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Feinberg, Richard A.; von Davier, Matthias – Journal of Educational and Behavioral Statistics, 2020
The literature showing that subscores fail to add value is vast; yet despite their typical redundancy and the frequent presence of substantial statistical errors, many stakeholders remain convinced of their necessity. This article describes a method for identifying and reporting unexpectedly high or low subscores by comparing each examinee's…
Descriptors: Scores, Probability, Statistical Distributions, Ability
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Chalikias, Miltiadis; Kossieri, Evangelia; Lalou, Panagiota – Teaching Statistics: An International Journal for Teachers, 2020
The aim of this paper is to approach the teaching of the Poisson distribution in a friendly and amusing way. It constitutes a common practice to adopt the main probability distributions in order to predict results of sport events and to estimate the win return of betting activities (Chalikias 2009). In particular, by using the Poisson…
Descriptors: Decision Making, Team Sports, Probability, Statistics
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Liang, Feifei; Gao, Qi; Li, Xin; Wang, Yongsheng; Bai, Xuejun; Liversedge, Simon P. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Word spacing is important in guiding eye movements during spaced alphabetic reading. Chinese is unspaced and it remains unclear as to how Chinese readers segment and identify words in reading. We conducted two parallel experiments to investigate whether the positional probabilities of the initial and the final characters of a multicharacter word…
Descriptors: Reading Processes, Chinese, Orthographic Symbols, Word Recognition
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Carly Oddleifson; Stephen Kilgus; David A. Klingbeil; Alexander D. Latham; Jessica S. Kim; Ishan N. Vengurlekar – Grantee Submission, 2025
The purpose of this study was to conduct a conceptual replication of Pendergast et al.'s (2018) study that examined the diagnostic accuracy of a nomogram procedure, also known as a naive Bayesian approach. The specific naive Bayesian approach combined academic and social-emotional and behavioral (SEB) screening data to predict student performance…
Descriptors: Bayesian Statistics, Accuracy, Social Emotional Learning, Diagnostic Tests
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Zeng, Ji; Yin, Ping; Shedden, Kerby A. – Educational and Psychological Measurement, 2015
This article provides a brief overview and comparison of three matching approaches in forming comparable groups for a study comparing test administration modes (i.e., computer-based tests [CBT] and paper-and-pencil tests [PPT]): (a) a propensity score matching approach proposed in this article, (b) the propensity score matching approach used by…
Descriptors: Comparative Analysis, Computer Assisted Testing, Probability, Classification
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Luo, Yong; Jiao, Hong – Educational and Psychological Measurement, 2018
Stan is a new Bayesian statistical software program that implements the powerful and efficient Hamiltonian Monte Carlo (HMC) algorithm. To date there is not a source that systematically provides Stan code for various item response theory (IRT) models. This article provides Stan code for three representative IRT models, including the…
Descriptors: Bayesian Statistics, Item Response Theory, Probability, Computer Software
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Adair, Desmond; Jaeger, Martin; Price, Owen M. – International Journal of Higher Education, 2018
The use of a portfolio curriculum approach, when teaching a university introductory statistics and probability course to engineering students, is developed and evaluated. The portfolio curriculum approach, so called, as the students need to keep extensive records both as hard copies and digitally of reading materials, interactions with faculty,…
Descriptors: Active Learning, Introductory Courses, Statistics, Probability
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Corcoran, Roisin P. – Child & Youth Care Forum, 2017
Background: The growing interest in principal effectiveness as a means of improving teaching and student learning has led to a focus on the quality of principal preparation programs (PPPs) with calls for the adoption of PPP accountability systems similar to those of teacher preparation programs. Objective: The purpose of the present study is to…
Descriptors: Principals, Administrator Role, Administrator Qualifications, Academic Achievement
Hull, Justin A. – ProQuest LLC, 2018
Many students who enter a community college expect to transfer and earn a bachelor's degree, yet many are unable to do so largely because of inefficiencies in the transfer of earned credits. Prior research has shown that students who leave community college with an associate degree are more likely to complete bachelor's degrees. However, this has…
Descriptors: Associate Degrees, Bachelors Degrees, Outcomes of Education, Educational Attainment
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Gill, Tim – Research Papers in Education, 2018
In the UK, students who want to progress to higher education have a number of possible pathways at age 16. The most common of these is traditional, academic focussed, 'A' levels, but increasingly students are taking alternative qualifications (e.g. BTECs, IB, Pre-U). The focus of this research is to infer which (if any) of these qualifications are…
Descriptors: Statistical Analysis, Comparative Analysis, College Readiness, College Preparation
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Chen, WeiLin; Lingo, Mitchell David – Journal of College and Character, 2020
The study uses the Wabash National Study on Liberal Arts Education to test how arts attendance in college facilitates growth in socially responsible leadership, diversity orientation, and the importance of political and social involvement. The study uses the Socially Responsible Leadership Scale (SRLS) and the Miville-Guzman Universality-Diversity…
Descriptors: Liberal Arts, Art Education, Social Responsibility, Diversity
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Kim, Yongnam; Steiner, Peter – Educational Psychologist, 2016
When randomized experiments are infeasible, quasi-experimental designs can be exploited to evaluate causal treatment effects. The strongest quasi-experimental designs for causal inference are regression discontinuity designs, instrumental variable designs, matching and propensity score designs, and comparative interrupted time series designs. This…
Descriptors: Quasiexperimental Design, Causal Models, Statistical Inference, Randomized Controlled Trials
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Yamada, Hiroyuki; Bohannon, Angel X.; Grunow, Alicia; Thorn, Christopher A. – Community College Review, 2018
Objective: Quantway is a Carnegie Math Pathways initiative, which redesigns the content, pedagogy, and structure of traditional developmental mathematics courses to simultaneously tackle traditional barriers to student success and support a broad range of developmental students in achieving their mathematics potential. Specifically, Quantway is a…
Descriptors: Hierarchical Linear Modeling, Probability, Scores, Developmental Studies Programs
Phelan, Julia; Egger, Jeffrey; Kim, Junok; Choi, Kilchan; Keum, Eunhee; Chung, Gregory K. W. K.; Baker, Eva L. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2021
The National Math + Science Initiative (NMSI) is a nonprofit organization committed to improving educational outcomes that traces its roots back to the early 1990s. NMSI's College Readiness Program (CRP) is a long-standing program with the goal of promoting STEM education in high schools to improve students' preparation for college. The three-year…
Descriptors: College Readiness, Nonprofit Organizations, Program Evaluation, STEM Education
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Jacovidis, Jessica N.; Foelber, Kelly J.; Horst, S. Jeanne – Journal of Experimental Education, 2017
Often program administrators are interested in knowing how students benefit from participation in programs compared to students who do not participate. Such comparisons may be sullied by the fact that participants self-select into programs, resulting in differences between groups prior to programming. By controlling for…
Descriptors: Probability, Scores, Statistical Analysis, Student Evaluation
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