What question did this study set out to answer?

This research aims to identify optimal psychometric models for PANSS and BPRS, and assess their impact on antipsychotic effect size estimates.

June 19, 2026Open Research EuropeOpen Access

Applying advanced psychometrics to antipsychotic treatment trials: A protocol comparing effect estimates

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Authors

TSTimo SchurrRoyal College of Surgeons in Ireland FBFiona BolandRoyal College of Surgeons in Ireland DBD. G. ByrneAustralian National University

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Implication

Randomized trial evaluates psychometric models for estimating antipsychotic effect sizes in schizophrenia, suggesting improved measurement approaches.

Key Points

This research aims to identify optimal psychometric models for PANSS and BPRS, and assess their impact on antipsychotic effect size estimates.
Conduct secondary analyses of individual participant data from randomized Phase II–IV schizophrenia trials.
Use confirmatory factor analysis, item response theory, and network analysis for psychometric modeling.
Estimate antipsychotic efficacy using mixed-effects models and Cohen’s d for both conventional and refined outcomes.
Psychometrically-informed scoring revealed different effect sizes compared to conventional total scores, with specific differences noted across symptom domains and by sex.
Refinement of symptom scores improved the precision of effect detection, indicating potential for more accurate treatment evaluation.

Cite This Study

Schurr et al. (2026) studied this question.

synapsesocial.com/papers/6a34df4a65a5b0777af2e64b https://doi.org/10.12688/openreseurope.23623.1

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Implication

Randomized trial evaluates psychometric models for estimating antipsychotic effect sizes in schizophrenia, suggesting improved measurement approaches.

Applying advanced psychometrics to antipsychotic treatment trials: A protocol comparing effect estimates

Discussion

Member takes

Implication

Key Points

Cite This Study

Applying advanced psychometrics to antipsychotic treatment trials: A protocol comparing effect estimates

Discussion

Member takes

Implication

Key Points

Cite This Study

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