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Paiva Barbosa, Victor; Bastos Silveira, Bruna; Amorim dos Santos, Juliana; Monteiro, Mylene Martins; Coletta, Ricardo D.; De Luca Canto, Graziela; Stefani, Cristine Miron; Guerra, Eliete Neves Silva – Research Synthesis Methods, 2023
Systematic reviews (SRs) of preclinical studies are marked with poor methodological quality. In vitro studies lack assessment tools to improve the quality of preclinical research. This methodological study aimed to identify, collect, and analyze SRs based on cell culture studies to highlight the current appraisal tools utilized to support the…
Descriptors: Cytology, Research, Research Methodology, Correlation
Jovan Groen; Carolyn Hoessler; Carolyn Ives; Veronica Bamber; Corinne Laverty; Klodiana Kolomitro – To Improve the Academy, 2023
Across higher education, educational developers and their supporting campus communities are being called upon to scale up evidence-informed practices, to enhance student experiences, and to document the changes. This article builds on the work of scholars who have taken up this evaluative challenge, by examining varied aspects of the evidencing…
Descriptors: Educational Development, Educational Change, Higher Education, Evidence
Mary Francis; Mejai Bola Mike Avoseh; Karen Card; Lisa Newland; Kevin Streff – Journal of Learning Analytics, 2023
This single-site case study will seek to answer the following question: how is the concept of privacy addressed in relation to a student success information system within a small, public institution of higher education? Three themes were found within the inductive coding process, which used interviews, documentation, and videos as data resources.…
Descriptors: Privacy, Online Systems, Small Colleges, Public Colleges
Hassna, Ghazwan – Perspectives: Policy and Practice in Higher Education, 2023
Given their potential, "Big Data and Analytics" can help institutions of higher education to thoroughly examine newly emerging challenges, explore and identify new ways to address them, and predict future outcomes for growth. Considering how new "Big Data and Analytics" are, existing knowledge about the potential value to…
Descriptors: Higher Education, Models, Marketing, Academic Advising
Man Chen; James E. Pustejovksy; David A. Klingbeil; Ethan R. Van Norman – Grantee Submission, 2023
Single-case designs (SCDs) are a class of research methods for evaluating the effects of academic and behavioral interventions in educational and clinical settings. Although visual analysis is typically the first and main method for primary analysis of data from SCDs, quantitative methods are useful for synthesizing results and drawing systematic…
Descriptors: Effect Size, Meta Analysis, Intervention, Data Collection
Nilam Ram; Lisa Gatzke-Kopp – Review of Research in Education, 2023
We note two possibilities for how our science might capitalize on advances in computing that harness and weave "big data" into the rich tapestry of how human development unfolds. First, we propose that the classic theoretical models that have guided developmental research since the 1970s and the hierarchical analytical models used to…
Descriptors: Networks, Models, Educational Theories, Educational Research
Sarah Wallace; Mark Llewellyn – International Journal of Social Research Methodology, 2025
The use of social media platforms as a means of data collection for researchers is increasing. With the number of active users of Facebook across the globe exceeding two billion, the platform offers a means to reach and hear from diverse populations and gather information-rich data. Despite an increase of researchers utilising Facebook and…
Descriptors: Social Media, Research Methodology, Evaluation, Computer Mediated Communication
Seth Elkin-Frankston; James McIntyre; Tad T. Brunyé; Aaron L. Gardony; Clifford L. Hancock; Meghan P. O'Donovan; Victoria G. Bode; Eric L. Miller – Cognitive Research: Principles and Implications, 2025
Existing toolkits for analyzing movement dynamics in animal ecology primarily focus on individual or group behavior in habitats without predefined boundaries, while methods for studying human activity often cater to bounded environments, such as team sports played on defined fields. This leaves a gap in tools for modeling and analyzing human group…
Descriptors: Group Dynamics, Military Personnel, Measures (Individuals), Computer Software
Mark W. Isken – INFORMS Transactions on Education, 2025
A staple of many spreadsheet-based management science courses is the use of Excel for activities such as model building, sensitivity analysis, goal seeking, and Monte-Carlo simulation. What might those things look like if carried out using Python? We describe a teaching module in which Python is used to do typical Excel-based modeling and…
Descriptors: Spreadsheets, Models, Programming Languages, Monte Carlo Methods
Khemika K. Sudnawa; Wendy K. Chung – American Journal on Intellectual and Developmental Disabilities, 2024
Autism is heterogeneous at many levels, including clinical symptoms and etiology. A key strategy in studying heterogeneous conditions is having large enough sample sizes to stratify into smaller groups that are more homogeneous. SPARK and Simons Searchlight are large and growing research cohorts of individuals with autism in the United States and…
Descriptors: Autism Spectrum Disorders, Research, Data Collection, Genetics
J. Schillings; R. Bennett; D. C. Rose – Journal of Agricultural Education and Extension, 2024
Purpose: End-user participation is often encouraged to promote the uptake of Digital Livestock Technologies (DLTs). However, managing participation during DLT development can be challenging. We explore how participation decisions can impact end-users' engagement and attitudes towards the process, before suggesting strategies for improved…
Descriptors: Agricultural Occupations, Animals, Animal Husbandry, Agricultural Production
Siobhan Reilley – Impacting Education: Journal on Transforming Professional Practice, 2024
The purpose of this essay is to discuss the impact of the EdD experience on one teacher's understanding of data and research. From a first-person narrative, the author shares how learning to collect and analyze qualitative data has the potential to change the way teachers can engage with "data-driven decision making" in a high school…
Descriptors: Data Use, Data Collection, Data Analysis, Teacher Leadership
Rebecca Whittle; Joie Ensor; Miriam Hattle; Paula Dhiman; Gary S. Collins; Richard D. Riley – Research Synthesis Methods, 2024
Collecting data for an individual participant data meta-analysis (IPDMA) project can be time consuming and resource intensive and could still have insufficient power to answer the question of interest. Therefore, researchers should consider the power of their planned IPDMA before collecting IPD. Here we propose a method to estimate the power of a…
Descriptors: Data, Individual Characteristics, Participant Characteristics, Meta Analysis
Stephen Gorard – Review of Education, 2024
This paper describes, and lays out an argument for, the use of a procedure to help groups of reviewers to judge the quality of prior research reports. It argues why such a procedure is needed, and how other existing approaches are only relevant to some kinds of research, meaning that a review or synthesis cannot successfully combine quality…
Descriptors: Credibility, Research Reports, Evaluation Methods, Research Design
Collin Shepley – Journal of Autism and Developmental Disorders, 2024
Program evaluation is an essential practice for providers of behavior analytic services, as it helps providers understand the extent to which they are achieving their intended mission to the community they serve. A proposed method for conducting such evaluations, is through the use of a consecutive case series design, for which cases are…
Descriptors: Program Evaluation, Data Collection, Data Analysis, Evaluation Methods