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Bachner, Jennifer; O'Byrne, Sarah – Journal of Political Science Education, 2021
At both the undergraduate and graduate level, an increasing number of students are completing their coursework online or in hybrid formats. As online learning grows and evolves, and new teaching tools emerge, it is useful to review approaches for effective teaching in this modality. This paper focuses, in particular, on proven tools in online…
Descriptors: Mathematics Skills, Statistical Analysis, Online Courses, Instructional Effectiveness
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Ilgun Dibek, Munevver – International Journal of Educational Methodology, 2021
Response times are one of the important sources that provide information about the performance of individuals during a test process. The main purpose of this study is to show that survival models can be used in educational data. Accordingly, data sets of items measuring literacy, numeracy and problem-solving skills of the countries participating…
Descriptors: Reaction Time, Test Items, Adults, Foreign Countries
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Soland, James; Thum, Yeow Meng – Journal of Research on Educational Effectiveness, 2022
Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…
Descriptors: Academic Achievement, Longitudinal Studies, Data Use, Computation
Christian T. Doabler; Ben Clarke; Derek Kosty; Marah Sutherland; Jessica E. Turtura; Allison R. Firestone; Georgia L. Kimmel; Patrick Brott; Tasia L. Brafford; Nancy J. Nelson Fien; Keith Smolkowski; Kathleen Jungjohann – Grantee Submission, 2022
Measurement and statistical investigation are areas of mathematics visibly neglected in educational intervention research, particularly studies involving students with or at risk for mathematics difficulties (MD). This shortage is concerning given the importance these areas hold in students' pursuit of mathematical proficiency. This study…
Descriptors: Measurement, Statistical Analysis, Grade 2, Elementary School Students
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Christian T. Doabler; Ben Clarke; Derek Kosty; Marah Sutherland; Jessica E. Turtura; Allison R. Firestone; Georgia L. Kimmel; Patrick Brott; Tasia L. Brafford; Nancy J. Nelson Fien; Keith Smolkowski; Kathleen Jungjohann – Journal of Educational Psychology, 2022
Measurement and statistical investigation are areas of mathematics visibly neglected in educational intervention research, particularly studies involving students with or at risk for mathematics difficulties (MD). This shortage is concerning given the importance these areas hold in students' pursuit of mathematical proficiency. This study…
Descriptors: Measurement, Statistical Analysis, Grade 2, Elementary School Students
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Lindsay M. Fallon; Emily R. DeFouw; Sadie C. Cathcart; Talia S. Berkman; Patrick Robinson-Link; Breda V. O'Keeffe; George Sugai – Journal of Behavioral Education, 2022
School discipline disproportionality has long been documented in educational research, primarily impacting Black/African American and non-White Hispanic/Latinx students. In response, federal policymakers have encouraged educators to change their disciplinary practice, emphasizing that more proactive support is critical to promoting students'…
Descriptors: Discipline, Student Behavior, Behavior Modification, Social Development
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Anyon, Yolanda; Wiley, Kathryn; Samimi, Ceema; Trujillo, Miguel – Race, Ethnicity and Education, 2023
Although in-school suspensions may be viewed as less severe than out-of-school suspensions, both discipline consequences limit students' access to learning opportunities and are negatively associated with a range of educational outcomes. Moreover, if sending students out of class perpetuates the same racial disparities as sending them home, this…
Descriptors: Suspension, Racism, Critical Race Theory, Discipline
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Harring, Jeffrey R.; Johnson, Tessa L. – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Jeffrey Harring and Ms. Tessa Johnson introduce the linear mixed effects (LME) model as a flexible general framework for simultaneously modeling continuous repeated measures data with a scientifically defensible function that adequately summarizes both individual change as well as the average response. The module…
Descriptors: Educational Assessment, Data Analysis, Longitudinal Studies, Case Studies
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Arnold, Pip; Pfannkuch, Maxine – set: Research Information for Teachers, 2020
Statistical investigations, a thread within the statistics strand of the mathematics and statistics learning area (Ministry of Education, 2007), are underpinned by the statistical enquiry cycle. As teachers introduce their students to the statistical enquiry cycle, they are supporting their students to become data detectives, posing and answering…
Descriptors: Novices, Statistics, Active Learning, Inquiry
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Wu, Huang; Gao, Xingyuan; Shen, Jianping – Educational Studies, 2020
This study examines the relationship between principals' leadership and student achievement. Based on the Programme for International Student Assessment (PISA) 2015 United States data, a two-level hierarchical linear model (HLM) with students nested within principals and schools was applied. The findings showed (a) that principals' rating of their…
Descriptors: Principals, Leadership, Academic Achievement, Statistical Analysis
Popkewitz, Thomas S., Ed.; Pettersson, Daniel, Ed.; Hsiao, Kai-Jung, Ed. – Routledge Research in International and Comparative Education, 2020
The book brings together contributions from curriculum history, cultural studies, visual cultures, and science and technology studies to explore the international mobilizations of the sciences related to education during the post-World War Two years. Crossing the boundaries of education and science studies, it uniquely examines how the desires of…
Descriptors: Educational History, Global Approach, Higher Education, Educational Research
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National Center for Education Statistics, 2020
This document provides tables underlying figures in "Education, Employment, and Earnings: Expectations of 2009 Ninth-Graders in 2016" and describes the survey methodology, sources of error in estimates, response rates and nonresponse bias, and statistical procedures for the Statistics in Brief report "Education, Employment, and…
Descriptors: Expectation, Educational Attainment, Employment, Income
Cooper, Harris – APA Books, 2020
This book offers practical guidance for understanding and implementing APA Style Journal Article Reporting Standards (JARS) and Meta-Analysis Reporting Standards (MARS) for quantitative research. These standards provide the essential information researchers need to report, including detailed accounts of the methods they followed, data results and…
Descriptors: Journal Articles, Professional Associations, Writing for Publication, Meta Analysis
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Solanki, Ramkrishna S.; Singh, Housila P. – Sociological Methods & Research, 2016
In this article, first we obtained the correct mean square error expression of Gupta and Shabbir's linear weighted estimator of the ratio of two population proportions. Later we suggested the general class of ratio estimators of two population proportions. The usual ratio estimator, Wynn-type estimator, Singh, Singh, and Kaur difference-type…
Descriptors: Computation, Mathematical Concepts, Generalization, Statistical Analysis
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Devlieger, Ines; Talloen, Wouter; Rosseel, Yves – Educational and Psychological Measurement, 2019
Factor score regression (FSR) is a popular alternative for structural equation modeling. Naively applying FSR induces bias for the estimators of the regression coefficients. Croon proposed a method to correct for this bias. Next to estimating effects without bias, interest often lies in inference of regression coefficients or in the fit of the…
Descriptors: Regression (Statistics), Computation, Goodness of Fit, Statistical Inference
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