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Soubhik Barari; Eric Newsom; Ji Eun Park; Susan M. Paddock – NORC at the University of Chicago, 2024
Prospective students and their families use college rankings to navigate their higher education options. Rising tuition and fees have made the college decision more fraught. Recently, the major college ranking providers have revised their methodologies to reflect costs and other considerations. These revisions raise important questions about the…
Descriptors: Construct Validity, Evaluation Methods, Educational Quality, Student Costs
Paulina Berríos; Estefanía Álvarez; Karen Gutiérrez; Antonia Santos – Association for Institutional Research, 2024
This article delves into the challenges of institutional data collection processes in higher education, particularly regarding diversity reporting. The study this article is based on focuses on enhancing inclusivity by introducing a nonbinary sex category into the institutional data of a distinguished Chilean public university. In the Chilean…
Descriptors: Gender Identity, LGBTQ People, Classification, Data Collection
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Kosei Fukuda – Teaching Statistics: An International Journal for Teachers, 2024
In statistics classes, the central limit theorem has been demonstrated using simulation-based illustrations. Known population distributions such as a uniform or exponential distribution are often used to consider the behavior of the sample mean in simulated samples. Unlike such simulations, a number of real-data-based simulations are here…
Descriptors: Foreign Countries, Business, Business Administration Education, Sample Size
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Shiyu Zhang; James Wagner – Sociological Methods & Research, 2024
Adaptive survey design refers to using targeted procedures to recruit different sampled cases. This technique strives to reduce bias and variance of survey estimates by trying to recruit a larger and more balanced set of respondents. However, it is not well understood how adaptive design can improve data and survey estimates beyond the…
Descriptors: Surveys, Research Design, Response Rates (Questionnaires), Demography
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
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Evans, Robert; Collins, Harry; Weinel, Martin; Lyttleton-Smith, Jennifer; O'Mahoney, Hannah; Wehrens, Rik – International Journal of Social Research Methodology, 2023
The Imitation Game is a new method and, as such, it is important to show that its results are plausible and replicable. We tested this by conducting Imitation Games on religion in a range of European countries, returning approximately 12 months later to repeat the research. The idea was that non-Christian members of strongly Christian countries…
Descriptors: Religion, Christianity, Religious Factors, Games
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Dart, Evan H.; Radley, Keith C. – Psychology in the Schools, 2023
Single-case design is a research methodology that entails repeated measurement to assess the influence of an independent variable on a dependent variable over time. Data collected in this manner are regularly analyzed using visual analysis of data displayed in a linear graph. Although there is agreement regarding critical elements of visual…
Descriptors: Research Design, Research Methodology, Data Collection, Data Analysis
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Lewis, Taylor; McMichael, Joseph – Field Methods, 2023
Expected yield rates are essential to a survey's data collection plan, as they inform requisite sample sizes to meet the survey's objectives. Given an overall expected yield rate for a self-administered mail survey, this short take describes a simple method for using the Census Planning Database to assign differential yield rates to lower-level…
Descriptors: Mail Surveys, Data Collection, Census Figures, Databases
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Haas, Georg-Christoph; Volkert, Marieke; Senghaas, Monika – Field Methods, 2023
Even small monetary incentives, e.g., a one-dollar bill in a postal invitation letter, can increase the response rate in a web survey. However, in the euro currency area, the smallest amount of monetary incentive for a postal invitation is a five-euro bill, which is costly. As such, we conducted a random experiment with prepaid stamp and postcard…
Descriptors: Online Surveys, Incentives, Response Rates (Questionnaires), Costs
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Aoife L. Gallagher; Rachel Murphy; Ciara Ni Eochaidh; Johanna Fitzgerald; Carol-Anne Murphy; James Law – Language, Speech, and Hearing Services in Schools, 2023
Purpose: The aim of this study was to map the use of implementation science frameworks, models, and theories in intervention research targeting learning needs in the classroom. Method: A scoping review was conducted. Electronic database and manual searches were conducted. Two reviewers independently completed screening, data extraction, and…
Descriptors: Program Implementation, Intervention, Educational Research, Speech Language Pathology
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Bell, Brent J.; Turner, Jeff; Andre, Elizabeth; Gerbers, Kellie; Jostad, Jeremy; Hobbs, Will; Collins, Katherine – Journal of Outdoor Recreation, Education, and Leadership, 2023
This research note argues the outdoor adventure profession needs census research studies. Although conceptually simple, a census is a laborious process needing methodological guidance. This paper provides suggestions for conducting a census. Four previous outdoor adventure census projects are referenced. These, along with the U.S. Census, are used…
Descriptors: Outdoor Education, Adventure Education, Educational Research, Census Figures
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Ibrahima Dina Diatta; André Berchtold – International Journal of Social Research Methodology, 2023
Using secondary data has many advantages, but there are also many limitations, including the lack of relevant information. This article draws on a previous study that used secondary data to investigate substance use in young, elite athletes. Three types of missing data appeared: missing data, lack of information about the data collection process,…
Descriptors: Data Analysis, Research Problems, Data Collection, Scientific Research
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Keser, Sinem Bozkurt; Aghalarova, Sevda – Education and Information Technologies, 2022
Education plays a major role in the development of the consciousness of the whole society. Education has been improved by analyzing educational data related to student academic performance. By using data mining techniques and algorithms on data from the educational environment, students' performances can be predicted. In this study, a novel Hybrid…
Descriptors: Grade Prediction, Academic Achievement, Data Analysis, Data Collection
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Mthuli, Syanda Alpheous; Ruffin, Fayth; Singh, Nikita – International Journal of Social Research Methodology, 2022
Qualitative research sample size determination has always been a contentious and confusing issue. Studies are often vague when explaining the processes and justifications that have been used to determine sample size and strategy. Some provide no mention of sampling at all, whilst others rely too heavily on the concept of saturation for determining…
Descriptors: Qualitative Research, Sample Size, Sampling, Research Problems
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Byers-Heinlein, Krista; Bergmann, Christina; Savalei, Victoria – Infant and Child Development, 2022
Infant research is often underpowered, undermining the robustness and replicability of our findings. Improving the reliability of infant studies offers a solution for increasing statistical power independent of sample size. Here, we discuss two senses of the term reliability in the context of infant research: reliable (large) effects and reliable…
Descriptors: Infants, Research, Reliability, Effect Size
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