Double-scoring constructed-response items is a common but costly practice in mixed-format assessments. This study explored the impacts of Targeted Double-Scoring (TDS) and random double-scoring procedures on the quality of psychometric outcomes, including student achievement estimates, person fit, and student classifications under various…

Diagnostic classification models (DCMs) are psychometric models that yield probabilistic classifications of respondents according to a set of discrete latent variables. The current study examines the recently introduced one-parameter log-linear cognitive diagnosis model (1-PLCDM), which has increased interpretability compared with general DCMs due…

Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…

Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or nonproficiency of specified latent characteristics. These models are well suited for providing diagnostic and actionable feedback to support intermediate and formative assessment efforts. Several DCMs have been developed…

Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or nonproficiency of specified latent characteristics. These models are well suited for providing diagnostic and actionable feedback to support intermediate and formative assessment efforts. Several DCMs have been developed…

The Q-matrix played a key role in implementations of diagnostic classification models (DCMs) or cognitive diagnostic models (CDMs) -- a family of psychometric models that are gaining attention in providing diagnostic information on students' mastery of cognitive attributes or skills. Using two Monte Carlo simulation studies, this dissertation…

This study addresses the underexplored terrain of conceptualizing and operationalizing race and ethnicity as grouping variables in Differential Item Functioning (DIF) studies within the context of psychometric research. The investigation extends beyond the identification of DIF and delves into the theoretical framing and communication of findings…

As part of a validation study of the Exercise Planning and Scheduling (EPS), and Goal-Setting (EGS) Scales, which were translated from English to Brazilian Portuguese, we aim to: present evidence of reliability and validity for the translated scale; and, explore the effects of non-labeled response categories of rating scales. The sample comprised…

The study aimed to explore the Chinese version of the Frost Multidimensional Perfectionism Scale suitable for gifted junior high school students and to classify the types of perfectionism. The Frost Multidimensional Perfectionism Scale was translated into Chinese to evaluate the factor structure and typology of academically gifted students in…

The study aimed to verify the psychometric properties of the emotional-style scale and explore different clusters of emotional styles. An emotional style scale was completed in three districts of western Taiwan using stratified random sampling. The study confirmed the reliability and convergent validity of each subscale in a sample of 712…