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Mireia Bolíbar; Julia Martínez-Ariño; Maria Schiller – Field Methods, 2025
We propose a new method for analyzing and visualizing information on a large collection of personal networks to uncover the socio-centric structure of relationships among aggregated actors that we clustered into categories. The network of categories identifies the links between groups of sampled ego actors sharing a given attribute (e.g.,…
Descriptors: Measurement Techniques, Data Analysis, Data Collection, Networks
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Beth Chance; Andrew Kerr; Jett Palmer – Journal of Statistics and Data Science Education, 2024
While many instructors are aware of the "Literary Digest" 1936 poll as an example of biased sampling methods, this article details potential further explorations for the "Digest's" 1924-1936 quadrennial U.S. presidential election polls. Potential activities range from lessons in data acquisition, cleaning, and validation, to…
Descriptors: Publications, Public Opinion, Surveys, Bias
Office of Inspector General, US Department of Education, 2025
Section 487(a)(17) of the Higher Education Act of 1965, as amended (HEA), requires postsecondary schools participating in Title IV programs to annually report data, including data relevant to students' cost of attendance and financial aid and the schools' graduation rates, to the U.S. Department of Education's (Department) Integrated Postsecondary…
Descriptors: Educational Legislation, Federal Legislation, Higher Education, Compliance (Legal)
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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
Fitzallen, Noleine; Watson, Jane – Mathematics Education Research Group of Australasia, 2023
This paper reports on students' experiences of describing and representing variation in hypothetical data. Fifty-six students (8-9 years-old) experienced collecting and working with quantitative data for two years as part of a STEM education project. The task described here was an end-of-year survey question, with three parts about a hypothetical…
Descriptors: Elementary School Students, STEM Education, Foreign Countries, Data Analysis
E. Nielsen; M. Pelczar – Institute of Museum and Library Services, 2024
This research brief describes recent methodological initiatives with the Public Libraries Survey. It describes how starting with the 2022 data, Institute of Museum and Library Services (IMLS) updated geographic identifiers to better align Census Bureau geography types with the library's legal service area, with the goal of enabling data users to…
Descriptors: Public Libraries, Special Libraries, Museums, Library Role
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Stephen L. Morgan; Jiwon Lee – Sociological Methods & Research, 2024
The linear dependence of age, period, and birth cohort is a challenge for the analysis of social change. With either repeated cross-sectional data or conventional panel data, raw change cannot be decomposed into over-time differences that are attributable to the effects of common experiences of alternative birth cohorts, features of the periods…
Descriptors: Surveys, Cohort Analysis, Data Interpretation, Observation
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Claudia Schmiedeberg; Jette Schröder – Field Methods, 2024
Although it has long been acknowledged that interviewers play a crucial role in the survey data collection process, there is little research concerning interviewer effects on how respondents perceive the interview. We investigate whether interviewer effects exist regarding how much respondents report having enjoyed the interview and whether these…
Descriptors: Interviews, Data Collection, Surveys, Attitudes
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Quinn, Anthony; Denney, David; Hardwick, Nick; Jalil, Rahul; Meek, Rosie – International Journal of Social Research Methodology, 2022
The benefits of government administrative data are well-established, but research has not examined processes by which these data can be identified, organised and governed in line with ethical considerations. This is an important undertaking given the potential benefits of robust administrative data, especially at a time when the collection of…
Descriptors: Institutionalized Persons, Data Collection, Experience, Foreign Countries
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Rachel Elizabeth Fish; Kenneth Shores; João M. Souto Maior – Exceptional Children, 2026
This essay provides a two-pronged critical assessment of a subset of the literature on racial disproportionality in special education: that which aims to estimate racial disparities among otherwise similar children. This body of research has shown that Black students are less likely than "comparable" White students to receive special…
Descriptors: Disproportionate Representation, Race, Special Education, African American Students
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Frischemeier, Daniel; Schnell, Susanne – Mathematics Education Research Journal, 2023
As data are 'numbers with context' (Cobb & Moore, 1997), contextual knowledge plays a prominent role in dealing with statistics. While insights about a specific context can further the depth of interpreting and evaluating outcomes of data analysis, research shows how it can also hinder relying on data especially if results differ from…
Descriptors: Elementary School Students, Context Effect, Data Analysis, Case Studies
Luvon Hudson; Tawheedah Abdullah; Max Altman – Equity Assistance Center-South, 2025
In the complex and dynamic environment of schools, the greatest asset is the collective wisdom of educators. The insights, experiences, and perspectives of teachers and staff are the most valuable data for driving meaningful improvement and fostering a positive environment where both students and adults can thrive. To lead effectively, one must…
Descriptors: Feedback (Response), Educational Improvement, Data Collection, Educational Environment
Heslop, Jo; Tamez, Lucia Quintero; Parkes, Jenny – Institute of Education - London, 2021
While violence against children (VAC) has been a long-established global concern, more recently attention has been drawn to how violence occurs in and around schools (VACS) and the role of education in preventing and responding to violence. Whilst awareness about VACS is growing, more robust data are needed to inform policy and practice. Concerns…
Descriptors: Violence, Children, School Violence, Bullying
Washick, Bonnie; Ridings, Aaron; Juste, Tessa – Gay, Lesbian and Straight Education Network (GLSEN), 2022
Collecting data on lesbian, gay, bisexual, transgender, queer-plus (LGBTQ+) issues and the experiences of LGBTQ+ young people is essential both for enforcing civil rights protections and advancing racial, gender, and disability justice outcomes in K-12 education systems across the country. The absence of this data: (1) Is a barrier to full…
Descriptors: Elementary Secondary Education, Students, Kindergarten, Young Children
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Jan Kalenda; Ellen Boeren – International Journal of Lifelong Education, 2025
International organisations have measured adult learning participation since the 1990s, using surveys like the Adult Education Survey (AES) and the Programme for the International Assessment of Adult Competencies (PIAAC). These surveys employ a 'triadic' classification of learning activities -- formal (FAE), non-formal (NFE) and informal learning…
Descriptors: Classification, Adult Education, Adult Students, Participation
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