemplinKSKarrie A. Shogren

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Overview

This research shows how an adaptive testing framework improves precision in psychological assessments, suggesting a new model for bounded-continuous items.

Key Points

  • Creating adaptive assessments for bounded-continuous item types enhances measurement precision, and reduces the number of items required.
  • The Beta-Bernoulli mixture item response model is introduced to improve adaptive testing for psychological assessments.
  • Simulation studies demonstrate the viability of using BBM-IRT in practical assessment contexts with real data to support claims.
  • Derivation of item and test information functions is crucial for implementing effective adaptive assessments, highlighting the model's potential.

Cite This Study

Martinez et al. (2025) studied this question.

synapsesocial.com/papers/68a365740a429f797332bcb6https://doi.org/10.31234/osf.io/msfb4_v1
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  4. 4Exploring the Influence of Response Styles on Continuous Scale Assessments: Insights From a Novel Modeling Approach2024 · 5 citations
  5. 5A Unified Framework for Jointly modelling Response Times and Item Position Effects in Computer-Based Learning Assessments2026