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Andreas Lachner; Leonie Sibley; Salome Wagner – Educational Psychology Review, 2024
In educational research, there is the general trade-off that empirical evidence should be generalizable to be applicable across contexts; at the same time, empirical evidence should be as specific as possible to be localizable in subject-specific educational interventions to successfully transfer the empirical evidence to educational practice.…
Descriptors: Evidence Based Practice, Instructional Effectiveness, Science Instruction, Instructional Design
Owen, Kaydee L.; Watkins, Richard C.; Hughes, J. Carl – Review of Education, 2022
Developing an evidence-base for educational provision can be an arduous journey. To facilitate consistent and accurate implementation of promising approaches, research efforts need to answer questions relating to theoretical coherence, efficacy, effectiveness, cost, ease of use, and acceptability. An evidence-building framework can help us to…
Descriptors: Evidence Based Practice, Cooperation, Evidence, Definitions
Hans-Peter Piepho; Johannes Forkman; Waqas Ahmed Malik – Research Synthesis Methods, 2024
Checking for possible inconsistency between direct and indirect evidence is an important task in network meta-analysis. Recently, an evidence-splitting (ES) model has been proposed, that allows separating direct and indirect evidence in a network and hence assessing inconsistency. A salient feature of this model is that the variance for…
Descriptors: Maximum Likelihood Statistics, Evidence, Networks, Meta Analysis
Gerald Gartlehner; Leila Kahwati; Rainer Hilscher; Ian Thomas; Shannon Kugley; Karen Crotty; Meera Viswanathan; Barbara Nussbaumer-Streit; Graham Booth; Nathaniel Erskine; Amanda Konet; Robert Chew – Research Synthesis Methods, 2024
Data extraction is a crucial, yet labor-intensive and error-prone part of evidence synthesis. To date, efforts to harness machine learning for enhancing efficiency of the data extraction process have fallen short of achieving sufficient accuracy and usability. With the release of large language models (LLMs), new possibilities have emerged to…
Descriptors: Data Collection, Evidence, Synthesis, Language Processing
James Nicholson; Jim Ridgway – Teaching Statistics: An International Journal for Teachers, 2024
We explore ways in which statistics can be used to understand disease spread and support decision-making by governments. "Past performance does not guarantee future results"--we hope. We discuss and show examples from the National Science Foundation (NSF)-funded COVID-Inspired Data Science Education through Epidemiology (CIDSEE) project.…
Descriptors: COVID-19, Pandemics, Statistics, Communicable Diseases
Hong, Quan Nha; Bangpan, Mukdarut; Stansfield, Claire; Kneale, Dylan; O'Mara-Eves, Alison; Grootel, Leonie; Thomas, James – Research Synthesis Methods, 2022
Reviewing complex interventions is challenging because they include many elements that can interact dynamically in a nonlinear manner. A systems perspective offers a way of thinking to help understand complex issues, but its application in evidence synthesis is not established. The aim of this project was to understand how and why systems…
Descriptors: Intervention, Systems Approach, Evidence, Synthesis
Shaw, Liz; Nunns, Michael; Briscoe, Simon; Anderson, Rob; Thompson Coon, Jo – Research Synthesis Methods, 2021
The short time frame associated with rapid reviews can be challenging for researchers conducting qualitative evidence synthesis. In these circumstances a Best-Fit Framework Synthesis, drawing upon existing theory and/or research, may be conducted to rapidly make sense of qualitative evidence. This article discusses a "Rapid Best-Fit"…
Descriptors: Synthesis, Qualitative Research, Evidence, Literature Reviews
Konstantina Chalkou; Tasnim Hamza; Pascal Benkert; Jens Kuhle; Chiara Zecca; Gabrielle Simoneau; Fabio Pellegrini; Andrea Manca; Matthias Egger; Georgia Salanti – Research Synthesis Methods, 2024
Some patients benefit from a treatment while others may do so less or do not benefit at all. We have previously developed a two-stage network meta-regression prediction model that synthesized randomized trials and evaluates how treatment effects vary across patient characteristics. In this article, we extended this model to combine different…
Descriptors: Medical Research, Outcomes of Treatment, Risk, Randomized Controlled Trials
Kvernbekk, Tone – Educational Research and Evaluation, 2019
This paper discusses, compares, and contrasts 4 different models for bringing evidence from randomised controlled trials (RCTs) into practice and into practical reasoning. I look at what questions the models can and cannot answer, what role they accord to RCT evidence, and what their possible attraction for practitioners might be. The models are…
Descriptors: Role, Evidence Based Practice, Evidence, Models
Casanova, Emily L.; Widman, Cheryl J. – Evidence & Policy: A Journal of Research, Debate and Practice, 2021
Background: The Medical Model of disability focuses on diagnosed conditions. It is used in policy particularly to categorise people. This enables predictions and forecasting about the size of policy needs but tends to homogenise disability representations, assigning a negative evaluation to illness that may be irrespective of patho-anatomical…
Descriptors: Disabilities, Medicine, Models, Diversity
Child, Simon; Shaw, Stuart – Research Matters, 2023
This article provides a conceptual framework for considering both the theoretical and methodological factors that underpin the successful validation of a competency framework. Drawing on educational assessment literature, this article argues that a valid competency framework relates to an interpretive judgement of the credibility of the claims…
Descriptors: Competence, Validity, Accuracy, Models
Adhi Indra Hermanu; Diana Sari; Mery Citra Sondari; Muhammad Dimyati – International Journal of Educational Management, 2024
Purpose: This research aimed to examine the impact of input, process, output, productivity and outcome variables on university research performance and the indicators that represent them in order to improve academic quality and contribute to government policy. Design/methodology/approach: The quantitative approach was used through a survey method…
Descriptors: Foreign Countries, Universities, Institutional Research, Educational Research
Duschl, Richard; Avraamidou, Lucy; Azevedo, Nathália Helena – Science & Education, 2021
Grounded within current reform recommendations and built upon Giere's views (1986, 1999) on model-based science, we propose an alternative approach to science education which we refer to as the "Evidence-Explanation (EE) Continuum." The approach addresses conceptual, epistemological, and social domains of knowledge, and places emphasis…
Descriptors: Science Education, Epistemology, Data, Observation
Daly, Caitlin H.; Maconachie, Ross; Ades, A. E.; Welton, Nicky J. – Research Synthesis Methods, 2022
Randomised controlled trials of cancer treatments typically report progression free survival (PFS) and overall survival (OS) outcomes. Existing methods to synthesise evidence on PFS and OS either rely on the proportional hazards assumption or make parametric assumptions which may not capture the diverse survival curve shapes across studies and…
Descriptors: Nonparametric Statistics, Randomized Controlled Trials, Evidence, Networks
Willgerodt, Mayumi A.; Walsh, Elaine; Maloy, Caitlin – Journal of School Nursing, 2021
The Whole School, Whole Community, Whole Child (WSCC) model is a student-centered approach that focuses on a culture of health to support student success. Despite its use, the empirical evidence supporting the model is unclear. We conducted a scoping review to understand the research supporting WSCC as a model for student/school health. The search…
Descriptors: Integrated Services, Models, School Health Services, School Nurses