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Yongtian Cheng; K. V. Petrides – Educational and Psychological Measurement, 2025
Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…
Descriptors: Psychological Studies, Artificial Intelligence, Cognitive Processes, Predictive Validity
Maria Spinelli; Diane L. Putnick; Prachi E. Shah; Marc H. Bornstein – International Journal of Behavioral Development, 2025
Understanding of preterm infant cognitive competences across the first year of life is limited regarding the developmental constructs of continuity, stability, coherence, and predictive validity as well as how they manifest by age and country of origin. This prospective longitudinal study examined and compared mean-level continuity,…
Descriptors: Premature Infants, Cognitive Ability, Foreign Countries, Reliability
Umar Shehzad; Mimi Recker; Jody Clarke-Midura – Assessment in Education: Principles, Policy & Practice, 2025
This study investigates the use of exit tickets as formative assessments in maths-integrated computer science (CS) lessons for grade 5 students. Exit tickets are brief surveys administered immediately after instructional activities. Using structural equation modelling (SEM), we analysed data from 1,067 students to examine the reliability and…
Descriptors: Formative Evaluation, Psychological Patterns, Computer Science Education, Grade 5
Leonie Fleck; Dorothee Amelung; Anna Fuchs; Benjamin Mayer; Malvin Escher; Lena Listunova; Jobst-Hendrik Schultz; Andreas Möltner; Clara Schütte; Tim Wittenberg; Isabella Schneider; Sabine C. Herpertz – Advances in Health Sciences Education, 2025
Doctors' interactional competencies play a crucial role in patient satisfaction, well-being, and compliance. Accordingly, it is in medical schools' interest to select candidates with strong interactional abilities. While Multiple Mini Interviews (MMIs) provide a useful context to assess such abilities, the evaluation of candidate performance…
Descriptors: Medical Students, Medical Schools, College Admission, Admission Criteria
Klaus D. Jakobsen; Kirsten Callesen; Ejnar B. Larsen; Ole B. V. Pedersen; Maria Didriksen; Sisse R. Ostrowski; Karl B. Christensen – Journal of Autism and Developmental Disorders, 2025
Purpose: Systemizer Profile Questionnaire (SPQ), which has not been used before, investigates difficulties in mentalisation, sensory- and/or social sensitivity and social cognition (MSSSC) in subjects with Autism-Spectrum-Disorders (ASD) with and without Attention-Deficit-Hyperactivity-Disorder (ADHD). The aim of this study was to evaluate the…
Descriptors: Test Validity, Questionnaires, Disability Identification, Autism Spectrum Disorders
Katherine E. Castellano; Daniel F. McCaffrey; Joseph A. Martineau – Educational Measurement: Issues and Practice, 2025
Growth-to-standard models evaluate student growth against the growth needed to reach a future standard or target of interest, such as proficiency. A common growth-to-standard model involves comparing the popular Student Growth Percentile (SGP) to Adequate Growth Percentiles (AGPs). AGPs follow from an involved process based on fitting a series of…
Descriptors: Student Evaluation, Growth Models, Student Educational Objectives, Educational Indicators

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