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Clintin P. Davis-Stober; Jason Dana; David Kellen; Sara D. McMullin; Wes Bonifay – Grantee Submission, 2023
Conducting research with human subjects can be difficult because of limited sample sizes and small empirical effects. We demonstrate that this problem can yield patterns of results that are practically indistinguishable from flipping a coin to determine the direction of treatment effects. We use this idea of random conclusions to establish a…
Descriptors: Research Methodology, Sample Size, Effect Size, Hypothesis Testing
Thomas Cook; Mansi Wadhwa; Jingwen Zheng – Society for Research on Educational Effectiveness, 2023
Context: A perennial problem in applied statistics is the inability to justify strong claims about cause-and-effect relationships without full knowledge of the mechanism determining selection into treatment. Few research designs other than the well-implemented random assignment study meet this requirement. Researchers have proposed partial…
Descriptors: Observation, Research Design, Causal Models, Computation
Di Liu; Yiwen Mao; Catharine Lory; Qingli Lei; Yingying Zeng – Psychology in the Schools, 2024
Computation is foundational to learning many mathematics concepts, as well as a functional skill in everyday life. Yet students with autism spectrum disorder (ASD) often have challenges in learning computation skills. The current study aimed to provide quantitative and descriptive analyses of single-case experimental studies on computation…
Descriptors: Computation, Intervention, Students with Disabilities, Autism Spectrum Disorders
Toluchuri Shalini Shanker Rao; Kaushal Kumar Bhagat – Educational Technology Research and Development, 2024
Computational thinking (CT) has received growing interest as a research subject in the last decade, with research contributions attempting to capitalize on the benefits that CT may provide. This study included a systematic analysis aimed at revealing current trends in the CT subject, identifying educational interventions, and emerging assessment…
Descriptors: Computation, Thinking Skills, Educational Research, Skill Development
Boers, Frank; Bryfonski, Lara; Faez, Farahnaz; McKay, Todd – Studies in Second Language Acquisition, 2021
Meta-analytic reviews collect available empirical studies on a specified domain and calculate the average effect of a factor. Educators as well as researchers exploring a new domain of inquiry may rely on the conclusions from meta-analytic reviews rather than reading multiple primary studies. This article calls for caution in this regard because…
Descriptors: Meta Analysis, Literature Reviews, Effect Size, Computation
Min-Chi Chiu; Gwo-Jen Hwang; Yun-Fang Tu – Interactive Learning Environments, 2024
This research reviews 56 robots in science education (RSE) research articles published in SSCI (Social Sciences Citation Index) journals in the Web of Science (WoS) database. The analysis results showed that there were three clusters of RSE studies: robots in elementary science education, robot-based STEM activities, and robot-facilitated…
Descriptors: Robotics, Science Education, Literature Reviews, Bibliometrics
Kite, Vance; Park, Soonhye; Wiebe, Eric – SAGE Open, 2021
Computational thinking (CT) is being recognized as a critical component of student success in the digital era. Many contend that integrating CT into core curricula is the surest method for providing all students with access to CT. However, the CT community lacks an agreed-upon conceptualization of CT that would facilitate this integration, and…
Descriptors: Computation, Thinking Skills, Programming, Coding
Moeyaert, Mariola – Behavioral Disorders, 2019
Multilevel meta-analysis is an innovative synthesis technique used for the quantitative integration of effect size estimates across participants and across studies. The quantitative summary allows for objective, evidence-based, and informed decisions in research, practice, and policy. Based on previous methodological work, the technique results in…
Descriptors: Meta Analysis, Evidence, Correlation, Predictor Variables
Westine, Carl D.; Unlu, Fatih; Taylor, Joseph; Spybrook, Jessaca; Zhang, Qi; Anderson, Brent – Journal of Research on Educational Effectiveness, 2020
Experimental research in education and training programs typically involves administering treatment to whole groups of individuals. As such, researchers rely on the estimation of design parameter values to conduct power analyses to efficiently plan their studies to detect desired effects. In this study, we present design parameter estimates from a…
Descriptors: Outcome Measures, Science Education, Mathematics Education, Intervention
Cutumisu, Maria; Adams, Cathy; Lu, Chang – Journal of Science Education and Technology, 2019
Computational thinking (CT) is regarded as an essential twenty-first century competency and it is already embedded in K-12 curricula across the globe. However, research on assessing CT has lagged, with few assessments being implemented and validated. Moreover, there is a lack of systematic grouping of CT assessments. This scoping review examines…
Descriptors: Computation, Thinking Skills, 21st Century Skills, Elementary Secondary Education
Csibra, Gergely; Hernik, Mikolaj; Mascaro, Olivier; Tatone, Denis; Lengyel, Máté – Developmental Psychology, 2016
Looking times (LTs) are frequently measured in empirical research on infant cognition. We analyzed the statistical distribution of LTs across participants to develop recommendations for their treatment in infancy research. Our analyses focused on a common within-subject experimental design, in which longer looking to novel or unexpected stimuli is…
Descriptors: Eye Movements, Time, Statistical Distributions, Infants
Westlund, Erik; Stuart, Elizabeth A. – American Journal of Evaluation, 2017
This article discusses the nonuse, misuse, and proper use of pilot studies in experimental evaluation research. The authors first show that there is little theoretical, practical, or empirical guidance available to researchers who seek to incorporate pilot studies into experimental evaluation research designs. The authors then discuss how pilot…
Descriptors: Use Studies, Pilot Projects, Evaluation Research, Experiments
Ilic, Ulas; Haseski, Halil Ibrahim; Tugtekin, Ufuk – Contemporary Educational Technology, 2018
The current study aimed to review studies on computational thinking (CT) indexed in Web of Science (WOS) and ERIC databases. A thorough search in electronic databases revealed 96 studies on computational thinking which were published between 2006 and 2016. Studies were exposed to a quantitative content analysis through using an article control…
Descriptors: Trend Analysis, Educational Trends, Periodicals, Databases
Lazowski, Rory A.; Hulleman, Chris S. – Review of Educational Research, 2016
This meta-analysis provides an extensive and organized summary of intervention studies in education that are grounded in motivation theory. We identified 74 published and unpublished papers that experimentally manipulated an independent variable and measured an authentic educational outcome within an ecologically valid educational context. Our…
Descriptors: Student Motivation, Intervention, Meta Analysis, Effect Size
Ellingsen, Ryleigh; Clinton, Elias – Educational Research Quarterly, 2017
This manuscript reviews the empirical literature of the TouchMath© instructional program. The TouchMath© program is a commercial mathematics series that uses a dot notation system to provide multisensory instruction of computation skills. Using the program, students are taught to solve computational tasks in a multisensory manner that does not…
Descriptors: Disabilities, At Risk Students, Teaching Methods, Mathematics Instruction
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