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Edgar I. Sanchez – ACT Education Corp., 2024
This study highlights the relationship between high school grade point average (GPA), ACT Composite score, and the likelihood of developmental course placement in college. Higher high school grade point averages (HSGPA) and ACT Composite scores were associated with lower probabilities of developmental course placement. This study also highlights…
Descriptors: College Readiness, Developmental Studies Programs, Student Placement, Educational Trends
Birch, Matthew; Rosenman, Robert – Research in Higher Education, 2019
Merit aid is an increasingly important component of college scholarships, but policymakers are concerned that merit aid is often given to students who would enroll anyway. As a baseline we use a regression discontinuity (RD) framework to test an institution-level merit aid program at a public research university and find that the merit aid program…
Descriptors: Student Financial Aid, College Attendance, Enrollment, College Students
Miranda Freire, Sergio – Teaching Statistics: An International Journal for Teachers, 2019
The transition from the probability mass function for discrete random variables to the probability density function for continuous random variables is not straightforward, especially to students from the health and social sciences. An R Shiny application was created to assist the learning process of probability density function.
Descriptors: Probability, Educational Technology, Technology Uses in Education, Visualization
Block, Per; Stadtfeld, Christoph; Snijders, Tom A. B. – Sociological Methods & Research, 2019
Two approaches for the statistical analysis of social network generation are widely used; the tie-oriented exponential random graph model (ERGM) and the stochastic actor-oriented model (SAOM) or Siena model. While the choice for either model by empirical researchers often seems arbitrary, there are important differences between these models that…
Descriptors: Statistical Analysis, Social Networks, Models, Network Analysis
Curran, Maura; Walker, Elizabeth A.; Roush, Patricia; Spratford, Meredith – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Children who are hard of hearing (CHH) have restricted access to acoustic and linguistic information. Increased audibility provided by hearing aids influences language outcomes, but the benefits of hearing aids are often limited by acoustic factors and distance. Remote microphone (RM) systems further increase auditory access by reducing…
Descriptors: Probability, Hearing Impairments, Assistive Technology, Preschool Children
Doble, Christopher; Matayoshi, Jeffrey; Cosyn, Eric; Uzun, Hasan; Karami, Arash – International Journal of Artificial Intelligence in Education, 2019
A large-scale simulation study of the assessment effectiveness of a particular instantiation of knowledge space theory is described. In this study, data from more than 700,000 actual assessments in mathematics using the ALEKS (Assessment and LEarning in Knowledge Spaces) software were used to determine response probabilities for the same number of…
Descriptors: Test Reliability, Adaptive Testing, Mathematics Tests, Computer Assisted Testing
Acar, Tülin – International Journal of Assessment Tools in Education, 2019
The purpose of this study was to write programs to define sampling sizes and observation units by probability sampling methods and to provide an idea for software developers. The algorithms of the programs were written in Python 3. The programs may be run by double-clicking on the Windows operating system or by the command prompt of the DOS…
Descriptors: Sample Size, Computer Software, Probability, Statistical Analysis
Dvir, Michal; Ben-Zvi, Dani – Mathematical Thinking and Learning: An International Journal, 2023
Employing a statistical modeling inspired pedagogy is becoming a widespread practice in the statistics education community. Many have incorporated the practice of formulating conjectures in their modeling-enhanced educational designs and have reported on its benefits. We further elucidate the mechanism through which students' conjecturing may be…
Descriptors: Mathematics Instruction, Teaching Methods, Statistics Education, Instructional Design
Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Journal of Information Systems Education, 2023
Educators who teach programming subjects are often wondering "which programming language should I teach first?" The debate behind this question has a long history and coming up with a definite answer to this question would be farfetched. Nonetheless, several efforts can be identified in the literature wherein pros and cons of mainstream…
Descriptors: Comparative Analysis, Programming Languages, Probability, Error Patterns
Yongyun Shin; Stephen W. Raudenbush – Grantee Submission, 2023
We consider two-level models where a continuous response R and continuous covariates C are assumed missing at random. Inferences based on maximum likelihood or Bayes are routinely made by estimating their joint normal distribution from observed data R[subscript obs] and C[subscript obs]. However, if the model for R given C includes random…
Descriptors: Maximum Likelihood Statistics, Hierarchical Linear Modeling, Error of Measurement, Statistical Distributions
Liqun Yin; Ummugul Bezirhan; Matthias von Davier – International Electronic Journal of Elementary Education, 2025
This paper introduces an approach that uses latent class analysis to identify cut scores (LCA-CS) and categorize respondents based on context scales derived from largescale assessments like PIRLS, TIMSS, and NAEP. Context scales use Likert scale items to measure latent constructs of interest and classify respondents into meaningful ordered…
Descriptors: Multivariate Analysis, Cutting Scores, Achievement Tests, Foreign Countries
Justice, Nicola; Morris, Samantha; Henry, Veronique; Fry, Elizabeth Brondos – Statistics Education Research Journal, 2020
Statistics students' conceptions of the work of statisticians and the discipline of statistics may play an important role in the topics to which they attend and their interest in pursuing further study. To learn about students' conceptions, we collected open-ended survey responses from 44 undergraduate students who had completed introductory…
Descriptors: Student Attitudes, Statistics, Undergraduate Students, Introductory Courses
Harris, Laura; Harrison, Douglas; McNally, Darragh; Ford, Cristi – Journal of Academic Ethics, 2020
This study examines how the self-reported cheating behaviors of students from a single large institution serving primarily adult students in online courses differ from those previously reported in large-scale studies of academic integrity among traditional-age college students. Specifically, the research presented here demonstrates that students…
Descriptors: Adult Students, Online Courses, Virtual Universities, Integrity
Arican, Muhammet; Kuzu, Okan – International Journal of Science and Mathematics Education, 2020
This study investigates preservice middle school mathematics teachers' understanding of statistics and probability and provides a cognitive diagnostic assessment of their strengths and weaknesses on these subjects. A statistical reasoning test that included 15 multiple-choice and 5 open-ended items was developed from the perspective of the…
Descriptors: Preservice Teachers, Statistics, Probability, Cognitive Tests
Diaz, Keith M. – American Journal on Intellectual and Developmental Disabilities, 2020
It is unclear whether children with Down syndrome have differing physical activity and sedentary behavior levels compared to typical children. This study addressed this evidence gap in a national sample. Physical activity/sedentary behavior were ascertained by parental report. Findings highlighted that children with Down syndrome were less likely…
Descriptors: Health Behavior, Life Style, Physical Activity Level, Children

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