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Sam Bamkin – Ethnography and Education, 2024
The iterative process of ethnography not only constructs theory, but its methodology should embody theory. Developing a theoretical framework often demands adjustments in methodology, to leverage previous work and to avoid assumptions compounding through the magnification of blind spots. New theory in policy-engaged ethnography has emphasised the…
Descriptors: Foreign Countries, Teachers, Ethnography, Sampling
Antoniadou, Victoria – Research-publishing.net, 2017
Reflecting the inter-connected reality of today's world, contemporary education is striving to keep up with the exponentially rapid changes that individuals around the globe are facing. Innovative educational proposals carry labels such as connective learning (Downes, 2006), e-learning 2.0 (Downes, 2005), education 2.0 (Carr et al., 2008), or…
Descriptors: Data Collection, Data Analysis, Qualitative Research, Data Processing
Langer, Arnim; Meuleman, Bart; Oshodi, Abdul-Gafar Tobi; Schroyens, Maarten – Field Methods, 2017
This article tackles the question whether it is a viable strategy to conduct online surveys among university students in developing countries. By documenting the methodology of the National Service Scheme Survey conducted in Ghana, we set out to answer three questions: (1) How can a sample of university students be obtained? (2) How can students…
Descriptors: Developing Nations, Online Surveys, National Surveys, College Students
Stange, Mathew; Smyth, Jolene D.; Olson, Kristen – Field Methods, 2016
Although researchers can easily select probability samples of addresses using the U.S. Postal Service's Delivery Sequence File, randomly selecting respondents within households for surveys remains challenging. Researchers often place within-household selection instructions, such as the next or last birthday methods, in survey cover letters to…
Descriptors: Mail Surveys, Research Methodology, Family (Sociological Unit), Community Surveys
Joyce, Ted; Remler, Dahlia K.; Jaeger, David A.; Altindag, Onur; O'Connell, Stephen D.; Crockett, Sean – Journal of Policy Analysis and Management, 2017
Randomized experiments provide unbiased estimates of treatment effects, but are costly and time consuming. We demonstrate how a randomized experiment can be leveraged to measure selection bias by conducting a subsequent observational study that is identical in every way except that subjects choose their treatment--a quasi-doubly randomized…
Descriptors: Randomized Controlled Trials, Quasiexperimental Design, Selection Criteria, Selection Tools
Huang, Denise; Leon, Seth; La Torre, Deborah – International Journal for Research on Extended Education, 2017
Every since the enactment of the No Child Left Behind Act (2001) in the United States, achievement gains resulting from afterschool participation have been of particular interest. However, findings have been inconsistent. The challenge for researchers is partly due to the wide variation of program goals, difficulty in obtaining valid control…
Descriptors: After School Programs, Student Participation, Academic Achievement, Correlation
Ishak, Noriah Mohd; Abu Bakar, Abu Yazid – World Journal of Education, 2014
Due to statistical analysis, the issue of random sampling is pertinent to any quantitative study. Unlike quantitative study, the elimination of inferential statistical analysis, allows qualitative researchers to be more creative in dealing with sampling issue. Since results from qualitative study cannot be generalized to the bigger population,…
Descriptors: Case Studies, Statistical Analysis, Sampling, Qualitative Research
Gonzalez Canche, Manuel Sacramento – ProQuest LLC, 2012
For the last 25 years, research on the effects of community colleges on baccalaureate degree attainment has concluded that community colleges drastically reduce the likelihood of attaining a bachelor's degree compared to the effects of four-year institutions on this likelihood. The thesis of this dissertation is that community colleges have…
Descriptors: Community Colleges, Institutional Characteristics, Student Characteristics, At Risk Students