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Peer reviewed
Direct linkFinch, Holmes; Edwards, Julianne M. – Educational and Psychological Measurement, 2016
Standard approaches for estimating item response theory (IRT) model parameters generally work under the assumption that the latent trait being measured by a set of items follows the normal distribution. Estimation of IRT parameters in the presence of nonnormal latent traits has been shown to generate biased person and item parameter estimates. A…
Descriptors: Item Response Theory, Computation, Nonparametric Statistics, Bayesian Statistics
Esquibel, Joseph; Rook, Deborah L.; LoRe, Sondra M.; Starnes, John H.; Miller, Jillian M.; Buntz, Jennifer G.; Hugo, Alys; Nieuwsma, Christianne B.; Seitz, Heather; Bissell, Ahrash; Gross, Louis; Kiser, Stacey; Lenhart, Suzanne; Mills, Michael A.; Neuhauser, Claudia; Corriette, Irene; Prescott, Sarah; Jenkins, Kristin P.; Karpakakunjaram, Vedham – CBE - Life Sciences Education, 2023
Mastery of quantitative skills is increasingly critical for student success in life sciences, but few curricula adequately incorporate quantitative skills. Quantitative Biology at Community Colleges (QB@CC) is designed to address this need by building a grassroots consortium of community college faculty to (1) engage in interdisciplinary…
Descriptors: Biology, Science Instruction, College Science, Community Colleges
Chen, Xieling; Zou, Di; Cheng, Gary; Xie, Haoran; Su, Fan – Australasian Journal of Educational Technology, 2023
Despite accumulated evidence demonstrating the effectiveness of flipped language classrooms in higher education, there is no quantitative examination of the extant empirical studies to draw a general conclusion. Based on Bayesian methodologies and 26 effect sizes, this study quantitatively examines empirical studies that investigated flipped…
Descriptors: Flipped Classroom, Teaching Methods, Second Language Learning, Second Language Instruction
Download full textMatthew Finster; Jill Feldman – Journal of College Student Retention: Research, Theory & Practice, 2023
Due to the low success of traditional, postsecondary remediation mathematics, The Maryland Mathematics Reform Initiative First in the World Grant (MMRI-FITW) sought to develop and implement a statistics pathway in 2- and 4-year institutions as an alternative to traditional algebra-based math, to accelerate developmental mathematics students'…
Descriptors: Cost Effectiveness, Mathematics Instruction, Statistics Education, Remedial Instruction
Teruni Lamberg, Editor; Diana Moss, Editor – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
The Forty Fifth Annual meeting of the North American chapter of the International Group for the Psychology of Mathematics Education was held PME-NA 45 in Reno, Nevada, October 1-4, 2023. The conference theme is "Engaging All Learners." Math learning should be a joyful experience for all students. When students are engaged and inspired,…
Descriptors: Mathematics Education, Learner Engagement, Student Motivation, Student Interests
Center for Public Education, National School Boards Association, 2023
A rural perspective in setting education policies is often linked to spatial equity. In this brief, we provide readers with some key back-to-school statistics on rural schools, hoping to increase the awareness that rural students, families, and communities deserve a voice in policymaking decisions and an investment in their educational…
Descriptors: Rural Schools, Public Schools, Educational Policy, Equal Education
Chun-Wei Huang; Linlin Li; Mingyu Feng – Society for Research on Educational Effectiveness, 2025
Background: An efficacy study based on a randomized controlled trial (RCT) was designed to evaluate the impact of ASSISTments on math learning among middle school students, including those from high-needs rural schools. Despite extensive recruitment efforts in 2021 (during the pandemic), only a few schools and their teachers agreed to participate,…
Descriptors: Educational Technology, Feedback (Response), Formative Evaluation, Middle School Students
Chun-Wei Huang; Mingyu Feng; Linlin Li – WestEd, 2025
This is a technical report detailing the analytic methods used to assess the effects of a virtual professional learning community (vPLC)-enhanced ASSISTments intervention. The report uses a quasi-experimental design and partially nested regression model to account for clustering and reveals that while overall effects were positive but not…
Descriptors: Educational Technology, Feedback (Response), Formative Evaluation, Middle School Students
Mai P. Trinh; Robert J. Chico; Rachel M. Reed – Journal of Management Education, 2024
Innovative instructional methods can help improve student engagement and learning outcomes when teaching difficult subjects, such as statistics. This instructional innovation article illustrates how gamification can be applied in management education to improve students' learning experience, engagement, and acquisition of knowledge. Our purpose is…
Descriptors: Statistics Education, Game Based Learning, Teaching Methods, Graduate Students
Karabatsos, George; Talbott, Elizabeth; Walker, Stephen G. – Research Synthesis Methods, 2015
In a meta-analysis, it is important to specify a model that adequately describes the effect-size distribution of the underlying population of studies. The conventional normal fixed-effect and normal random-effects models assume a normal effect-size population distribution, conditionally on parameters and covariates. For estimating the mean overall…
Descriptors: Bayesian Statistics, Meta Analysis, Prediction, Nonparametric Statistics
Chung, Yeojin; Gelman, Andrew; Rabe-Hesketh, Sophia; Liu, Jingchen; Dorie, Vincent – Journal of Educational and Behavioral Statistics, 2015
When fitting hierarchical regression models, maximum likelihood (ML) estimation has computational (and, for some users, philosophical) advantages compared to full Bayesian inference, but when the number of groups is small, estimates of the covariance matrix (S) of group-level varying coefficients are often degenerate. One can do better, even from…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Bayesian Statistics, Statistical Inference
Chung, Yeojin; Gelman, Andrew; Rabe-Hesketh, Sophia; Liu, Jingchen; Dorie, Vincent – Grantee Submission, 2015
When fitting hierarchical regression models, maximum likelihood (ML) estimation has computational (and, for some users, philosophical) advantages compared to full Bayesian inference, but when the number of groups is small, estimates of the covariance matrix [sigma] of group-level varying coefficients are often degenerate. One can do better, even…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Bayesian Statistics, Statistical Inference
Pizarro Milian, Roger; Davies, Scott – Education Policy Analysis Archives, 2017
For over 25 years, school choice advocates have argued that market competition drives educational organizations to become more differentiated and technically-oriented. However, empirical research has only partially supported this view, observing such outcomes only under certain conditions. To better understand the contingent nature of market…
Descriptors: Foreign Countries, Private Schools, Competition, School Choice
Dubossarsky, Haim; De Deyne, Simon; Hills, Thomas T. – Developmental Psychology, 2017
We investigate how the mental lexicon changes over the life span using free association data from over 8,000 individuals, ranging from 10 to 84 years of age, with more than 400 cue words per age group. Using network analysis, with words as nodes and edges defined by the strength of shared associations, we find that associative networks evolve in a…
Descriptors: Network Analysis, Language Acquisition, Lifelong Learning, Age Groups
Myers, Carrie B.; Myers, Scott M. – Research & Practice in Assessment, 2017
Previous studies have found that freshmen who enter college with dual enrollment credits earned during high school have higher 6-year graduation rates. Yet, we do not know if institutional graduation rates benefit in the aggregate from their practice of accepting dual enrollment credits among incoming freshman cohorts. In this study, we used…
Descriptors: Undergraduate Students, College Graduates, Graduation Rate, Dual Enrollment
