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Barb Bennie; Richard A. Erickson – Journal of Statistics and Data Science Education, 2024
Effective undergraduate statistical education requires training using real-world data. Textbook datasets seldom match the complexities and messiness of real-world data and finding these datasets can be challenging for educators. Consulting and industrial datasets often have nondisclosure agreements. Academic datasets often require subject area…
Descriptors: Undergraduate Students, Statistics Education, Data Science, Earth Science
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Adam Sales – Society for Research on Educational Effectiveness, 2021
Education researchers frequently have to choose between statistical models for their data, and in many cases the candidate models or parameters can be listed in a sequence, m=1,...,M, from less preferable choices to more. For instance, in choosing a bandwidth for regression discontinuity designs, researchers would favor the largest possible…
Descriptors: Educational Research, Statistical Analysis, Research Design, Decision Making
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Solomon, Benjamin G.; Forsberg, Ole J. – School Psychology Quarterly, 2017
Bayesian techniques have become increasingly present in the social sciences, fueled by advances in computer speed and the development of user-friendly software. In this paper, we forward the use of Bayesian Asymmetric Regression (BAR) to monitor intervention responsiveness when using Curriculum-Based Measurement (CBM) to assess oral reading…
Descriptors: Bayesian Statistics, Regression (Statistics), Least Squares Statistics, Evaluation Methods
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Fendler, Richard J.; Ruff, Craig; Shrikhande, Milind M. – Online Learning, 2018
Much of the e-education literature suggests that no significant difference exists in aggregate student learning outcomes between online and face-to-face instruction. In this study, an empirical model is developed to forecast the grade that individual students would have most likely earned in the alternate class setting. Students for whom the…
Descriptors: Outcomes of Education, Online Courses, Grades (Scholastic), Conventional Instruction
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Schulz, Eric; Konstantinidis, Emmanouil; Speekenbrink, Maarten – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
The authors introduce the contextual multi-armed bandit task as a framework to investigate learning and decision making in uncertain environments. In this novel paradigm, participants repeatedly choose between multiple options in order to maximize their rewards. The options are described by a number of contextual features which are predictive of…
Descriptors: Learning, Decision Making, Context Effect, Rewards
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Rogers, Mary E.; Creed, Peter A.; Praskova, Anna – Journal of Career Development, 2018
We surveyed Australian adolescents and parents to test differences and congruence in perceptions of adolescent career development tasks (career planning, exploration, certainty, and world-of-work knowledge) and vocational identity. We found that, for adolescents (N = 415), career development tasks (not career exploration) explained 48% of the…
Descriptors: Parent Attitudes, Adolescent Attitudes, Career Development, Vocational Interests
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Smith, Hayden; Michelsen, Niall – Journal of Political Science Education, 2017
Utilizing a web-based simulation Statecraft, we explore the relative influence of ideology (realism and idealism) on student behavior and learning. By placing students into ideologically cohesive groups, we are able to demonstrate the effect of their ideology on the goals they pursue and identify the constraints imposed on the system by the…
Descriptors: Political Science, Ideology, Computer Simulation, Foreign Policy
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He, Lingjun; Levine, Richard A.; Fan, Juanjuan; Beemer, Joshua; Stronach, Jeanne – Practical Assessment, Research & Evaluation, 2018
In institutional research, modern data mining approaches are seldom considered to address predictive analytics problems. The goal of this paper is to highlight the advantages of tree-based machine learning algorithms over classic (logistic) regression methods for data-informed decision making in higher education problems, and stress the success of…
Descriptors: Institutional Research, Regression (Statistics), Statistical Analysis, Data Analysis
Schweig, Jonathan; McEachin, Andrew; Kuhfeld, Megan; Mariano, Louis T.; Diliberti, Melissa Kay – RAND Corporation, 2021
The novel coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented set of obstacles for schools and exacerbated existing structural inequalities in public education. In spring 2020, as schools went to remote learning formats or closed completely, end-of-year assessment programs ground to a halt. As a result, schools began the…
Descriptors: Student Placement, COVID-19, Pandemics, Student Characteristics
Jonathan Schweig; Andrew McEachin; Megan Kuhfeld; Louis T. Mariano; Melissa Kay Diliberti – Grantee Submission, 2021
The novel coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented set of obstacles for schools and exacerbated existing structural inequalities in public education. In spring 2020, as schools went to remote learning formats or closed completely, end-of-year assessment programs ground to a halt. As a result, schools began the…
Descriptors: Student Placement, COVID-19, Pandemics, Student Characteristics
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Rosenqvist, Erik – Sociology of Education, 2018
Peers have a paradoxical influence on each other's educational decisions. On one hand, students are prone to conform to each other's ambitious educational decisions and, on the other hand, are discouraged from ambitious decisions when surrounded by successful peers. In this study I examine how peers influence each other's decision to apply to an…
Descriptors: Foreign Countries, Peer Influence, Secondary School Students, Achievement
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Niu, Lian – College Student Journal, 2017
The current study uses the data of Education Longitudinal Study of 2002 (ELS: 2002) to examine patterns of choice of STEM majors in college by students from different family socioeconomic (SES) backgrounds. Logistic regression results show that low-SES students are disadvantaged in the pursuit of STEM majors. Higher family SES compensates for…
Descriptors: Socioeconomic Status, STEM Education, Majors (Students), College Choice
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Park, Sun Hee; Jun, JuSung – International Electronic Journal of Elementary Education, 2017
The purpose of this study was to analyze the structural relationships between parent support, career decision self-efficacy, career maturity, and career preparation behavior for elementary school students (5th and 6th grade) in Korea and to examine if there are gender differences. A total of 609 students of 7 elementary schools in Seoul, Korea was…
Descriptors: Elementary School Students, Structural Equation Models, Grade 5, Grade 6
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Pan, Yilin – Society for Research on Educational Effectiveness, 2016
Given the importance of education and the growing public demand for improving education quality under tight budget constraints, there has been an emerging movement to call for research-informed decisions in educational resource allocation. Despite the abundance of rigorous studies on the effectiveness, cost, and implementation of educational…
Descriptors: Bayesian Statistics, Decision Making, Educational Research, Research Methodology
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Andrikopoulos, Vasilios P.; Ifanti, Amalia A. – Curriculum and Teaching, 2018
This study attempts to investigate primary education teachers' perceptions of their professional empowerment in Greece. Six dimensions of teacher professional empowerment were measured: decision making; professional development; professional status; autonomy; self-efficacy and impact. Data analysis revealed that teachers appear to be empowered as…
Descriptors: Foreign Countries, Elementary School Teachers, Teacher Empowerment, Teacher Attitudes
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