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Jens H. Fünderich; Lukas J. Beinhauer; Frank Renkewitz – Research Synthesis Methods, 2024
Multi-lab projects are large scale collaborations between participating data collection sites that gather empirical evidence and (usually) analyze that evidence using meta-analyses. They are a valuable form of scientific collaboration, produce outstanding data sets and are a great resource for third-party researchers. Their data may be reanalyzed…
Descriptors: Data Collection, Cooperation, Data Analysis, Data Use
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Jenay Robert; Kathe Pelletier; Betsy Tippens Reinitz – Strategic Enrollment Management Quarterly, 2024
In today's digital world, higher education institutions collect and use more data than ever. However, institutional silos create barriers for stakeholders who need data for daily operations and strategy. This article presents a vision of a unified, collaborative future for data governance and actionable steps stakeholders can take.
Descriptors: Data Analysis, Data Collection, Information Management, Governance
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Haesebrouck, Tim – Sociological Methods & Research, 2023
The field of qualitative comparative analysis (QCA) is witnessing a heated debate on which one of the QCA's main solution types should be at the center of substantive interpretation. This article argues that the different QCA solutions have complementary strengths. Therefore, researchers should interpret the three solution types in an integrated…
Descriptors: Qualitative Research, Comparative Analysis, Data Analysis, Data Collection
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Alexis Henshaw – Journal of Political Science Education, 2024
Some in our discipline have recently voiced the opinion that political science is a data science. What follows from this argument is that we as instructors are training the next generation of data scientists, especially professionals and researchers who will work with big data. This paper explores the implications for political science education,…
Descriptors: Political Science, Data Science, Data Analysis, Role of Education
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Liu, Yi; Xu, TianWei; Xiao, Mengjin – International Journal of Information and Communication Technology Education, 2023
In order to better grasp the needs of library users and provide them with more accurate knowledge services, combining the characteristics of university libraries, this article applies library small data to personalized recommendation and proposes a small data fusion algorithm model for library personalized recommendation. This model combines the…
Descriptors: Research Libraries, Data Collection, Data Analysis, Tables (Data)
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Greg R. Johnson; Melanie D. Janzen – Critical Education, 2023
In 2009, John Hattie's book Visible Learning: A Synthesis of over 800 Meta-Analyses Relating to Achievement brought big data to education. In the decade and a half since Visible Learning was originally published it has been aggressively marketed and has now grown into a large suite of branded books, tools, and products. Visible Learning continues…
Descriptors: Literary Criticism, Meta Analysis, Data Use, Data Analysis
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Spinuzzi, Clay – Journal of Workplace Learning, 2023
Purpose: This paper aims to consider ways to visually model data generated by qualitative case studies, pointing out a need for visualizations that depict both synchronic relations across representations and how those relations change diachronically. To develop an appropriate modeling approach, the paper critically examines Max Boisot's I-Space…
Descriptors: Visual Aids, Data, Qualitative Research, Case Studies
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Braun, Henry – International Journal of Educational Methodology, 2021
This article introduces the concept of the carrying capacity of data (CCD), defined as an integrated, evaluative judgment of the credibility of specific data-based inferences, informed by quantitative and qualitative analyses, leavened by experience. The sequential process of evaluating the CCD is represented schematically by a framework that can…
Descriptors: Data Use, Social Sciences, Data Analysis, Data Interpretation
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Mathilde Léon; Shoba S. Meera; Anne-Caroline Fiévet; Alejandrina Cristia – Research Ethics, 2024
The last decade has seen a rise in big data approaches, including in the humanities, whereby large quantities of data are collected and analysed. In this paper, we discuss long-form audio recordings that result from individuals wearing a recording device for many hours. Linguists, psychologists and anthropologists can use them, for example, to…
Descriptors: Foreign Countries, Developing Nations, Data Collection, Audio Equipment
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Hwang, Jackelyn; Dahir, Nima; Sarukkai, Mayuka; Wright, Gabby – Sociological Methods & Research, 2023
Visual data have dramatically increased in quantity in the digital age, presenting new opportunities for social science research. However, the extensive time and labor costs to process and analyze these data with existing approaches limit their use. Computer vision methods hold promise but often require large and nonexistent training data to…
Descriptors: Data Analysis, Visual Aids, Sanitation, Municipalities
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Robert M. Johnstone – Educational Considerations, 2025
This article explores utilizing a post-graduation success lens to help community college leaders frame the challenges of achieving equitable improvement for their students. Specifically, it posits that providing and exploring customized labor market data presented in an accessible format can help institutional leaders provide a "true…
Descriptors: Community College Students, College Graduates, Outcomes of Education, Success
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Wei Liu – International Journal of Research & Method in Education, 2024
Underlying thematic analysis are a few fundamental human cognitive processes, such as categorizing, prototyping and metaphorical mapping. By unpacking these basic processes of human cognition, this paper hopes to provide a cognitive basis for thematic analysis as a foundational method in data analysis for qualitative research. In particular, it…
Descriptors: Qualitative Research, Cognitive Processes, Classification, Data Analysis
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Kearney, Christopher A.; Childs, Joshua – Improving Schools, 2023
School attendance and absenteeism are critical targets of educational policies and practices that often depend heavily on aggregated attendance/absenteeism data. School attendance/absenteeism data in aggregated form, in addition to having suspect quality and utility, minimizes individual student variation, distorts detailed and multilevel…
Descriptors: Data Analysis, Attendance, Educational Policy, Causal Models
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Knox, Jeremy – Learning, Media and Technology, 2023
This paper examines ways in which the ethics of data-driven technologies might be (re)politicised, particularly where educational institutions are involved. The recent proliferation of principles, guidelines, and frameworks for ethical 'AI' (artificial intelligence) have emerged from a plethora of organisations in recent years, and seem poised to…
Descriptors: Ethics, Artificial Intelligence, Social Justice, Governance
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Matthew Goldberg – Journal of Access Services, 2024
For the last decade or more, circulation numbers of physical materials have declined in academic libraries across the United States. In the spring of 2020, the COVID-19 pandemic drastically altered society and daily life, not to mention library functions. In particular, fears of contagion via physical surfaces and transmission by contact led many…
Descriptors: COVID-19, Pandemics, Academic Libraries, Library Services
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