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Hanife Merve Erdogan; Nazan Sezen Yüksel – Acta Didactica Napocensia, 2023
The aim of this study is to classify the subjects and skills of middle school mathematics course in the context of MATH Taxonomy and to determine their relations. For this purpose, the questions and answers related to the mathematics subtest of a national exam were analyzed over the answers of 20154 students. The study continued with the analysis…
Descriptors: Mathematics Skills, Taxonomy, Computer Software, Probability
Wang, Ming-Te; Del Toro, Juan; Scanlon, Christina L.; McKellar, Sarah E. – Developmental Psychology, 2023
Despite numerous efforts to attenuate the Black-White discipline gap in U.S. schools, Black students are still suspended for minor infractions at a disproportionately higher rate than their White peers. Using a racially diverse sample (n = 1,515; M[subscript age] = 12.7; 50% boys; 72% Black, 28% White), this 3-year longitudinal study examined…
Descriptors: Equal Education, Racial Differences, Discipline, African American Students
Han Du; Brian Keller; Egamaria Alacam; Craig Enders – Grantee Submission, 2023
In Bayesian statistics, the most widely used criteria of Bayesian model assessment and comparison are Deviance Information Criterion (DIC) and Watanabe-Akaike Information Criterion (WAIC). A multilevel mediation model is used as an illustrative example to compare different types of DIC and WAIC. More specifically, the study compares the…
Descriptors: Bayesian Statistics, Models, Comparative Analysis, Probability
Petrie, Jennifer; James, Dwayne T.; Rzeszutko, Ryan – ProQuest LLC, 2023
The typical collegiate introductory statistics course poses significant challenges for students. Many do not fully comprehend key course skills, and it is common for students to exit the class with a neutral or negative attitude toward statistics. To measure the impact of using relevant contextual examples as an instructional strategy during a…
Descriptors: Introductory Courses, Statistics Education, College Mathematics, College Students
James, Dwayne T.; Petrie, Jennifer; Rzeszutko, Ryan – ProQuest LLC, 2023
The typical collegiate introductory statistics course poses significant challenges for students. Many do not fully comprehend key course skills, and it is common for students to exit the class with a neutral or negative attitude toward statistics. To measure the impact of using relevant contextual examples as an instructional strategy during a…
Descriptors: Introductory Courses, Statistics Education, College Mathematics, College Students
Matthew Jannetti; Amy Carroll-Scott; Erikka Gilliam; Irene Headen; Maggie Beverly; Félice Lê-Scherban – Field Methods, 2023
Place-based initiatives often use resident surveys to inform and evaluate interventions. Sampling based on well-defined sampling frames is important but challenging for initiatives that target subpopulations. Databases that enumerate total population counts can produce overinclusive sampling frames, resulting in costly outreach to ineligible…
Descriptors: Sampling, Probability, Definitions, Prediction
Matthew Dean Greene – ProQuest LLC, 2023
The aim of this study was to understand the factors that affect returning students' ability to complete their degrees through online degree programs. Logistic regression was used to determine which factors had a significant relationship with persistence to graduation and how they contributed to the odds of students graduating. The findings show…
Descriptors: Self Efficacy, Locus of Control, Electronic Learning, Reentry Students
Harmston, Matt – ACT, Inc., 2020
Out of over 1.9 million students in the 2018 ACT-tested graduating class, 44% took the full ACT® test at least twice in hopes of improving their scores. Camara and Allen (2017) support this practice, confirming that factors such as time in the classroom between test administrations are associated with increases in ACT Composite scores from the…
Descriptors: College Entrance Examinations, Repetition, Scores, Probability
Lin Li – Brock Education: A Journal of Educational Research and Practice, 2024
Mathematical symbols, such as those embodying quantum concepts, are indispensable for conveying complex ideas and relationships in academic writing. However, some education researchers and students keep a distance from anything mathematical: algebraic equations, geometrical reasoning, or statistical symbols. How to lower the access threshold for…
Descriptors: Symbols (Mathematics), Writing (Composition), Academic Language, Educational Researchers
Randall E. Groth – Numeracy, 2024
Pedagogical content knowledge (PCK) traditionally has been used in research concerning prospective and practicing classroom teachers. This essay argues that PCK is also relevant to other professions including those advancing quantitative reasoning (QR). To illustrate, the case of PCK for teaching QR is considered. Those in fields such as public…
Descriptors: Educational Research, Pedagogical Content Knowledge, Statistical Analysis, Probability
David Grant; Claude Messan Setodji; Gerald P. Hunter; Melissa Kay Diliberti; Heather L. Schwartz – RAND Corporation, 2024
The American School District Panel (ASDP) is a nationally representative set of more than 1,000 school district leaders who agree to take surveys over time. RAND recruits ASDP members using probabilistic sampling methods, which allow researchers to weight survey results to generalize to the national population of school districts and charter…
Descriptors: Teacher Surveys, Administrator Surveys, School Surveys, National Surveys
Xiaoyang Ye – Education Finance and Policy, 2024
This paper provides the first experimental evidence of how admission outcomes in centralized systems depend on strategic college choice behaviors. Centralized college admissions simplify the application process and reduce students' informational barriers. However, such systems also reward informed and strategic college choices. In particular,…
Descriptors: College Admission, College Choice, Educational Administration, Prediction
Clemens Draxler; Andreas Kurz; Can Gürer; Jan Philipp Nolte – Journal of Educational and Behavioral Statistics, 2024
A modified and improved inductive inferential approach to evaluate item discriminations in a conditional maximum likelihood and Rasch modeling framework is suggested. The new approach involves the derivation of four hypothesis tests. It implies a linear restriction of the assumed set of probability distributions in the classical approach that…
Descriptors: Inferences, Test Items, Item Analysis, Maximum Likelihood Statistics
Kaiying Lin – ProQuest LLC, 2024
The field of Linguistics has long been interested in the verb meanings of intransitive verbs and their argument structure, specifically the breakdown of intransitive verbs into unaccusative and unergative verb types. Despite extensive research, a universally applicable explanation for this breakdown remains elusive due in part to the variability…
Descriptors: Mandarin Chinese, Second Language Learning, Second Language Instruction, Semantics
Joanna L. Dickert; Jian Li – Research in Higher Education, 2024
As colleges and universities grapple with uncertainty around current and future enrollment as well as increasingly vocal questions about the value of postsecondary education, it is critically important that institutions ascertain and invest in the elements of campus learning and engagement that add value to the undergraduate experience. This study…
Descriptors: College Graduates, Student Participation, Educational Practices, Longitudinal Studies

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