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Ioana-Elena Oana; Carsten Q. Schneider – Sociological Methods & Research, 2024
The robustness of qualitative comparative analysis (QCA) results features high on the agenda of methodologists and practitioners. This article aims at advancing this debate on several fronts. First, in line with the extant literature, we take a comprehensive view on robustness arguing that decisions on calibration, consistency, and frequency…
Descriptors: Robustness (Statistics), Qualitative Research, Comparative Analysis, Decision Making
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Liza Bondurant; Stephanie Somersille – Mathematics Teacher: Learning and Teaching PK-12, 2024
This article describes an activity and resource from The New York Times that can be used to help learners cultivate critical statistical literacy. Critical statistical literacy involves understanding, interpreting, and questioning statistical information to make informed decisions (Casey et al., 2023; Franklin et al., 2015; Weiland, 2017). It is a…
Descriptors: Statistics Education, Teaching Methods, Newspapers, Decision Making
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Gough, David – Review of Research in Education, 2021
For research evidence to inform decision making, an appraisal needs to be made of whether the claims are justified and whether they are useful to the decisions being made. This chapter provides a high level framework of core issues relevant to appraising the "fitness for purpose" of evidence claims. The framework includes (I) the…
Descriptors: Evaluative Thinking, Evidence, Research Methodology, Ethics
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Blair, Morgan; Zanidean, Alex – Strategic Enrollment Management Quarterly, 2020
Data interpretation can be difficult. Data visualization techniques from the manufacturing industry make interpretation easier. Control charts display trends in context, so it is clear when performance is truly changing and when it is not. Decision makers know when to act, when to maintain, and when to celebrate. This article discusses the use of…
Descriptors: Enrollment Management, Decision Making, Data Interpretation, Visualization
Elizabeth Talbott; Andres De Los Reyes; Devin M. Kearns; Jeannette Mancilla-Martinez; Mo Wang – Exceptional Children, 2023
Evidence-based assessment (EBA) requires that investigators employ scientific theories and research findings to guide decisions about what domains to measure, how and when to measure them, and how to make decisions and interpret results. To implement EBA, investigators need high-quality assessment tools along with evidence-based processes. We…
Descriptors: Evidence Based Practice, Evaluation Methods, Special Education, Educational Research
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Alexander Grushow – Journal of Chemical Education, 2022
A revised version of a traditional physical chemistry laboratory experiment has been developed to enhance student discussion in the laboratory and to improve students' connections between physical chemistry concepts and real molecular systems. In this experiment, students explore the keto-enol tautomerization of 2,4-pentanedione. However, unlike…
Descriptors: Chemistry, Science Experiments, Laboratory Experiments, Inquiry
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MacKay, Jon – Journal of Statistics and Data Science Education, 2022
Students need to know how to discern patterns and make decisions using visual information in our modern economy. However, there are few sources of real-world information available to instructors that give students access to visualizations to help develop their skills in interpreting complex situations using diverse data sources. This article…
Descriptors: Pandemics, COVID-19, Visual Aids, Data Analysis
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Lewis, Kendra M.; Ewers, Timothy; Bird, Marianne; Wilkins, Tamekia – Journal of Extension, 2019
A data party is an engaging way to involve stakeholders in program evaluation. We explain the use of a data party for engaging 4-H program stakeholders (e.g., staff and volunteers) in data interpretation and helping them understand, embrace, and use program evaluation information to make data-driven decisions about their programs. We present two…
Descriptors: Program Evaluation, Stakeholders, Data Interpretation, Data Use
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Bartholomew, Scott R.; McGraw, Tim; Fauber, Daphne; Charlesworth, Jon; Weitlauf, John – Technology and Engineering Teacher, 2020
Technological advances, artificial intelligence innovations, and widespread computing have all combined to necessitate a new generation of knowledge workers where data becomes a ubiquitous part of decision making (Sutton, 2006). Teaching today's students through the application of this "new" knowledge to long-established fields…
Descriptors: Sanitation, Water, Agriculture, High School Students
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Netolicky, Deborah M.; Barnes, Naomi – International Journal of Research & Method in Education, 2018
Qualitative education research is an inherently complex landscape, presenting the qualitative researcher with constant ethical and reasoned decision-making. Presented as a narrative dialogic, this paper traces and juxtaposes the method stories of two qualitative researchers who focused their work around education phenomena, but in different…
Descriptors: Qualitative Research, Educational Research, Decision Making, Educational Researchers
Gouëdard, Pierre – OECD Publishing, 2021
Across OECD countries, the increasing demand for evidence-based policy making has further led governments to design policies jointly with clear measurable objectives, and to define relevant indicators to monitor their achievement. This paper discusses the importance of such indicators in supporting the implementation of education policies.…
Descriptors: Educational Indicators, Program Implementation, Educational Policy, Policy Formation
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Schultheis, Elizabeth H.; Kjelvik, Melissa K. – American Biology Teacher, 2020
Authentic, "messy data" contain variability that comes from many sources, such as natural variation in nature, chance occurrences during research, and human error. It is this messiness that both deters potential users of authentic data and gives data the power to create unique learning opportunities that reveal the nature of science…
Descriptors: Data Analysis, Scientific Research, Science Instruction, Scientific Principles
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Jeyaraj, Anand – Journal of Information Systems Education, 2019
Responding to the industry need for professionals to employ data-driven decision-making, educational institutions offer courses in business analytics (BA). Since BA professionals require a unique set of skills different from those found in specific business disciplines, a pedagogical framework to impart such knowledge and skills was developed. The…
Descriptors: Decision Making, Data Analysis, Visualization, Data Interpretation
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Makela, Carole J. – Journal of Family and Consumer Sciences, 2016
"Big data" prompts a whole lexicon of terms--data flow; analytics; data mining; data science; smart you name it (cars, houses, cities, wearables, etc.); algorithms; learning analytics; predictive analytics; data aggregation; data dashboards; digital tracks; and big data brokers. New terms are being coined frequently. Are we paying…
Descriptors: Data Analysis, Information Utilization, Data Collection, Consumer Science
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Anderson, Lorin W. – Education Policy Analysis Archives, 2018
In this summary article, six recommendations for the design, implementation, and interpretation of educational evaluations are presented and discussed. These recommendations are based on common "threads" that run through most, if not all, of the papers included in this special issue. The recommendations concern (1) the need for awareness…
Descriptors: Educational Assessment, Evaluation Methods, Program Design, Program Implementation
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