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Ross, James; Nunez, Leslie; Lai, Chinh Chu – Chemistry Education Research and Practice, 2018
Students' decisions to enter or persist in STEM courses is linked with their affective domain. The influence of factors impacting students' affective domain in introductory college chemistry classes, such as attitude, is often overlooked by instructors, who instead focus on students' mathematical abilities as sole predictors of academic…
Descriptors: Introductory Courses, College Science, Chemistry, Student Attitudes
Murphy, Marylou – ProQuest LLC, 2018
Statistical literacy is important to students in this world of technological advancement, helping to adequately prepare students for a broad range of data-intensive careers as well as statistical thinking for everyday life. Constructivist theory supports student learning through knowledge transfer with practical applications. Therefore, faculty…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Correlation, Introductory Courses
Suh, Youngsuk; Cho, Sun-Joo; Bottge, Brian A. – Grantee Submission, 2018
This article presents a multilevel longitudinal nested logit model for analyzing correct response and error types in multilevel longitudinal intervention data collected under a pretest-posttest, cluster randomized trial design. The use of the model is illustrated with a real data analysis, including a model comparison study regarding model…
Descriptors: Hierarchical Linear Modeling, Longitudinal Studies, Error Patterns, Change
Luke W. Miratrix; Jasjeet S. Sekhon; Alexander G. Theodoridis; Luis F. Campos – Grantee Submission, 2018
The popularity of online surveys has increased the prominence of using weights that capture units' probabilities of inclusion for claims of representativeness. Yet, much uncertainty remains regarding how these weights should be employed in analysis of survey experiments: Should they be used or ignored? If they are used, which estimators are…
Descriptors: Online Surveys, Weighted Scores, Data Interpretation, Robustness (Statistics)
Education Trust-Midwest, 2024
Seven decades after the landmark U.S. Supreme Court case "Brown vs. Board of Education," Michigan students of color continue to face devastating educational inequities in deeply under-resourced public schools. Today, they are far more likely to be enrolled in Michigan public schools with the highest concentrations of poverty, where they…
Descriptors: State Government, School Statistics, Educational Legislation, Annual Reports
Nebraska's Coordinating Commission for Postsecondary Education, 2024
The 2024 Nebraska Higher Education Progress Report is the 18th annual progress report designed to provide the Nebraska Legislature with comparative statistics to monitor and evaluate progress toward achieving three key priorities for Nebraska's postsecondary education system. These priorities were developed by the 2003 LR 174 Higher Education Task…
Descriptors: Higher Education, State Government, School Statistics, Enrollment
Uwimpuhwe, Germaine; Singh, Akansha; Higgins, Steve; Coux, Mickael; Xiao, ZhiMin; Shkedy, Ziv; Kasim, Adetayo – Journal of Experimental Education, 2022
Educational stakeholders are keen to know the magnitude and importance of different interventions. However, the way evidence is communicated to support understanding of the effectiveness of an intervention is controversial. Typically studies in education have used the standardised mean difference as a measure of the impact of interventions. This…
Descriptors: Program Effectiveness, Intervention, Multivariate Analysis, Bayesian Statistics
Jungck, John R. – PRIMUS, 2022
Finite Mathematics has become an enormously rich and productive area of contemporary mathematical biology. Fortunately, educators have developed educational modules based upon many of the models that have used Finite Mathematics in mathematical biology research. A sufficient variety of computer modules that employ graph theory (phylogenetic trees,…
Descriptors: Mathematics Instruction, Teaching Methods, Mathematical Models, Learning Modules
Boenig-Liptsin, Margarita; Tanweer, Anissa; Edmundson, Ari – Journal of Statistics and Data Science Education, 2022
This article presents the Data Science Ethos Lifecycle, a tool for engaging responsible workflow developed by an interdisciplinary team of social scientists and data scientists working with the Academic Data Science Alliance. The tool uses a data science lifecycle framework to engage data science students and practitioners with the ethical…
Descriptors: Ethics, Statistics Education, Feminism, Interdisciplinary Approach
Dönmez, Onur; Akbulut, Yavuz; Telli, Esra; Kaptan, Miray; Özdemir, Ibrahim H.; Erdem, Mukaddes – Education and Information Technologies, 2022
In the current study, we aimed to develop a reliable and valid scale to address individual cognitive load types. Existing scale development studies involved limited number of items without adequate convergent, discriminant and criterion validity checks. Through a multistep correlational study, we proposed a three-factor scale with 13 items to…
Descriptors: Test Construction, Content Validity, Construct Validity, Test Reliability
Castro-Filho, Jose Aires de; Santana, Eurivalda Ribeiro dos Santos; Couto, Maria Elizabete Souza; Castro, Juscileide Braga de; Maia, Dennys Leite – International Electronic Journal of Mathematics Education, 2022
This research sought to understand the perspectives of 28 elementary school mathematics teachers, on equity, social justice, cultural, socioeconomic, and racial issues and their relationship with the teaching and learning of mathematics (statistical concepts) in an online collaborative mathematics course focused on teaching statistics in an equity…
Descriptors: Public School Teachers, Faculty Development, Communities of Practice, Teacher Attitudes
Mahmud, Jumailiyah; Sutikno, Muzayanah; Naga, Dali S. – Educational Research and Reviews, 2016
The aim of this study is to determine variance difference between maximum likelihood and expected A posteriori estimation methods viewed from number of test items of aptitude test. The variance presents an accuracy generated by both maximum likelihood and Bayes estimation methods. The test consists of three subtests, each with 40 multiple-choice…
Descriptors: Maximum Likelihood Statistics, Computation, Item Response Theory, Test Items
Palmer, Jane E.; Alda, Erik – Review of Higher Education, 2016
Sexual assault on college campuses is persistently underreported; therefore, Clery Act sexual assault statistics are not strong indicators of incidence. Instead, they may indicate whether students feel comfortable reporting on a particular campus. The purpose of this study was to examine the impact of the Office on Violence Against Women Campus…
Descriptors: Rape, Sexual Abuse, College Students, Violence
Liang, Belle; Lund, Terese Jean; Mousseau, Angela M. Desilva; Spencer, Renée – Psychology in the Schools, 2016
This study examined the influence of growth-fostering mentoring relationships on the self-esteem of adolescent female students from affluent communities. Studies have demonstrated that this population of students is susceptible to psychological distress and self-esteem problems, due to perfectionistic strivings and achievement pressures.…
Descriptors: Secondary School Students, Adolescents, Females, Mentors
Golino, Hudson F.; Gomes, Cristiano M. A. – International Journal of Research & Method in Education, 2016
This paper presents a non-parametric imputation technique, named random forest, from the machine learning field. The random forest procedure has two main tuning parameters: the number of trees grown in the prediction and the number of predictors used. Fifty experimental conditions were created in the imputation procedure, with different…
Descriptors: Item Response Theory, Regression (Statistics), Difficulty Level, Goodness of Fit

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