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Showing 1 to 15 of 16 results Save | Export
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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
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Benz, Gregor; Buhlinger, Carsten; Ludwig, Tobias – Physics Education, 2022
With the availability of educational digital data acquisition systems, it has also become possible in physics education to generate 'big' data sets by (a) measuring multiple variables simultaneously, (b) increasing the sample rate, (c) extending the measurement duration, or (d) choosing a combination among these three options. In the context of…
Descriptors: Physics, Science Instruction, Learning Analytics, Data Analysis
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Braun, Virginia; Clarke, Victoria; Boulton, Elicia; Davey, Louise; McEvoy, Charlotte – International Journal of Social Research Methodology, 2021
Fully "qualitative" surveys, which prioritise qualitative research values, and harness the rich potential of qualitative data, have much to offer qualitative researchers, especially given online delivery options. Yet the method remains underutilised, and there is little in the way of methodological discussion of qualitative surveys.…
Descriptors: Online Surveys, Qualitative Research, Social Science Research, Disclosure
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Zhao, Xin; Coxe, Stefany; Sibley, Margaret H.; Zulauf-McCurdy, Courtney; Pettit, Jeremy W. – Prevention Science, 2023
There has been increasing interest in applying integrative data analysis (IDA) to analyze data across multiple studies to increase sample size and statistical power. Measures of a construct are frequently not consistent across studies. This article provides a tutorial on the complex decisions that occur when conducting harmonization of measures…
Descriptors: Data Analysis, Sample Size, Decision Making, Test Items
Zhang, Zhiyong; Liu, Haiyan – Grantee Submission, 2018
Latent change score models (LCSMs) proposed by McArdle (McArdle, 2000, 2009; McArdle & Nesselroade, 1994) offer a powerful tool for longitudinal data analysis. They are becoming increasingly popular in social and behavioral research (e.g., Gerstorf et al., 2007; Ghisletta & Lindenberger, 2005; King et al., 2006; Raz et al., 2008). Although…
Descriptors: Sample Size, Monte Carlo Methods, Data Analysis, Models
Tennessee Board of Regents - The College System of Tennessee, 2021
This is the technical appendix for the report "Gaining Momentum: Refining Corequisite Learning Support to Boost Student Success in the First Year and Beyond" which seeks to develop a body of actionable information about how to refine learning support, close equity gaps, and promote strong momentum toward success for community college…
Descriptors: College Freshmen, Academic Achievement, Achievement Gap, Equal Education
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Higginbottom, Gina M. A.; Pillay, Jennifer J.; Boadu, Nana Y. – Qualitative Report, 2013
Focused ethnographies can have meaningful and useful application in primary care, community, or hospital healthcare practice, and are often used to determine ways to improve care and care processes. They can be pragmatic and efficient ways to capture data on a specific topic of importance to individual clinicians or clinical specialties. While…
Descriptors: Ethnography, Qualitative Research, Research Methodology, Health Services
Maryellen Brunson McClain; Tiffany L. Otero; Jillian Haut; Rochelle B. Schatz – Sage Research Methods Cases, 2014
With growing popularity of single subject design as a method to evaluate the efficacy of interventions, it is important to ensure that the analyses of these methods are rigorous and reliable. The purpose of this case study is to discuss the measures used to evaluate the efficacy of interventions in single subject design studies in the fields of…
Descriptors: Educational Research, Effect Size, Data Analysis, Data Interpretation
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Shrout, Patrick E. – Multivariate Behavioral Research, 2011
Maxwell, Cole, and Mitchell (2011) extended the work of Maxwell and Cole (2007), which raised important questions about whether mediation analyses based on cross-sectional data can shed light on longitudinal mediation process. The latest article considers longitudinal processes that can only be partially explained by an intervening variable, and…
Descriptors: Causal Models, Psychopathology, Peer Mediation, Longitudinal Studies
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Forbes, Sean A.; Ross, Margaret E.; Chesser, Svetlana S. – Educational Research and Evaluation, 2011
In as much as educational research is concerned with individual student assessment and development, it is surprising that single-subject designs are not more readily utilized in classroom-based action research. The purpose of this article is to emphasize benefits of single-subject research in the K-12 setting, given that teachers teach and assess…
Descriptors: Research Design, Educational Research, Elementary Secondary Education, Action Research
Herman, Joan L.; Yamashiro, Kyo; Lefkowitz, Sloane; Trusela, Lee Ann – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2008
This study examined the relationship between data use and achievement at 13 urban Title I schools. Using multiple methods, including test scores, district surveys, school transformation plans, and four case study site visits, the researchers found wide variation in the use of data to inform instruction and planning. In some cases, schools were …
Descriptors: Academic Achievement, Program Effectiveness, Scores, Data Analysis
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Cheung, Mike W.-L.; Au, Kevin – Structural Equation Modeling: A Multidisciplinary Journal, 2005
Multilevel structural equation modeling (MSEM) has been proposed as an extension to structural equation modeling for analyzing data with nested structure. We have begun to see a few applications in cross-cultural research in which MSEM fits well as the statistical model. However, given that cross-cultural studies can only afford collecting data…
Descriptors: Sample Size, Structural Equation Models, Cross Cultural Studies, Research Methodology
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Benfield, Jacob A.; Szlemko, William J. – Journal of Research Practice, 2006
The use of Internet to aid research practice has become more popular in the recent years. In fact, some believe that Internet surveying and electronic data collection may revolutionize many disciplines by allowing for easier data collection, larger samples, and therefore more representative data. However, others are skeptical of its usability as…
Descriptors: Research Methodology, Sampling, Internet, Ethics
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Visher, Mary G.; Wathington, Heather; Richburg-Hayes, Lashawn; Schneider, Emily – National Center for Postsecondary Research, 2008
Learning communities are a popular strategy that community colleges nationwide have embraced in support of developmental students. In a learning community, a cohort of students takes two or more courses linked by integrated themes and assignments that are developed through ongoing faculty collaboration. While the number of learning community…
Descriptors: Research Design, Community Colleges, Community Programs, College Programs
Allen, Nancy L.; Carlson, James E.; Zelenak, Christine A. – Education Statistics Quarterly, 1999
Provides details on the instrument development, sample design, data collection, and data analysis procedures of the 1996 National Assessment of Educational Progress (NAEP) long-term trend and main assessments for the United States. (Author/SLD)
Descriptors: Academic Achievement, Data Analysis, Data Collection, Educational Trends
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