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What Works Clearinghouse Rating
Gregory Chernov – Evaluation Review, 2025
Most existing solutions to the current replication crisis in science address only the factors stemming from specific poor research practices. We introduce a novel mechanism that leverages the experts' predictive abilities to analyze the root causes of replication failures. It is backed by the principle that the most accurate predictor is the most…
Descriptors: Replication (Evaluation), Prediction, Scientific Research, Failure
Caspar J. Van Lissa; Eli-Boaz Clapper; Rebecca Kuiper – Research Synthesis Methods, 2024
The product Bayes factor (PBF) synthesizes evidence for an informative hypothesis across heterogeneous replication studies. It can be used when fixed- or random effects meta-analysis fall short. For example, when effect sizes are incomparable and cannot be pooled, or when studies diverge significantly in the populations, study designs, and…
Descriptors: Hypothesis Testing, Evaluation Methods, Replication (Evaluation), Sample Size
Haynes-Brown, Tashane K. – Journal of Mixed Methods Research, 2023
The purpose of this article is to illustrate the dynamic process involved in developing and utilizing a theoretical model in a mixed methods study. Specifically, I illustrate how the theoretical model can serve as the starting point in framing the study, as a lens for guiding the data collection and analysis, and as the end point in explaining the…
Descriptors: Theories, Models, Mixed Methods Research, Teacher Attitudes
Bollig, Michael; Schnegg, Michael; Schwieger, Diego A. Menestrey – Field Methods, 2020
This article introduces ethnographic upscaling, an innovative procedure to explore and test hypotheses drawn from in-depth ethnographic findings in spatially continuous cases. The approach combines the strength of localized ethnographic descriptions with questionnaire-based regional surveys to study the distribution of ethnographic findings across…
Descriptors: Ethnography, Anthropology, Research Methodology, Hypothesis Testing
Wilson, Cristina G.; Qian, Feifei; Jerolmack, Douglas J.; Roberts, Sonia; Ham, Jonathan; Koditschek, Daniel; Shipley, Thomas F. – Cognitive Research: Principles and Implications, 2021
How do scientists generate and weight candidate queries for hypothesis testing, and how does learning from observations or experimental data impact query selection? Field sciences offer a compelling context to ask these questions because query selection and adaptation involves consideration of the spatiotemporal arrangement of data, and therefore…
Descriptors: Hypothesis Testing, Data Collection, Information Seeking, Decision Making
Kuang, Xiulin; Eysink, Tessa H. S.; de Jong, Ton – Journal of Computer Assisted Learning, 2020
Hypothesis generation is an important but difficult process for students. This study investigated the effects of providing students with support for hypothesis generation, with regard to the testability and complexity of the generated hypotheses, the quality of the subsequent inquiry learning processes and knowledge acquisition. Fifty-two…
Descriptors: Hypothesis Testing, Simulation, Inquiry, Active Learning
Shen, Zuchao; Curran, F. Chris; You, You; Splett, Joni Williams; Zhang, Huibin – Educational Evaluation and Policy Analysis, 2023
Programs that improve teaching effectiveness represent a core strategy to improve student educational outcomes and close student achievement gaps. This article compiles empirical values of intraclass correlations for designing effective and efficient experimental studies evaluating the effects of these programs. The Early Childhood Longitudinal…
Descriptors: Children, Longitudinal Studies, Surveys, Teacher Empowerment
Wuyts, Celine; Loosveldt, Geert – Field Methods, 2017
Previous research shows that interviewers to some extent fail to expend the effort that is needed to collect high-quality survey data. We extend the idea of interviewer satisficing to a related task, in which the interviewers themselves answer survey questions. We hypothesize that interviewers who self-administer the questionnaire in a careless…
Descriptors: Interviews, Questioning Techniques, Data Collection, Surveys
Huber, Stephan Gerhard; Helm, Christoph – Educational Assessment, Evaluation and Accountability, 2020
The crisis caused by the COVID-19 virus has far-reaching effects in the field of education, as schools were closed in March 2020 in many countries around the world. In this article, we present and discuss the School Barometer, a fast survey (in terms of reaction time, time to answer and dissemination time) that was conducted in Germany, Austria…
Descriptors: Disease Control, School Closing, Educational Policy, Surveys
Winne, Philip H.; Nesbit, John C.; Popowich, Fred – Technology, Knowledge and Learning, 2017
A bottleneck in gathering big data about learning is instrumentation designed to record data about processes students use to learn and information on which those processes operate. The software system nStudy fills this gap. nStudy is an extension to the Chrome web browser plus a server side database for logged trace data plus peripheral modules…
Descriptors: Data Collection, Research Methodology, Learning Processes, Computer Software
Priya, J. Johnsi; Lawrence, A. S. Arul – Online Submission, 2017
The present study aims to examine the relationship between social maturity and risk taking behaviour of the prospective teachers. Survey method of research has been used in this present study. Using the simple random sampling technique, 300 prospective teachers (141 male and 159 female) were selected from different colleges of education from…
Descriptors: Maturity (Individuals), Preservice Teachers, Risk, Correlation
Lin, Chun-Wen – Education, 2018
Some of the key issues in pedagogy are the way of students' peer learning, collaboration, and team work at school. Friendship quality is essential for academic achievement by peer learning and team work. In line with that, the aim of the present study is to examine the associations between variables that are positive perception, deliberative…
Descriptors: Undergraduate Students, Structural Equation Models, Friendship, Positive Attitudes
Wong, Wing-Kwong; Chao, Tsung-Kai; Chang, Ching-Lung; Chen, Kai-Ping – International Journal of Distance Education Technologies, 2019
There has been an ongoing debate of which physical labs or virtual labs are better. To resolve this issue, a remote lab provides an online lab that can do real experiments to obtain real data from a distant physical lab. Instead of relying on a remote lab, this article suggests that students collect experimental data locally with low-cost data…
Descriptors: Foreign Countries, Science Laboratories, Data Analysis, Scaffolding (Teaching Technique)
Khan, Alamgir; Khan, Salahuddin; Zia-Ul-Islam, Syed; Khan, Manzoor – Journal of Education and Practice, 2017
Basically the current study sought to assess the perception of students regarding the role of teacher communication skills in their academics success. Comprehensive questionnaire carrying information including social economic and demographic aspects of the study was designed by the researcher to achieve the set objectives. All those universities…
Descriptors: Foreign Countries, Physical Education Teachers, Communication Skills, College Faculty
Alonzo, Alicia C.; Elby, Andrew – Cognition and Instruction, 2019
As scientific models of student thinking, learning progressions (LPs) have been evaluated in terms of one important, but limited, criterion: fit to empirical data. We argue that LPs are not empirically adequate, largely because they rely on problematic assumptions of theory-like coherence in students' thinking. Through an empirical investigation…
Descriptors: Science Teachers, Physics, Models, Learning Processes

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