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Alexander J. Norquist; Gabriel Jones-Thomson; Keqing He; Thomas Egg; Joshua Schrier – Journal of Chemical Education, 2023
Laboratory automation and data science are valuable new skills for all chemists, but most pedagogical activities involving automation to date have focused on upper-level coursework. Herein, we describe a combined computational and experimental lab suitable for a first-year undergraduate general chemistry course, in which these topics are…
Descriptors: Laboratory Experiments, Measurement Techniques, Chemistry, Science Instruction
Xinxin Sun – Grantee Submission, 2023
Noncompliance to treatment assignment is widespread in randomized trials and presents challenges in causal inference. In the presence of noncompliance, the most commonly estimated effect of treatment assignment, also known as the intent-to-treat (ITT) effect, is biased. Of interest in this setting is the complier average causal effect (CACE), the…
Descriptors: Compliance (Psychology), Randomized Controlled Trials, Maximum Likelihood Statistics, Computation
Nabours, Gina M. – ProQuest LLC, 2023
Graduate Student Instructors (GSIs) are an integral part of the higher education system. Their presence causes a substantial impact on undergraduate student learning, making supporting GSI learning and growth as educators a focus of anyone tasked in supervising their instruction and charged with the success of the undergraduates they teach.…
Descriptors: Graduate Students, Communities of Practice, Mathematics Education, Statistics Education
Kaitlyn G. Fitzgerald; Elizabeth Tipton – Grantee Submission, 2023
The evidence-based decision-making movement often assumes that once evidence is available (e.g., via the What Works Clearinghouse), decision-makers will integrate it into their practice. Research-practice partnership studies have shown this is not always true. In this paper, we argue that instead of assuming research will be useful and used, we…
Descriptors: Evidence Based Practice, Decision Making, Statistics, Educational Research
Lockwood, J. R.; Castellano, Katherine E.; Shear, Benjamin R. – Journal of Educational and Behavioral Statistics, 2018
This article proposes a flexible extension of the Fay--Herriot model for making inferences from coarsened, group-level achievement data, for example, school-level data consisting of numbers of students falling into various ordinal performance categories. The model builds on the heteroskedastic ordered probit (HETOP) framework advocated by Reardon,…
Descriptors: Bayesian Statistics, Mathematical Models, Statistical Inference, Computation
Schoen, Robert C.; Koon, Sharon – Regional Educational Laboratory Southeast, 2021
On average, Florida students earn only half of the points possible in the statistics content area of the state's annual mathematics assessment. Leaders in Broward County Public Schools, a large, diverse, urban school district, viewed changes to statistics curriculum and instruction as one way to address this issue. This study randomly assigned 40…
Descriptors: Statistics Education, Grade 7, Inquiry, Active Learning
Regional Educational Laboratory Southeast, 2021
Broward County Public Schools (BCPS) has identified low student achievement in statistics in the middle grades as a critical concern. It has also expressed concern that statistics instruction does not meet the level of cognitive complexity described in the state curriculum standards. This randomized controlled trial in 40 BCPS middle schools…
Descriptors: Statistics Education, Grade 7, Inquiry, Active Learning
Setiawan, Ezra Putranda; Sukoco, Heru – Journal on Mathematics Education, 2021
Statistical literacy, which is the ability to use statistics in daily life, is an essential skill for facing society 5.0. This study aims to explore first-year university students' ability to properly use simple descriptive statistics and data visualization. Qualitative data were collected using a set of questions from 39 undergraduate students.…
Descriptors: College Freshmen, Statistics Education, Visual Aids, Foreign Countries
Dickson-Karn, Nicole M.; Orosz, Steven – Journal of Chemical Education, 2021
Proper sampling techniques are of the utmost importance in obtaining accurate and precise results in chemical analysis. A Python language computer simulation providing fast feedback on sampling concepts and statistics was delivered to students through Google Colab. Students used the simulation to aid in their exploration of sampling and sampling…
Descriptors: Programming Languages, Chemistry, Computer Simulation, Sampling
Volfson, Alexander; Eshach, Haim; Ben-Abu, Yuval – Physical Review Physics Education Research, 2021
Science knowledge is reflected in mental models that students tend to form when dealing with science phenomena. One way to identify students' mental models about scientific concepts is the use of diagnostic tests (inventories). Even though several statistical approaches and tools intended for the analysis of such inventories' results exist in the…
Descriptors: Schemata (Cognition), Diagnostic Tests, Scientific Concepts, Multiple Choice Tests
Levy, Roy; Xia, Yan; Green, Samuel B. – Educational and Psychological Measurement, 2021
A number of psychometricians have suggested that parallel analysis (PA) tends to yield more accurate results in determining the number of factors in comparison with other statistical methods. Nevertheless, all too often PA can suggest an incorrect number of factors, particularly in statistically unfavorable conditions (e.g., small sample sizes and…
Descriptors: Bayesian Statistics, Statistical Analysis, Factor Structure, Probability
Lundy, Erin R.; Dean, C. B. – Sociological Methods & Research, 2021
Multiple outcome recurrent event data are typical in social sciences, where several outcomes on an individual are collected. In situations where aggregated counts of events over a long observation period are recorded, rounding is common, leading to counts being heaped at rounded values. We consider situations where multiple outcome recurrent event…
Descriptors: Longitudinal Studies, Regression (Statistics), Computation, Bias
Davies, Neville; Sheldon, Neil – Teaching Statistics: An International Journal for Teachers, 2021
In 2003, Holmes [The Statistician 52, Part 4, (2003), 439-474] reviewed 50 years of teaching statistics in English schools and drew out many lessons for more effective teaching. We consider the current relevance of several of these lessons and whether we have learned from them. Many national reports have been published about teaching statistics…
Descriptors: Statistics Education, Data Analysis, Interdisciplinary Approach, Foreign Countries
Austerschmidt, Kim L.; Kerkhoff, Denise; Bebermeier, Sarah; Hagemann, Anne – Psychology Teaching Review, 2021
Statistics courses are challenging for many psychology students. We designed a 'Painting and Puzzles Exercise Book for Statistics' for first year psychology undergraduates, to repeat and deepen the course content and get prepared for the exam. We describe the development and characteristics of the book and report a longitudinal evaluation study.…
Descriptors: Instructional Material Evaluation, Statistics Education, Psychology, College Freshmen
Gordon, Sheldon P.; Gordon, Florence S. – International Journal for Technology in Mathematics Education, 2021
The authors discuss the status of college algebra and related offerings and their relationship to introductory statistics education. They also describe an innovative approach to college algebra that integrates a significant amount of statistical reasoning and concepts and statistical methods as natural applications of basic ideas that are part of…
Descriptors: Statistics, Algebra, College Mathematics, Introductory Courses

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