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Yuan Fang; Lijuan Wang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on DSEM, especially on widely applied DSEM such as the two-level vector autoregressive (VAR) cross-lagged models, however, is understudied. To fill the…
Descriptors: Structural Equation Models, Bayesian Statistics, Monte Carlo Methods, Longitudinal Studies
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
Jamelia Harris – Field Methods, 2024
Not knowing the population size is a common problem in data-limited contexts. Drawing on work in Sierra Leone, this short take outlines a four-step solution to this problem: (1) estimate the population size using expert interviews; (2) verify estimates using interviews with participants sampled; (3) triangulate using secondary data; and (4)…
Descriptors: Foreign Countries, Sample Size, Surveys, Computation
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
Karly B. Ball; Rachel Elizabeth Traxler – International Journal of Research & Method in Education, 2024
As Twitter's (or X's) influence permeates aspects of education, researchers must consider how to ethically and effectively leverage the unique types of data that this social media platform offers. This paper provides recommended methodological practice considerations for working with qualitative Twitter data toward the advancement of education…
Descriptors: Educational Research, Research Methodology, Social Media, Ethics
Jelena Veletic; Ana María Mejía-Rodríguez; Rolf Vegar Olsen – Review of Education, 2024
The Teaching and Learning International Survey (TALIS) collects data from representative samples of teachers and principals across the world about their practices and work conditions, school and classroom contexts, and attitudes, motivation, and satisfaction with their profession and jobs. Given the growth of participating countries, the number of…
Descriptors: Administrator Surveys, Teacher Surveys, Educational Trends, Futures (of Society)
Chae-Young Kim – International Journal of Research & Method in Education, 2024
Research involving young people is a challenging process that requires managing relationships with diverse individuals and groups, including the young participants and their various gatekeepers. While it is normally assumed that the researcher is in overall control of their research, by using a Foucauldian conception of 'power as effects' that…
Descriptors: Power Structure, Data Collection, Secondary School Students, Foreign Countries
Soubhik Barari; Eric Newsom; Ji Eun Park; Susan M. Paddock – NORC at the University of Chicago, 2024
Prospective students and their families use college rankings to navigate their higher education options. Rising tuition and fees have made the college decision more fraught. Recently, the major college ranking providers have revised their methodologies to reflect costs and other considerations. These revisions raise important questions about the…
Descriptors: Construct Validity, Evaluation Methods, Educational Quality, Student Costs
Sarah Hensley; Janet Fox; Missy Cummins; Meggan Franks; Marianne Bird; Cindy Wells; JoLynn Miller – Journal of Extension, 2024
Cooperative Extension professionals utilize proven qualitative techniques to collect and analyze information to make data-driven decisions that guide program direction and determine impact. While the process may not always look the same, it is indeed essential to ensure findings are credible and reflective of the data. A codebook is a valuable…
Descriptors: Youth Clubs, Nonprofit Organizations, Extension Education, Data Use
Ratna Zuarni Ramli; Wan Zakiyatussariroh Wan Husin; Ahmed M. S. Elaklouk; Noraidah Sahari Ashaari – Interactive Learning Environments, 2024
Emerging technologies such as augmented reality are impacting the field of education, it can be seen in the attention given to technology, specifically augmented reality. Systematic reviews on research related to learning through augmented reality aim to find gaps of augmented reality in learning. However, there is a limited number of systematic…
Descriptors: Computer Simulation, Usability, Research Reports, Rating Scales
Alexandra M. Pierce; Melissa A. Collier-Meek; Thea R. Bucherbeam; Lisa M. H. Sanetti – Communique, 2024
Students cannot experience the full potential benefits of an intervention unless they are receiving the intervention. This is the second installment in a three-part series on intervention fidelity designed to highlight the importance of ensuring classroom supports are implemented as intended. This article provides guidance related to measuring and…
Descriptors: Data Use, Decision Making, Intervention, Fidelity
Paulina Berríos; Estefanía Álvarez; Karen Gutiérrez; Antonia Santos – Association for Institutional Research, 2024
This article delves into the challenges of institutional data collection processes in higher education, particularly regarding diversity reporting. The study this article is based on focuses on enhancing inclusivity by introducing a nonbinary sex category into the institutional data of a distinguished Chilean public university. In the Chilean…
Descriptors: Gender Identity, LGBTQ People, Classification, Data Collection
Mark Allen Pelham – ProQuest LLC, 2024
This dissertation intends to inform self-assessment and data collection practices within Rutgers University and act upon the encouragement of university leadership to advance the potential of the public service mission. These goals are accomplished by exploring relevant questions to inform the practices of institutional research (IR) and…
Descriptors: Universities, College Administration, Institutional Mission, Public Service
R. Forrest Stanley Jr. – ProQuest LLC, 2024
In 2018, the United States Congress passed the "Strengthening of Career and Technical Education for the 21st Century Act." This legislation included the requirement to conduct a comprehensive local needs assessment, which must include input from community stakeholders. This project designed and evaluated a three-step process that…
Descriptors: Rural Schools, School Districts, Educational Legislation, Federal Legislation
Australian Government Tertiary Education Quality and Standards Agency, 2024
The Australian Government Tertiary Education Quality and Standards Agency's (TEQSA's) guidance notes are concise documents designed to provide high-level, principles-based guidance on interpretation and application of specific standards of the Higher Education Standards Framework (Threshold Standards) 2021. They also draw attention to other…
Descriptors: Foreign Countries, Instructional Improvement, Quality Assurance, Data Collection