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Gregory M. Hurtz; Regi Mucino – Journal of Educational Measurement, 2024
The Lognormal Response Time (LNRT) model measures the speed of test-takers relative to the normative time demands of items on a test. The resulting speed parameters and model residuals are often analyzed for evidence of anomalous test-taking behavior associated with fast and poorly fitting response time patterns. Extending this model, we…
Descriptors: Student Reaction, Reaction Time, Response Style (Tests), Test Items
Ming-Chi Tseng – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The primary objective of this investigation is the formulation of random intercept latent profile transition analysis (RI-LPTA). Our simulation investigation suggests that the election between LPTA and RI-LPTA for examination has negligible impact on the estimation of transition probability parameters when the population parameters are generated…
Descriptors: Monte Carlo Methods, Predictor Variables, Research Methodology, Test Bias
Iris Menu; Lanxin Ji; Tanya Bhatia; Mark Duffy; Cassandra L. Hendrix; Moriah E. Thomason – Child Development, 2025
Preterm birth poses a major public health challenge, with significant and heterogeneous developmental impacts. Latent profile analysis was applied to the National Institutes of Health Toolbox performance of 1891 healthy prematurely born children from the Adolescent Brain and Cognitive Development study (970 boys, 921 girls; 10.00 ± 0.61 years;…
Descriptors: Child Development, Premature Infants, Cognitive Development, Scores
Caitlin M. Hudac; Nicole R. Friedman; Victoria R. Ward; Rachel E. Estreicher; Grace C. Dorsey; Raphael A. Bernier; Evangeline C. Kurtz-Nelson; Rachel K. Earl; Evan E. Eichler; Emily Neuhaus – Journal of Autism and Developmental Disorders, 2024
We aimed to identify unique constellations of sensory phenotypes for genetic etiologies associated with diagnoses of autism spectrum disorder (ASD) and intellectual disability (ID). Caregivers reported on sensory behaviors via the Sensory Profile for 290 participants (younger than 25 years of age) with ASD and/or ID diagnoses, of which…
Descriptors: Genetics, Etiology, Comparative Analysis, Profiles

Natalie Brezack; Melissa Lee; Kelly Collins; Wynnie Chan; Mingyu Feng – Grantee Submission, 2025
Students' effort and emotions are important contributors to math learning. In a recent study evaluating the efficacy of MathSpring, a scalable web-based intelligent tutoring system that provides students with personalized math problems and affective support, system usage data were collected for 804 U.S. 10-12-year-olds. To understand the patterns…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Behavior Patterns, Student Behavior
Basak Erdem Kara – International Electronic Journal of Elementary Education, 2025
Achievement tests are commonly used in education to evaluate students' academic performance and proficiency in specific subject areas. However, there is a major problem that threatens the validity of achievement test scores which is test-taking disengagement. Respondents provide answers that are inconsistent with their true ability level and can…
Descriptors: International Assessment, Secondary School Students, Foreign Countries, Achievement Tests
Emily Theophilou; Davinia Hernández-Leo; Vicenç Gómez – Journal of Computer Assisted Learning, 2024
Background: Gender differences in the use of educational environments and social media platforms have been a topic of interest in research. Several studies have examined the disparities between female and male participants in terms of participation, engagement, and motivations in either educational or social media platforms. On this end, this…
Descriptors: Gender Differences, Social Media, Learner Engagement, Foreign Countries
Itahisa Mulero-Henríquez; Rocío Pérez-Solís; Samuel Falcon – Education and Information Technologies, 2024
High levels of Internet usage are prevalent among young people. Alongside this increased use, dangerous attitudes and practices among students have been observed. This study aimed to analyse the use of Information and Communication Technologies (ICT) among high school students, their attitudes, and the relationship with gender. A sample of 869…
Descriptors: Internet, Gender Differences, Student Attitudes, Bullying