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Eli Marie Killi; Ingvil Laberg Holthe; Nina Rohrer-Baumgartner; Shari L. Wade; Marianne Løvstad; Edel Jannecke Svendsen – Journal of Research in Special Educational Needs, 2025
Children living with the consequences of paediatric acquired brain injury (pABI) may experience persistent challenges that impact their social interactions, academic performance and community integration. Participating in activities is of paramount importance for the development of social and academic skills. The participants in this qualitative…
Descriptors: Children, Pediatrics, Head Injuries, Neurological Impairments
Beth Chance; Karen McGaughey; Sophia Chung; Alex Goodman; Soma Roy; Nathan Tintle – Journal of Statistics and Data Science Education, 2025
"Simulation-based inference" is often considered a pedagogical strategy for helping students develop inferential reasoning, for example, giving them a visual and concrete reference for deciding whether the observed statistic is unlikely to happen by chance alone when the null hypothesis is true. In this article, we highlight for teachers…
Descriptors: Simulation, Sampling, Randomized Controlled Trials, Hypothesis Testing
Zuchao Shen; Walter Leite; Huibin Zhang; Jia Quan; Huan Kuang – Journal of Experimental Education, 2025
When designing cluster-randomized trials (CRTs), one important consideration is determining the proper sample sizes across levels and treatment conditions to cost-efficiently achieve adequate statistical power. This consideration is usually addressed in an optimal design framework by leveraging the cost structures of sampling and optimizing the…
Descriptors: Randomized Controlled Trials, Feasibility Studies, Research Design, Sample Size
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
Debbie L. Hahs-Vaughn; Christine Depies DeStefano; Christopher D. Charles; Mary Little – American Journal of Evaluation, 2025
Randomized experiments are a strong design for establishing impact evidence because the random assignment mechanism theoretically allows confidence in attributing group differences to the intervention. Growth of randomized experiments within educational studies has been widely documented. However, randomized experiments within education have…
Descriptors: Educational Research, Randomized Controlled Trials, Research Problems, Educational Policy
Huibin Zhang; Zuchao Shen; Walter L. Leite – Journal of Experimental Education, 2025
Cluster-randomized trials have been widely used to evaluate the treatment effects of interventions on student outcomes. When interventions are implemented by teachers, researchers need to account for the nested structure in schools (i.e., students are nested within teachers nested within schools). Schools usually have a very limited number of…
Descriptors: Sample Size, Multivariate Analysis, Randomized Controlled Trials, Correlation
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
Jessica Sperling; Megan Gray; Victoria Lee; Lorrie Schmid; Nicholas Malinowski – American Journal of Evaluation, 2025
There has been increased focus within the evaluation field on the value of community-engaged research (CER) methods; however, CER is not easily seen as compatible with experimental evaluation methods (or randomized controlled trial, RCT). For instance, in an experimental design, researchers leverage randomization to create a counterfactual; this…
Descriptors: Community Involvement, Research Methodology, Randomized Controlled Trials, After School Programs
Yanping Pei; Adam C. Sales; Hyeon-Ah Kang; Tiffany A. Whittaker – International Educational Data Mining Society, 2025
Fully-Latent Principal Stratification (FLPS) offers a promising approach for estimating treatment effect heterogeneity based on patterns of students' interactions with Intelligent Tutoring Systems (ITSs). However, FLPS relies on correctly specified models. In addition, multiple latent variables, such as ability, participation, and epistemic…
Descriptors: Intelligent Tutoring Systems, Measurement, Computation, Simulation
Peter Z. Schochet – Journal of Educational and Behavioral Statistics, 2025
Random encouragement designs evaluate treatments that aim to increase participation in a program or activity. These randomized controlled trials (RCTs) can also assess the mediated effects of participation itself on longer term outcomes using a complier average causal effect (CACE) estimation framework. This article considers power analysis…
Descriptors: Statistical Analysis, Computation, Causal Models, Research Design
Tieme W. P. Janssen; Nienke van Atteveldt – British Journal of Educational Psychology, 2025
Background: Although past research demonstrated growth mindset interventions to improve school outcomes, effects were small. This may be due to the "theoretical" nature of psychosocial techniques (e.g., reading about brain plasticity), which may not be optimally convincing for students. Aims: To address this issue and improve…
Descriptors: Self Efficacy, Beliefs, Intervention, Student Attitudes
Alexis M. Brewe; Ligia Antezana; Corinne N. Carlton; Denis Gracanin; John A. Richey; Inyoung Kim; Susan W. White – Journal of Autism and Developmental Disorders, 2025
Purpose: Many individuals with autism spectrum disorder (ASD) experience challenges with facial emotion recognition (FER), which may exacerbate social difficulties in ASD. Few studies have examined whether FER can be experimentally manipulated and improved for autistic people. This study utilized a randomized controlled trial design to examine…
Descriptors: Randomized Controlled Trials, Brain, Nonverbal Communication, Emotional Response
Louise D. Denne; Gwenllian Moody; Elinor Coulman; David Gillespie; Kate Ingarfield; Nicholas Manktelow; Corinna F. Grindle; J. Carl Hughes; Zac Taylor; Richard P. Hastings – Journal of Applied Research in Intellectual Disabilities, 2025
Background: There is a paucity of research into interventions that help people with intellectual disabilities learn to read. This feasibility study examines whether an online reading programme, Headsprout, with additional support strategies and supervision (the intervention), can be delivered by support workers/family carers and the feasibility of…
Descriptors: Reading Skills, Reading Instruction, Intellectual Disability, Online Courses
Avril Nicoll; Marian C. Brady; Patricia Masterson-Algar; Christopher Burton; Gillian Beaton; Sylvia Dickson; Maria Caulfield; Christina H. Smith; Carl E. Clarke; Natalie Ives; Sue Jowett; Caroline Rick; Rebecca Woolley; Catherine M. Sackley – International Journal of Language & Communication Disorders, 2025
Background: As people with Parkinson's experience progressive communication changes, effective, implementable speech and language therapy (SLT) interventions are needed. Process evaluations alongside pragmatic randomised controlled trials (RCTs) are of clinical value if they describe, compare and understand the implementation of trial…
Descriptors: Foreign Countries, Neurological Impairments, Intervention, Program Implementation
Charlotte Z. Mann; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2025
Combining observational and experimental data for causal inference can improve treatment effect estimation. However, many observational data sets cannot be released due to data privacy considerations, so one researcher may not have access to both experimental and observational data. Nonetheless, a small amount of risk of disclosing sensitive…
Descriptors: Causal Models, Statistical Analysis, Privacy, Risk

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