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Peer reviewed
Direct linkArmijo-Olivo, Susan; Craig, Rodger; Campbell, Sandy – Research Synthesis Methods, 2020
Background: Evidence from new health technologies is growing, along with demands for evidence to inform policy decisions, creating challenges in completing health technology assessments (HTAs)/systematic reviews (SRs) in a timely manner. Software can decrease the time and burden by automating the process, but evidence validating such software is…
Descriptors: Comparative Analysis, Computer Software, Decision Making, Randomized Controlled Trials
Cummiskey, Kevin; Adams, Bryan; Pleuss, James; Turner, Dusty; Clark, Nicholas; Watts, Krista – Journal of Statistics Education, 2020
Over the last two decades, statistics educators have made important changes to introductory courses. Current guidelines emphasize developing statistical thinking in students and exposing them to the entire investigative process in the context of interesting research questions and real data. As a result, many concepts (confounding, multivariable…
Descriptors: Statistics, Teaching Methods, Inferences, Guidelines
Rollins, Pamela Rosenthal; John, Sereena; Jones, Alexandria; De Froy, Adrienne – Journal of Autism and Developmental Disorders, 2019
We examined the relationship between initial parenting stress and change in parental responsivity for 56 culturally and socioeconomically diverse families in a 12 week randomized control trial of Pathways Early ASD Intervention. Families were randomized into the Pathways (n = 32) or treatment-as-usual (TAU n = 24) group. Overall, Pathways parents…
Descriptors: Autism, Pervasive Developmental Disorders, Child Rearing, Parents
Donovan, Brian M.; Semmens, Rob; Keck, Phillip; Brimhall, Elizabeth; Busch, K. C.; Weindling, Monica; Duncan, Alex; Stuhlsatz, Molly; Bracey, Zoë Buck; Bloom, Mark; Kowalski, Susan; Salazar, Brae – Science Education, 2019
When people are exposed to information that leads them to overestimate the actual amount of genetic difference between racial groups, it can augment their racial biases. However, there is apparently no research that explores if the reverse is possible. Does teaching adolescents scientifically accurate information about genetic variation within and…
Descriptors: Genetics, Racial Bias, Adolescents, Adults
Heather C. Hill; Anna Erickson – Educational Researcher, 2019
Poor program implementation constitutes one explanation for null results in trials of educational interventions. For this reason, researchers often collect data about implementation fidelity when conducting such trials. In this article, we document whether and how researchers report and measure program fidelity in recent cluster-randomized trials.…
Descriptors: Fidelity, Program Implementation, Program Effectiveness, Intervention
Download full textMcHugh, Douglas; Feinn, Richard; McIlvenna, Jeff; Trevithick, Matt – Education Sciences, 2021
Learner-centered coaching and feedback are relevant to various educational contexts. Spaced retrieval enhances long-term knowledge retention. We examined the efficacy of Blank Slate, a novel spaced retrieval software application, to promote learning and prevent forgetting, while gathering and analyzing data in the background about learners'…
Descriptors: Randomized Controlled Trials, Learning Analytics, Coaching (Performance), Formative Evaluation
Isaac M. Opper – Annenberg Institute for School Reform at Brown University, 2021
Researchers often include covariates when they analyze the results of randomized controlled trials (RCTs), valuing the increased precision of the estimates over the potential of inducing small-sample bias when doing so. In this paper, we develop a sufficient condition which ensures that the inclusion of covariates does not cause small-sample bias…
Descriptors: Randomized Controlled Trials, Sample Size, Statistical Bias, Artificial Intelligence
Uhlmann, Lorenz; Jensen, Katrin; Kieser, Meinhard – Research Synthesis Methods, 2017
Network meta-analysis is becoming a common approach to combine direct and indirect comparisons of several treatment arms. In recent research, there have been various developments and extensions of the standard methodology. Simultaneously, cluster randomized trials are experiencing an increased popularity, especially in the field of health services…
Descriptors: Bayesian Statistics, Network Analysis, Meta Analysis, Randomized Controlled Trials
Lewis, Catherine; Perry, Rebecca – Journal for Research in Mathematics Education, 2017
An understanding of fractions eludes many U.S. students, and research-based knowledge about fraction, such as the utility of linear representations, has not broadly influenced instruction. This randomized trial of lesson study supported by mathematical resources assigned 39 educator teams across the United States to locally managed lesson study…
Descriptors: Fractions, Randomized Controlled Trials, Mathematics Education, Lesson Plans
Wang, Mei; Sun, Guangwen; Chang, Yaping; Jin, Yanling; Leenus, Alvin; Maaz, Muhammad; Li, Guowei; Bhatt, Meha; Abbade, Luciana P. F.; Nwosu, Ikunna; Zielinski, Laura; Sanger, Nitika; Bantoto, Bianca; Luo, Candice; Shams, Ieta; Shahid, Hamnah; Adachi, Jonathan; Mbuagbaw, Lawrence; Levine, Mitchell; Samaan, Zainab; Thabane, Lehana – Research on Social Work Practice, 2018
Behavioral and social sciences randomized controlled trials (BSSTs) have a significant role in life sciences. Choosing an appropriate control or comparator group for BSSTs is critical, to provide true intervention effects. The objective of this study was to determine the types of control groups used in BSSTs, and the rationale provided to justify…
Descriptors: Randomized Controlled Trials, Databases, Behavioral Science Research, Social Science Research
Schochet, Peter Z. – Journal of Educational and Behavioral Statistics, 2018
Design-based methods have recently been developed as a way to analyze randomized controlled trial (RCT) data for designs with a single treatment and control group. This article builds on this framework to develop design-based estimators for evaluations with multiple research groups. Results are provided for a wide range of designs used in…
Descriptors: Randomized Controlled Trials, Computation, Educational Research, Experimental Groups
Schochet, Peter – Society for Research on Educational Effectiveness, 2018
Design-based methods have recently been developed as a way to analyze data from impact evaluations of interventions, programs, and policies (Freedman, 2008; Lin, 2013; Imbens and Rubin, 2015; Schochet, 2013, 2016; Yang and Tsiatis, 2001). The non-parametric estimators are derived using the building blocks of experimental designs with minimal…
Descriptors: Randomized Controlled Trials, Computation, Educational Research, Experimental Groups
Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
González, Sonia K.; Grov, Christian – Journal of American College Health, 2022
Objective: To evaluate different recruitment methods to enroll participants into a mHealth pilot RCT: banner ads on Facebook and OkCupid, and targeted electronic outreach (e.g., emails to community-based organizations and to professors at local colleges). Participants: Between October 2015 and May 2016, 114 college-aged Black and Latina women 18…
Descriptors: Recruitment, Social Media, Electronic Mail, African American Students
Caroline Botvin; Tyler Watts; Jade Jenkins; Robert Carr; Kenneth Dodge; Douglas Clements; Julie Sarama – Society for Research on Educational Effectiveness, 2022
Background/Context: Early childhood education research has consistently found evidence of immediate, positive effects on developmental outcomes. Despite these strong initial benefits, follow-up analyses often reveal that these effects fadeout in the years following participation (e.g., Bailey et al., 2017, Clements et al., 2013; Lipsey et al.…
Descriptors: Preschool Education, Mathematics Education, Mathematics Curriculum, Randomized Controlled Trials
