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Onur Dönmez; Yavuz Akbulut; Gözde Zabzun; Berrin Köseoglu – Applied Cognitive Psychology, 2025
This study investigates the effect of survey order in measuring self-reported cognitive load. Understanding how survey order influences responses is crucial, but it has been largely overlooked in the context of cognitive load. Using a 2 × 2 experimental design with 319 high school students, the study manipulated intrinsic cognitive load (ICL)…
Descriptors: Surveys, Test Construction, Measurement, Cognitive Processes
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Bogomolova, Katerina; Vorstenbosch, Marc A. T. M.; El Messaoudi, Inssaf; Holla, Micha; Hovius, Steven E. R.; van der Hage, Jos A.; Hierck, Beerend P. – Anatomical Sciences Education, 2023
Binocular disparity provides one of the important depth cues within stereoscopic three-dimensional (3D) visualization technology. However, there is limited research on its effect on learning within a 3D augmented reality (AR) environment. This study evaluated the effect of binocular disparity on the acquisition of anatomical knowledge and…
Descriptors: Anatomy, Visualization, Technology, Difficulty Level
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Mulhall, Peter; Taggart, Laurence; McAloon, Toni; Coates, Vivien – Journal of Applied Research in Intellectual Disabilities, 2021
Background: Globally, conducting randomised controlled trials can be a complex endeavour. The complexity increases when including participants with cognitive or intellectual disabilities. A fuller understanding of the barriers and challenges that can be expected in such trials may help researchers to make their trials more inclusive for people…
Descriptors: Randomized Controlled Trials, Adults, Intellectual Disability, Expertise
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Joshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Journal of Educational and Behavioral Statistics, 2025
Analyzing heterogeneous treatment effects (HTEs) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and preintervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics
Joshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Annenberg Institute for School Reform at Brown University, 2024
Analyzing heterogeneous treatment effects (HTE) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and pre-intervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics