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Kristi L. Morin; Esther R. Lindström; Thomas R. Kratochwill; Joel R. Levin; Alyssa Blasko; Amanda Weir; Christiana M. Nielsen-Pheiffer; Samantha Kelly; Davit Janunts; Ee Rea Hong – Exceptional Children, 2024
Although quality guidelines for single-case intervention research emphasize the importance of concurrent baselines in multiple-baseline and multiple-probe designs, nonconcurrent variations on these designs persist in the research literature. This study describes a systematic review of special education intervention studies (k = 406) between 1988…
Descriptors: Special Education, Educational Quality, Guidelines, Intervention
Riyan Hidayat; Irham Nugroho; Zamzami Zainuddin; Tony Anak Ingai – Information and Learning Sciences, 2024
In the realm of education, there has been an increasing emphasis on developing analytical thinking (AT) in the past few years. This systematic review focuses on an analysis of journal publications that have explored AT within the context of science, technology, engineering and mathematics (STEM) education. This analysis investigated four primary…
Descriptors: STEM Education, Evaluative Thinking, Thinking Skills, Literature Reviews
Milica Miocevic; Fayette Klaassen; Mariola Moeyaert; Gemma G. M. Geuke – Journal of Experimental Education, 2025
Mediation analysis in Single Case Experimental Designs (SCEDs) evaluates intervention mechanisms for individuals. Despite recent methodological developments, no clear guidelines exist for maximizing power to detect the indirect effect in SCEDs. This study compares frequentist and Bayesian methods, determining (1) minimum required sample size to…
Descriptors: Research Design, Mediation Theory, Statistical Analysis, Simulation
William Herbert Yeaton – International Journal of Research & Method in Education, 2024
Though previously unacknowledged, a SMART (Sequential Multiple Assignment Randomized Trial) design uses both regression discontinuity (RD) and randomized controlled trial (RCT) designs. This combination structure creates a conceptual symbiosis between the two designs that enables both RCT- and previously unrecognized, RD-based inferential claims.…
Descriptors: Research Design, Randomized Controlled Trials, Regression (Statistics), Inferences
Michele Jacobsen; Susan McKenney – Educational Technology Research and Development, 2024
Educational Design Research (EDR) employs a diverse range of methods to study learning, teaching, design, and technology--and new ones are shared in this special issue. We contend that a focus on methods inherently requires examination of the questions they are used to answer and the ways in which the resulting findings advance scientific…
Descriptors: Educational Research, Research Design, Research Methodology, Intervention
Luke Keele; Matthew Lenard; Lindsay Page – Journal of Research on Educational Effectiveness, 2024
In education settings, treatments are often non-randomly assigned to clusters, such as schools or classrooms, while outcomes are measured for students. This research design is called the clustered observational study (COS). We examine the consequences of common support violations in the COS context. Common support violations occur when the…
Descriptors: Intervention, Cluster Grouping, Observation, Catholic Schools
Leigh Ann Tipton-Fisler; Erin Knight – Contemporary School Psychology, 2024
This review aimed to synthesize the group design literature to identify the evidence-based reading comprehension interventions for children with ASD. The primary aim was to identify which reading comprehension interventions had demonstrated positive effects for students with ASD in group design studies. This review was initiated using both…
Descriptors: Research Design, Reading Comprehension, Autism Spectrum Disorders, Intervention
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
Ling Zhang; Gabriel J. Stylianides; Andreas J. Stylianides – International Journal of STEM Education, 2024
Mathematical problem posing, generally defined as the process of interpreting given situations and formulating meaningful mathematical problems, is academically important, and thus several interventions have been used to enhance this competence among students and teachers. Yet little is known about the interventions' various components and their…
Descriptors: Mathematics Skills, Problem Solving, Competence, Meta Analysis
Matthew Schmidt; Jie Lu; Rui Huang; Marc-Sonley Francois; Minyoung Lee; Xiaoman Wang; Pedro Guillermo Feijóo-García – Educational Technology & Society, 2024
Extended reality (XR) such as Virtual Reality (VR) and Augmented Reality (AR) has been heralded as a particularly promising technology for autistic people. However, prior studies have centered around curing or ameliorating deficits and impairments and are typically conducted by non-disabled and non-autistic researchers. Using co-design and a…
Descriptors: Computer Simulation, Autism Spectrum Disorders, Research Methodology, Inclusion
Heining Cham; Hyunjung Lee; Igor Migunov – Asia Pacific Education Review, 2024
The randomized control trial (RCT) is the primary experimental design in education research due to its strong internal validity for causal inference. However, in situations where RCTs are not feasible or ethical, quasi-experiments are alternatives to establish causal inference. This paper serves as an introduction to several quasi-experimental…
Descriptors: Causal Models, Educational Research, Quasiexperimental Design, Research Design
Ethan R. Van Norman; David A. Klingbeil; Adelle K. Sturgell – Grantee Submission, 2024
Single-case experimental designs (SCEDs) have been used with increasing frequency to identify evidence-based interventions in education. The purpose of this study was to explore how several procedural characteristics, including within-phase variability (i.e., measurement error), number of baseline observations, and number of intervention…
Descriptors: Research Design, Case Studies, Effect Size, Error of Measurement
Wei Li; Yanli Xie; Dung Pham; Nianbo Dong; Jessaca Spybrook; Benjamin Kelcey – Asia Pacific Education Review, 2024
Cluster randomized trials (CRTs) are commonly used to evaluate the causal effects of educational interventions, where the entire clusters (e.g., schools) are randomly assigned to treatment or control conditions. This study introduces statistical methods for designing and analyzing two-level (e.g., students nested within schools) and three-level…
Descriptors: Research Design, Multivariate Analysis, Randomized Controlled Trials, Hierarchical Linear Modeling
Timothy Lycurgus; Daniel Almirall – Society for Research on Educational Effectiveness, 2024
Background: Education scientists are increasingly interested in constructing interventions that are adaptive over time to suit the evolving needs of students, classrooms, or schools. Such "adaptive interventions" (also referred to as dynamic treatment regimens or dynamic instructional regimes) determine which treatment should be offered…
Descriptors: Educational Research, Research Design, Randomized Controlled Trials, Intervention
Herb Turner; Raifu Durodoye – Technology, Knowledge and Learning, 2024
Designing rigorous studies to identify technology-based interventions to improve K-12 student reading skills require intervention researchers to take a "road less traveled." This chapter presents that road using the Knowledge Acquisition and Transformation Expansions (KATE) intervention as a case study. An early version of KATE has shown…
Descriptors: Reading Instruction, Intervention, Technology Uses in Education, Elementary Secondary Education
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