Although literacy achievement has improved in Chile, adolescents' underperformance in reading comprehension is still a serious concern. In English, core academic-language skills (CALS) have been found to significantly predict reading comprehension, even controlling for academic vocabulary knowledge. CALS are high-utility language skills that…

The link between reading and mathematics achievement is well known, and an important question is whether readability factors in mathematics problems are differentially impacting student groups. Using 20 years of data from the National Assessment of Educational Progress and the Trends in International Mathematics and Science Study, we examine how…

The purpose of this study was to understand the relationship between executive functions and mathematical abilities to determine the contribution of these functions to math performance. In this study, 30 students were selected from among 4th graders of elementary school, in two groups with low achievement in mathematics (poor) and high achievement…

Reading development in students who are second language learners (SLLs) has been a concern of many educators. It is important to understand reading development in students who are SLLs to effectively support their reading development. The dissertation consists of two studies, presented in two stand-alone manuscripts, that aimed to deepen our…

The "School Refusal Assessment Scale" (SRAS) was developed to identify four factors that might maintain a youth's school attendance problem (SAP), and thus be targeted for treatment. There is still limited support for the four-factor model inherent to the SRAS and its revision (SRAS-R). Recent studies indicate problems with the wording…

Item response models typically assume that the item characteristic (step) curves follow a logistic or normal cumulative distribution function, which are strictly monotone functions of person test ability. Such assumptions can be overly-restrictive for real item response data. We propose a simple and more flexible Bayesian nonparametric IRT model…

This study investigates the relationship between School Library and Students' achievement on a population sample of 9896 Schools. Many international researches confirmed the importance of the School Library for the Students learning. Recently the IEA PIRLS survey has revealed a positive relationship between the Reading comprehension performance…

This study presents a review from 39 studies that provide evidence for the structural validity and internal consistency of the Approaches to Teaching Inventory (ATI). In addition to this review, we evaluate many alternative factor structures on a sample of 267 first- and second-year chemistry faculty members participating in a professional…

In this response to Sternberg's article, "ACCEL: A New Model for Identifying the Gifted," we agree that IQ testing may have outlasted its usefulness as an identification tool for gifted students. The field's commitment to an imperfect formula has neglected the evolution of offerings in schools and theoretical underpinnings that are…

The central role of educational testing practices in contemporary societies can hardly be overstated. It is furthermore evident that psychometric models regulate, justify, and legitimize the processes through which educational testing practices are used. In this commentary, the authors offer some observations that may be relevant for the analyses…

Maul's paper, "Rethinking Traditional Methods of Survey Validation," is a clever and pointed indictment of a set of specific but widespread practices in psychological measurement and the social sciences at large. Through it, Maul highlights central issues in the way to approach theory building and theory testing, bringing to mind the…

In this article we present a general approach not relying on item response theory models (non-IRT) to detect differential item functioning (DIF) in dichotomous items with presence of guessing. The proposed nonlinear regression (NLR) procedure for DIF detection is an extension of method based on logistic regression. As a non-IRT approach, NLR can…

Detecting Differential Item Functioning (DIF) is an early step and very critical to investigate any possible bias between groups (e.g., males vs. females). Many early DIF studies only focused on two-group comparison. However, there are many cases where more than two groups exist: Cross-cultural studies are administered in many countries and any…

Longitudinal data analysis assumes that scales meet the assumption of longitudinal measurement invariance (i.e., that scales function equivalently across measurement occasions). This simulation study examines the impact of violations to the assumption of longitudinal measurement invariance on growth models and whether modeling the invariance…

The "2024 Comprehensive Biennial Report on Texas Public Schools" describes the status of Texas public education, as required by §39.332 of the Texas Education Code. The report contains 16 chapters on the following topics: (1) state progress on academic performance indicators; (2) student performance on state assessments; (3) performance…