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Peltier, Corey; Muharib, Reem; Haas, April; Dowdy, Art – Journal of Autism and Developmental Disorders, 2022
In single-case research designs (SCDs) to determine a functional relation a time-series graph is constructed. Preliminary evidence suggest the approach used to scale the vertical axis and the data points per x- to y-axis ratio (DPPXYR) impact visual analysts' decisions. We conducted a systematic review to evaluate time-series graphs published in…
Descriptors: Research Design, Graphs, Scaling, Error Patterns
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Prathiba Natesan Batley; Erica B. McClure; Brandy Brewer; Ateka A. Contractor; Nicholas John Batley; Larry Vernon Hedges; Stephanie Chin – Grantee Submission, 2023
N-of-1 trials, a special case of Single Case Experimental Designs (SCEDs), are prominent in clinical medical research and specifically psychiatry due to the growing significance of precision/personalized medicine. It is imperative that these clinical trials be conducted, and their data analyzed, using the highest standards to guard against threats…
Descriptors: Medical Research, Research Design, Data Analysis, Effect Size
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Schwichow, Martin; Brandenburger, Martina; Wilbers, Jens – International Journal of Science Education, 2022
Designing and interpreting controlled experiments are important inquiry skills addressed in many current science curricula. The relevant skills associated with the design and interpretation of controlled experiments are summarised under the term control-of-variables strategy (CVS). Research on elementary school students' CVS skills shows that they…
Descriptors: Research Design, Inquiry, Elementary School Students, Comparative Analysis
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Rickard, Timothy C.; Pan, Steven C.; Gupta, Mohan W. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
We explored the possibility of publication bias in the sleep and explicit motor sequence learning literature by applying precision effect test (PET) and precision effect test with standard errors (PEESE) weighted regression analyses to the 88 effect sizes from a recent comprehensive literature review (Pan & Rickard, 2015). Basic PET analysis…
Descriptors: Publications, Bias, Sleep, Psychomotor Skills
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Wind, Stefanie A.; Jones, Eli – Journal of Educational Measurement, 2019
Researchers have explored a variety of topics related to identifying and distinguishing among specific types of rater effects, as well as the implications of different types of incomplete data collection designs for rater-mediated assessments. In this study, we used simulated data to examine the sensitivity of latent trait model indicators of…
Descriptors: Rating Scales, Models, Evaluators, Data Collection
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Preston, Jonathan L.; McAllister, Tara; Phillips, Emily; Boyce, Suzanne; Tiede, Mark; Kim, Jackie S.; Whalen, Douglas H. – Journal of Speech, Language, and Hearing Research, 2018
Purpose: The aim of this study was to explore how the frequency with which ultrasound visual feedback (UVF) is provided during speech therapy affects speech sound learning. Method: Twelve children with residual speech errors affecting [alveolar approximant] participated in a multiple-baseline across-subjects design with 2 treatment conditions. One…
Descriptors: Research Design, Speech Therapy, Outcomes of Treatment, Children
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Chong, Sin Wang – Language Education & Assessment, 2019
In the past decade (2007-2017), research on written corrective feedback (WCF) has been proliferating in English-as-a-Second-Language (ESL) and English-as-a-Foreign-Language (EFL) contexts, and new developments in this field of research are evident. To synthesize the latest advancement in WCF research, a systematic review of recent literature on…
Descriptors: Educational Research, Research Design, Writing Assignments, Error Correction
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Heyvaert, Mieke; Moeyaert, Mariola; Verkempynck, Paul; Van den Noortgate, Wim; Vervloet, Marlies; Ugille, Maaike; Onghena, Patrick – Journal of Experimental Education, 2017
This article reports on a Monte Carlo simulation study, evaluating two approaches for testing the intervention effect in replicated randomized AB designs: two-level hierarchical linear modeling (HLM) and using the additive method to combine randomization test "p" values (RTcombiP). Four factors were manipulated: mean intervention effect,…
Descriptors: Monte Carlo Methods, Simulation, Intervention, Replication (Evaluation)
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Deke, John; Wei, Thomas; Kautz, Tim – National Center for Education Evaluation and Regional Assistance, 2017
Evaluators of education interventions are increasingly designing studies to detect impacts much smaller than the 0.20 standard deviations that Cohen (1988) characterized as "small." While the need to detect smaller impacts is based on compelling arguments that such impacts are substantively meaningful, the drive to detect smaller impacts…
Descriptors: Intervention, Educational Research, Research Problems, Statistical Bias