Psychometric Methodologies and Testing

Assessing Swedish Genetic Counselling Outcome Measures for Autism and General Use: Rasch Findings Highlight the Need for Improved Measures

This study adapts and evaluates a Swedish autism-specific version of the GCOS-24 genetic counselling outcome measure using Rasch analysis, revealing psychometric issues that require measure refinement.

Adapting the Eysenck Personality Questionnaire-Revised Neuroticism scale for use in epidemiologic studies: A psychometric evaluation using item response theory in the UK Biobank

The paper evaluates the psychometric properties of the EPQ-RN neuroticism scale using IRT in the UK Biobank, identifying a 7-item scale as most informative for measuring neuroticism.

Application of a Latent Trait Modeling Method for Missing Data Across Datasets: Guidance on Appropriate Factor Structure

The paper extends a latent trait modeling method to handle missing data across datasets without requiring overlapping measurement instruments, using matrix completion and evaluates its reliability through simulation.

The use of principal component and factor analysis to measure fundamental cognitive processes in neuropsychological data

This study evaluates PCA and factor analysis for identifying fundamental cognitive functions in neuropsychological data, finding they can measure underlying variables with high precision but face limitations due to data structure and factor rotation challenges.