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Katherine Bui; Keith R. Berry Jr. – Journal of Research Administration, 2025
Research administrators (RA) at institutions of higher education (IHE) provide critical support to faculty throughout the lifecycle of research, which include developing research, applying to funding opportunities, managing awards through closeout, and maintaining compliance. Fulfilling these tasks requires well-developed RA processes and clear…
Descriptors: COVID-19, Pandemics, Data Collection, Data Use
Maes, Bea; Nijs, Sara; Vandesande, Sien; Van keer, Ines; Arthur-Kelly, Michael; Dind, Juliane; Goldbart, Juliet; Petitpierre, Geneviève; Van der Putten, Annette – Journal of Applied Research in Intellectual Disabilities, 2021
Background: Within the context of the Special Interest Research Group (SIRG) on Persons with Profound Intellectual and Multiple Disabilities (PIMD), researchers often discuss the methodological problems and challenges they are confronted with. The aim of the current article was to give an overview of these challenges. Methods: The challenges are…
Descriptors: Severe Intellectual Disability, Multiple Disabilities, Research Methodology, Barriers
Chelsea McCracken; Ruby MacDougall – ITHAKA S+R, 2025
Research data services--support offerings which enable and improve data-intensive research--have garnered sustained attention from library research support service providers for nearly two decades. Libraries have played a leading role in developing research data services, and on most university campuses they provide the largest and most diverse…
Descriptors: Researchers, Data Analysis, Research Methodology, Universities
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
Preel-Dumas, Camille; Hendra, Richard; Denison, Dakota – MDRC, 2023
This brief explores data science methods that workforce programs can use to predict participant success. With access to vast amounts of data on their programs, workforce training providers can leverage their management information systems (MIS) to understand and improve their programs' outcomes. By predicting which participants are at greater risk…
Descriptors: Labor Force Development, Programs, Prediction, Success
Aline Duvoisin; Jan-Erik Refle; Claudine Burton-Jeangros; Liala Consoli; Julien Fakhoury; Yves Jackson – Field Methods, 2024
Conducting research among hard-to-reach populations is a difficult endeavor because some of their characteristics are known to be associated with survey nonresponse and panel attrition. In the case of the Parchemins study, which followed undocumented migrants over their process of regularization and during the first years of regularized life in…
Descriptors: Recruitment, Attrition (Research Studies), Surveys, Longitudinal Studies
Small, Mario L.; Cook, Jenna M. – Sociological Methods & Research, 2023
This article examines an important and thorny problem in interview research: How to assess whether what people say motivated their actions actually did so? We ask three questions: What specific challenges are at play? How have researchers addressed them? And how should those strategies be evaluated? We argue that such research faces at least five…
Descriptors: Interviews, Qualitative Research, Barriers, Deception
Xue Wang; Gaoxiang Luo – Society for Research on Educational Effectiveness, 2024
Background: Despite the usefulness of systematic reviews and meta-analyses, they are time-consuming and labor-intensive (Michelson & Reuter, 2019). The technological advancements in recent years have led to the development of tools aimed at streamlining the processes of systematic reviews and meta-analyses. Innovations such as Paperfetcher…
Descriptors: Meta Analysis, Artificial Intelligence, Computational Linguistics, Computer Software
Mags Crean; Barbara Moore; Dympna Devine; Jennifer Symonds; Seaneen Sloan; Gabriela Martínez Sainz – International Journal of Research & Method in Education, 2025
During the COVID19 crisis, school closure was a frequent feature of Government responses. "The Children's School Lives" (CSL) national cohort study of primary schooling in Ireland had to be adapted and transferred online as an interim response to the unprecedented impact that the pandemic had on the research environment. Adapting…
Descriptors: Qualitative Research, COVID-19, Pandemics, Cooperation
Borgström, Åsa – Journal of Intellectual Disabilities, 2023
Conducting qualitative research on young people with intellectual disability and the Internet poses methodological challenges as well as opportunities. Based on memos from a qualitative study, this article focuses on identified gaps related to the challenges of informed consent, access to Internet arenas and using stimulus materials.…
Descriptors: Intellectual Disability, Informed Consent, Internet, Researchers
Edanur Yazici; Ying Wang – International Journal of Social Research Methodology, 2024
Constant changes to COVID-19 restrictions have required adaptability from social scientists including responding to new challenges such as infiltration by bots. This research note presents unexpected encounters of bot infiltration and recruitment during survey data collection under pandemic conditions. The note draws from a household survey on a…
Descriptors: Surveys, Research Methodology, Barriers, COVID-19
Mojgan Rashtchi; SeyyedeFateme Ghazi Mir Saeed – Sage Research Methods Cases, 2023
The reason for conducting the present case study was the problems the researchers encountered during data collection for another research project (Primary Study) entitled "The effects of virtual versus traditional flipped classes on EFL learners' grammar knowledge, self-regulation, and autonomy." Two online questionnaires were…
Descriptors: Data Collection, Questionnaires, Barriers, Research Methodology
Charles Melvin Ess; Ylva Hård af Segerstad – New Perspectives on Learning and Instruction, 2019
We briefly review the emergence of internet research ethics (IRE) since 2000 across three stages, showing how the last, IRE 3.0, focuses on ethical challenges and issues evoked by Big Data. We explore specific examples of IRE 3.0 as occasioned by requirements for informed consent -- including Big Data analyses of a closed Facebook group -- as…
Descriptors: Ethics, Barriers, Internet, Research Methodology
Ruby MacDougall; Dylan Ruediger – ITHAKA S+R, 2024
Research data services--support offerings which enable and improve data-intensive research--have garnered sustained attention from library research support service providers for nearly two decades. Because of the critical role they play in supporting research on college and university campuses across the country, particularly at research intensive…
Descriptors: Foreign Countries, Research, Data, Library Services
Elizabeth A. D. Wacker; Shauna L. Rienks; Julie S. McCrae – Sage Research Methods Cases, 2018
Identifying effective literacy interventions for teachers of very young children is important, but it is not easy. In this case study, we share our experiences implementing a quasi-experimental evaluation of an early literacy program. We describe the design and context of the study and discuss three key issues that we encountered with data…
Descriptors: Literacy Education, Intervention, Program Effectiveness, Early Childhood Education

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