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Chan, Wendy; Oh, Jimin – Journal of Experimental Education, 2023
Many generalization studies in education are typically based on a sample of 30-70 schools while the inference population is at least twenty times larger. This small sample to population size ratio limits the precision of design-based estimators of the population average treatment effect. Prior work has shown the potential of small area estimation…
Descriptors: Generalization, Computation, Probability, Sample Size
Egamaria Alacam; Craig K. Enders; Han Du; Brian T. Keller – Grantee Submission, 2023
Composite scores are an exceptionally important psychometric tool for behavioral science research applications. A prototypical example occurs with self-report data, where researchers routinely use questionnaires with multiple items that tap into different features of a target construct. Item-level missing data are endemic to composite score…
Descriptors: Regression (Statistics), Scores, Psychometrics, Test Items
Ruberto, Thomas; Mead, Chris; Anbar, Ariel D.; Semken, Steven – Journal of Geoscience Education, 2023
Field learning is fundamental in geoscience, but cost, accessibility, and other constraints limit equal access to these experiences. As technological advances afford ever more immersive and student-centered virtual field experiences, they are likely to have a growing role across geoscience education. They also serve as an important tool for…
Descriptors: Comparative Analysis, Field Trips, Electronic Learning, In Person Learning
Kit Harris Clement – ProQuest LLC, 2023
Statistical association is a key facet of statistical literacy: claims based on relationships between variables or ideas rooted in data are found everywhere in media and discourse. A key development in introductory statistics curricula is the use of simulation-based inference, which has shown positive outcomes for students, especially in regards…
Descriptors: Statistics Education, Regression (Statistics), Teaching Methods, Introductory Courses
McCarthy, Chris; Lan, Jie; Li, Jieying – PRIMUS, 2019
We present noncompetitive adsorption as "particles in a box with one sticky wall." We start with a general model that can be modeled as a simple ordinary differential equation (ODE). To verify the ODE students run a computer simulation. The ODE's solution imperfectly fits the simulation's data. This leads to the diffusion partial…
Descriptors: Equations (Mathematics), Mathematical Models, Problem Solving, Computer Simulation
Marland, Eric; Bossé, Michael J.; Rhoads, Gregory – PRIMUS, 2018
Rounding is a necessary step in many mathematical processes. We are taught early in our education about significant figures and how to properly round a number. So when we are given a data set and asked to find a regression line, we are inclined to offer the line with rounded coefficients to reflect our model. However, the effects are not as…
Descriptors: Least Squares Statistics, Regression (Statistics), Computer Simulation, Equations (Mathematics)
Gordon, Sheldon P.; Gordon, Florence S. – International Journal for Technology in Mathematics Education, 2018
This article illustrates ways that dynamic software using some sophisticated techniques in Excel can be used to demonstrate fundamental ideas related to regression and correlation analysis to increase student understanding of the concepts and methods in elementary statistics courses and in courses at the college algebra/precalculus level that…
Descriptors: Visualization, Regression (Statistics), Correlation, Computer Software
Culbertson, Michael J. – Regional Educational Laboratory Central, 2016
States in the Regional Educational Laboratory (REL) Central region serve a largely rural population with many states enrolling fewer than 350,000 students. A common challenge identified among REL Central educators is identifying appropriate methods for analyzing data with small samples of students. In particular, members of the REL Central…
Descriptors: Student Development, Sample Size, Academic Achievement, Scores
Muelleman, Andrew W.; Glaser, Rainer E. – Journal of Chemical Education, 2018
Literacy requires reading comprehension, and fostering reading skills is an essential prerequisite to and a synergistic enabler of the development of writing skills. Reading comprehension in the chemical sciences not only consists of the understanding of text but also includes the reading and processing of data tables, schemes, and graphs. Thus,…
Descriptors: Chemistry, Science Instruction, Literacy, College Science
Huang, Hsiu-Mei; Liaw, Shu-Sheng; Lai, Chung-Min – Interactive Learning Environments, 2016
Advanced technologies have been widely applied in medical education, including human-patient simulators, immersive virtual reality Cave Automatic Virtual Environment systems, and video conferencing. Evaluating learner acceptance of such virtual reality (VR) learning environments is a critical issue for ensuring that such technologies are used to…
Descriptors: Educational Technology, Technology Uses in Education, Computer Simulation, Simulated Environment
Smith, Hayden; Michelsen, Niall – Journal of Political Science Education, 2017
Utilizing a web-based simulation Statecraft, we explore the relative influence of ideology (realism and idealism) on student behavior and learning. By placing students into ideologically cohesive groups, we are able to demonstrate the effect of their ideology on the goals they pursue and identify the constraints imposed on the system by the…
Descriptors: Political Science, Ideology, Computer Simulation, Foreign Policy
Stanley, T. D.; Doucouliagos, Hristos – Research Synthesis Methods, 2014
Publication selection bias is a serious challenge to the integrity of all empirical sciences. We derive meta-regression approximations to reduce this bias. Our approach employs Taylor polynomial approximations to the conditional mean of a truncated distribution. A quadratic approximation without a linear term, precision-effect estimate with…
Descriptors: Regression (Statistics), Bias, Algebra, Mathematical Formulas
Smith, Matthew J.; Fleming, Michael F.; Wright, Michael A.; Losh, Molly; Humm, Laura Boteler; Olsen, Dale; Bell, Morris D. – Journal of Autism and Developmental Disorders, 2015
Young adults with high-functioning autism spectrum disorder (ASD) have low employment rates and job interviewing presents a critical barrier to employment for them. Results from a prior randomized controlled efficacy trial suggested virtual reality job interview training (VR-JIT) improved interviewing skills among trainees with ASD, but not…
Descriptors: Young Adults, Autism, Employment, Employment Interviews
Treen, Emily; Atanasova, Christina; Pitt, Leyland; Johnson, Michael – Journal of Marketing Education, 2016
Marketing instructors using simulation games as a way of inducing some realism into a marketing course are faced with many dilemmas. Two important quandaries are the optimal size of groups and how much of the students' time should ideally be devoted to the game. Using evidence from a very large sample of teams playing a simulation game, the study…
Descriptors: Marketing, Business Administration Education, Educational Games, Computer Simulation
Taylor, Michael J.; Taylor, Dave; Vlaev, Ivo; Elkin, Sarah – British Journal of Educational Technology, 2017
Recent advances in communication technologies enable potential provision of remote education for patients using computer-generated environments known as virtual worlds. Previous research has revealed highly variable levels of patient receptiveness to using information technologies for healthcare-related purposes. This preliminary study involved…
Descriptors: Information Technology, Telecommunications, Medical Services, Patient Education