Computer adaptive testing (CAT) is an increasingly common mode of test administration offering improved test security, better measurement precision, and the potential for shorter testing experiences. This article presents a new item selection algorithm based on a generalized objective function to support multiple types of testing conditions and…

This article is concerned with a subset of numerically stable and scalable algorithms useful to support computationally complex psychometric models in the era of machine learning and massive data. The subset selected here is a core set of numerical methods that should be familiar to computational psychometricians and considers whitening transforms…

We developed and validated scores on the Lifestyle Practices and Health Consciousness Inventory (LPHCI)-2: Brief Version, a short form for measuring global wellness (mental and physical health). Tests of internal structure (EFA, CFA, and higher-order CFA) as well as convergent validity supported the psychometric properties of LPHCI-2: Brief…

The aim of this study is to compare the results of correlation coefficient estimation of reliability with those obtained through the Bland-Altman plot technique. The scale was first divided into two halves using three different approaches. A linear and high-level relationship was found between the scale scores obtained from the halved forms.…

The Eco-Generativity Scale (EGS) is a recently developed 28-item scale derived from a 4-factor higher-order model (ecological generativity, social generativity, environmental identity, and agency/pathways). The aim of this study was to develop a short-scale version of the EGS to facilitate its use with university students (N = 779) who will…

Categorical data become increasingly ubiquitous in the modern big data era. In this dissertation, we propose novel statistical learning and inference methods for large-scale categorical data, focusing on latent variable models and their applications to psychometrics. In psychometric assessments, the subjects' underlying aptitude often cannot be…

Raven's Standard Progressive Matrices (Raven 1941) is a widely used 60-item long measure of general mental ability. It was recently suggested that, for situations where taking this test is too time consuming, a shorter version, comprised of only the last series of the Standard Progressive Matrices (Myszkowski and Storme 2018) could be used, while…

The Measures for Early Success Initiative aims to reimagine the landscape of early learning assessments for the millions of 3- to 5-year-olds enrolled in Pre-K, so that more equitable data can be applied to meaningfully support and strengthen early learning experiences for all young children. This document outlines design parameters for child…

This study presents new models for item response functions (IRFs) in the framework of the D-scoring method (DSM) that is gaining attention in the field of educational and psychological measurement and largescale assessments. In a previous work on DSM, the IRFs of binary items were estimated using a logistic regression model (LRM). However, the LRM…

Prior to August 2015, the National Board of Medical Examiners' (NBME) clinical science subject examination scores were reported as a scaled score. However, the scaled scores had some undesirable properties. Medical school faculty often interpreted the scaled scores as though they were percent correct scores despite cautions that this…

The authors evaluated measurement-level, factor-level, item-level, and scale-level revisions to the "Gifted Rating Scales-School Form" (GRS-S). Measurement-level considerations tested the extent to which treating the Likert-type scale rating as categorical or continuous produced different fit across unidimensional, correlated trait, and…

Development and refinement of self-report measures generally involves selecting a subset of indicators from a larger set. Despite the importance of this task, methods applied to accomplish this are often idiosyncratic and ad hoc, or based on incomplete statistical criteria. We describe a structural equation modeling (SEM)-based technique, based on…

Questionnaire refinement and a process for selecting items for elimination are important tools for survey developers. One of the major obstacles in questionnaire refinement and elimination in surveys lies in one's ability to adequately and appropriately reconstruct a survey. Often times, surveys can be long and strenuous on the respondent,…

The Programme for International Student Assessment (PISA) is an important international study of 15-olds' knowledge and skills. New results are released every 3 years, and have a substantial impact upon education policy. Yet, despite its influence, the methodology underpinning PISA has received significant criticism. Much of this criticism has…

in this article, Andrew Dean Ho presents a response to David Thissen's essay, "Bad Questions: An Essay Involving Item Response Theory (2016)," calling it an excellent contribution to the genre of commentaries on the field which joins the likes of the piece by Thissen's frequent collaborator, Howard Wainer (2010), who published "14…