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Wendy Chan; Jimin Oh; Katherine J. Wilson – Journal of Research on Educational Effectiveness, 2025
Over the past decade, propensity score-based methods have made an important contribution to the improvement of generalizations from educational studies. However, an important limitation is that many studies are based on small sample sizes in which the study comprises 3-5% of the inference population. In response, one suggestion that has been made…
Descriptors: Educational Research, Research Problems, Sample Size, Research Methodology
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
Beth A. Perkins – ProQuest LLC, 2021
In educational contexts, students often self-select into specific interventions (e.g., courses, majors, extracurricular programming). When students self-select into an intervention, systematic group differences may impact the validity of inferences made regarding the effect of the intervention. Propensity score methods are commonly used to reduce…
Descriptors: Probability, Causal Models, Evaluation Methods, Control Groups
Guest, Greg; Namey, Emily; McKenna, Kevin – Field Methods, 2017
Few empirical studies exist to guide researchers in determining the number of focus groups necessary for a research study. The analyses described here provide foundational evidence to help researchers in this regard. We conducted a thematic analysis of 40 focus groups on health-seeking behaviors of African American men in Durham, North Carolina.…
Descriptors: Focus Groups, Sample Size, Evidence Based Practice, Thematic Approach
Steiner, Peter M.; Wong, Vivian – Society for Research on Educational Effectiveness, 2016
Despite recent emphasis on the use of randomized control trials (RCTs) for evaluating education interventions, in most areas of education research, observational methods remain the dominant approach for assessing program effects. Over the last three decades, the within-study comparison (WSC) design has emerged as a method for evaluating the…
Descriptors: Randomized Controlled Trials, Comparative Analysis, Research Design, Evaluation Methods
Watson, Jane; Chance, Beth – Australian Senior Mathematics Journal, 2012
Formal inference, which makes theoretical assumptions about distributions and applies hypothesis testing procedures with null and alternative hypotheses, is notoriously difficult for tertiary students to master. The debate about whether this content should appear in Years 11 and 12 of the "Australian Curriculum: Mathematics" has gone on…
Descriptors: Foreign Countries, Research Methodology, Sampling, Statistical Inference
Anderson, Richard B.; Doherty, Michael E.; Friedrich, Jeff C. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2008
In 4 studies, the authors examined the hypothesis that the structure of the informational environment makes small samples more informative than large ones for drawing inferences about population correlations. The specific purpose of the studies was to test predictions arising from the signal detection simulations of R. B. Anderson, M. E. Doherty,…
Descriptors: Simulation, Statistical Analysis, Inferences, Population Trends
Bartlett, James E., II; Bartlett, Michelle E.; Reio, Thomas G., Jr. – Delta Pi Epsilon Journal, 2008
This research examined the issue of nonresponse bias and how it was reported in nonexperimental quantitative research published in the "Delta Pi Epsilon Journal" between 1995 and 2004. Through content analysis, 85 articles consisting of 91 separate samples were examined. In 72.5% of the cases, possible nonresponse bias was not examined in the…
Descriptors: Content Analysis, Probability, Response Rates (Questionnaires), Business Education
Kano, Megumi; Franke, Todd; Afifi, Abdelmonem A.; Bourque, Linda B. – Educational Researcher, 2008
To ensure accurate interpretation of research findings, researchers should report details about their research design, data collection method, and response rates when presenting findings from survey research. A review of 100 peer-reviewed articles reporting the results of survey research on K-12 schools with principals as the designated…
Descriptors: Research Methodology, School Surveys, Mail Surveys, Case Studies
Ritter, Lois A., Ed.; Sue, Valerie M., Ed. – New Directions for Evaluation, 2007
This chapter provides an overview of sampling methods that are appropriate for conducting online surveys. The authors review some of the basic concepts relevant to online survey sampling, present some probability and nonprobability techniques for selecting a sample, and briefly discuss sample size determination and nonresponse bias. Although some…
Descriptors: Sampling, Probability, Evaluation Methods, Computer Assisted Testing
Brick, J. Michael; And Others – 1996
The National Household Education Survey (NHES) is a data collection system of the National Center for Education Statistics. The NHES is a telephone survey of the noninstitutionalized civilian population using households selected using random digit dialing methods. Approximately 60,000 households are screened for each administration, and people who…
Descriptors: Data Collection, National Surveys, Probability, Research Methodology
Neel, John H. – 1993
Induced probabilities have been largely ignored by educational researchers. Simply stated, if a new or random variable is defined in terms of a first random variable, then induced probability is the probability or density of the new random variable that can be found by summation or integration over the appropriate domains of the original random…
Descriptors: Educational Research, Elementary Secondary Education, Equations (Mathematics), Mathematical Models
Ingels, Steven J.; Quinn, Peggy – 1996
The National Education Longitudinal Studies Program (NELS) is a long-term effort that encompasses the educational experience of youth from three decades. This report is based on the National Education Longitudinal Study of 1988 (NELS:88), a component of the NELS series that began as a national probability sample of eighth grade schools and…
Descriptors: Data Analysis, Educational Experience, Elementary Secondary Education, Eligibility

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