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Monster, Iris; Tellings, Agnes; Burk, William J.; Keuning, Jos; Segers, Eliane; Verhoeven, Ludo – Scientific Studies of Reading, 2022
We examined whether word recognition accuracy and latency of words children encounter during primary school across the upper primary school grades can be predicted from word form (word length, mean Levenshtein distance, and mean frequency of neighbors), word meaning (free association network markers) and word exposure (corpus frequency and…
Descriptors: Reading Processes, Word Recognition, Predictor Variables, Accuracy
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Cuhadar, Ismail – Measurement: Interdisciplinary Research and Perspectives, 2022
In practice, some test items may display misfit at the upper-asymptote of item characteristic curve due to distraction, anxiety, or carelessness by the test takers (i.e., the slipping effect). The conventional item response theory (IRT) models do not take the slipping effect into consideration, which may violate the model fit assumption in IRT.…
Descriptors: Sample Size, Item Response Theory, Test Items, Mathematical Models
Adam J. Reeger – ProQuest LLC, 2022
Student growth percentiles (SGPs) have become a common means to measure and report on student academic growth for state education accountability, and some states have adopted SGP cutscores as a means of classifying student growth into categories like "high/medium/low" growth. It has therefore become important to understand properties of…
Descriptors: Academic Achievement, Achievement Gains, Accountability, Regression (Statistics)
Daniel McNeish; Jeffrey R. Harring; Daniel J. Bauer – Grantee Submission, 2022
Growth mixture models (GMMs) are a popular method to identify latent classes of growth trajectories. One shortcoming of GMMs is nonconvergence, which often leads researchers to apply covariance equality constraints to simplify estimation, though this may be a dubious assumption. Alternative model specifications have been proposed to reduce…
Descriptors: Growth Models, Classification, Accuracy, Sample Size
Susan Barnes Porter – ProQuest LLC, 2022
The data from universal screeners must be valid and reliable in order to use it to make appropriate decisions about how best to allocate resources to support students who are at risk of not passing the state achievement test. The instruments used as part of universal screening must also have diagnostic accuracy. This study examined the diagnostic…
Descriptors: Screening Tests, Accuracy, Computer Assisted Testing, Achievement Tests
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Tiffany Wu; Christina Weiland; Meghan McCormick; JoAnn Hsueh; Catherine Snow; Jason Sachs – Grantee Submission, 2024
The Hearts and Flowers (H&F) task is a computerized executive functioning (EF) assessment that has been used to measure EF from early childhood to adulthood. It provides data on accuracy and reaction time (RT) across three different task blocks (hearts, flowers, and mixed). However, there is a lack of consensus in the field on how to score the…
Descriptors: Scoring, Executive Function, Kindergarten, Young Children
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Gary Robinaugh; Maya L. Henry; Robert Cavanaugh; Stephanie M. Grasso – Journal of Speech, Language, and Hearing Research, 2024
Purpose: The purpose of this study was to investigate the effectiveness of a self-administered naming treatment for one individual, B.N., presenting with semantic variant primary progressive aphasia (svPPA) and a history of traumatic brain injury (TBI). Method: Naming treatment included components of Lexical Retrieval Cascade Treatment and was…
Descriptors: Aphasia, Head Injuries, Brain, Naming
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Yongze Xu – Educational and Psychological Measurement, 2024
The questionnaire method has always been an important research method in psychology. The increasing prevalence of multidimensional trait measures in psychological research has led researchers to use longer questionnaires. However, questionnaires that are too long will inevitably reduce the quality of the completed questionnaires and the efficiency…
Descriptors: Item Response Theory, Questionnaires, Generalization, Simulation
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Hadas Dahary; Charlotte Rimmer; Eve-Marie Quintin – Journal of Autism and Developmental Disorders, 2024
Many autistic children show musical interests and good musical skills including pitch and melodic memory. Autistic children may also perceive temporal regularities in music such as the primary beat underlying the rhythmic structure of music given some work showing preserved rhythm processing in the context of basic, nonverbal auditory stimuli. The…
Descriptors: Autism Spectrum Disorders, Children, Cognitive Ability, Perceptual Motor Learning
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Heather Kleider-Offutt; Beth Stevens; Laura Mickes; Stewart Boogert – Cognitive Research: Principles and Implications, 2024
Artificial intelligence is already all around us, and its usage will only increase. Knowing its capabilities is critical. A facial recognition system (FRS) is a tool for law enforcement during suspect searches and when presenting photos to eyewitnesses for identification. However, there are no comparisons between eyewitness and FRS accuracy using…
Descriptors: Artificial Intelligence, Race, Recognition (Psychology), Video Technology
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Sara J. Margolin; Timothy Brackins – Educational Gerontology, 2024
Negated text is a difficult text construction that readers encounter in various forms throughout their lives. Despite a wealth of research on its impact, including potential strategies to improve comprehension, readers maintain poor comprehension when encountering this text construction. Given its large potential impact on reading texts like…
Descriptors: Older Adults, Reading Comprehension, Reading Strategies, Accuracy
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Hui Han; Silvana Trimi – Education and Information Technologies, 2024
Cloud computing-based online education has played a vital role in enabling uninterrupted learning during crises such as the COVID-19 pandemic. This study explored the key variables associated with cloud computing that can effectively support the operation of online education platforms. By analyzing real data from 63 online learning platforms, the…
Descriptors: Computer Software, Learning Management Systems, Online Courses, Correlation
Kaleigh Pate – ProQuest LLC, 2024
This study examined how elementary preservice teachers attend to precision and how exposure to engaging tasks and activities impacted the development of this Standard for Mathematical Practice. Additionally, the study aimed to understand how the experiences of this study impacted participants' perspectives toward implementing SMP 6: Attend to…
Descriptors: Elementary School Teachers, Preservice Teachers, Preservice Teacher Education, Mathematics Teachers
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Dalia Khairy; Nouf Alharbi; Mohamed A. Amasha; Marwa F. Areed; Salem Alkhalaf; Rania A. Abougalala – Education and Information Technologies, 2024
Student outcomes are of great importance in higher education institutions. Accreditation bodies focus on them as an indicator to measure the performance and effectiveness of the institution. Forecasting students' academic performance is crucial for every educational establishment seeking to enhance performance and perseverance of its students and…
Descriptors: Prediction, Tests, Scores, Information Retrieval
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Alyssa Devey – Composition Forum, 2024
Even though learning outcomes have become an expected part of writing programs, how they are defined and subsequently used is often unclear. This study did a textual analysis of the terms used for "outcomes" on 42 universities' first-year writing webpages. The study found that university writing programs use different terms for…
Descriptors: Universities, College Freshmen, Writing (Composition), Writing Instruction
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