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Anthony S. DiStefano; Joshua S. Yang – Field Methods, 2024
Despite recent methodological advances in saturation, guidelines for its estimation in more complex research designs--such as ethnographic studies--have been lacking. We present an accessible, step-by-step approach to empirical assessment of data saturation, tested on a moderately sized ethnographic study with 109 combined direct observations and…
Descriptors: Sample Size, Ethnography, Research Methodology, Research Design
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Lindsay, Jim; Wan, Yinmei; Berg-Jacobson, Alexander; Walston, Jill; Redford, Jeremy – Regional Educational Laboratory Midwest, 2016
Every year the U.S. Department of Education reports for each state in the country the grade levels, subject areas, and geographic areas that have experienced teacher shortages (U.S. Department of Education, Office of Postsecondary Education, 2015). A teacher shortage occurs when the number of teachers available in a specific grade, subject matter…
Descriptors: Teacher Supply and Demand, Teacher Shortage, State Legislation, Surveys
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Smith, Marlene A.; Kellogg, Deborah L. – Decision Sciences Journal of Innovative Education, 2015
This article describes a predictive model that assesses whether a student will have greater perceived learning in group assignments or in individual work. The model produces correct classifications 87.5% of the time. The research is notable in that it is the first in the education literature to adopt a predictive modeling methodology using data…
Descriptors: Group Activities, Assignments, Cooperative Learning, Individual Activities
Barreca, Alan I.; Lindo, Jason M.; Waddell, Glen R. – National Bureau of Economic Research, 2011
This study uses Monte Carlo simulations to demonstrate that regression-discontinuity designs arrive at biased estimates when attributes related to outcomes predict heaping in the running variable. After showing that our usual diagnostics are poorly suited to identifying this type of problem, we provide alternatives. We also demonstrate how the…
Descriptors: Statistical Bias, Regression (Statistics), Research Design, Monte Carlo Methods