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Robert Meyer; Tracy Diel; Rinor Jahiu; Hayley Tymeson – Society for Research on Educational Effectiveness, 2023
Background: This paper considers a new policy and statistical framework for evaluating K-12 schools and policies that aligns with diversity, equity, and inclusion values. The new approach broadens the standard approach to accountability and evaluation by combining features of evaluation and multi-level growth models with approaches used in systems…
Descriptors: Accountability, Inclusion, Diversity, Equal Education
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Chiu, Ming Ming – Journal of Learning Analytics, 2018
Learning analysts often consider whether learning processes across time are related (1) to one another or (2) to learning outcomes at higher levels. For example, are a group's temporal sequences of talk (e.g., correct evaluation [right arrow] correct, new idea) during its problem solving related to its group solution? I show how to address these…
Descriptors: Statistical Analysis, Models, Data Analysis, Regression (Statistics)
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El-khateeb, Mahmoud M. A. – Journal of Education and Learning, 2015
The purpose of this study was to investigate the misperceptions and performance of king Saud University students' about concept and finding the limit of same partial functions given in the form of both graphical and symbolic. In the collection of the data, the researcher employed the open-ended question test consisted of four items. Firstly,…
Descriptors: Foreign Countries, College Students, Student Attitudes, Misconceptions
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Caglayan, Günhan – Journal of Mathematics Teacher Education, 2013
This study is about prospective secondary mathematics teachers' understanding and sense making of representational quantities generated by algebra tiles, the quantitative units (linear vs. areal) inherent in the nature of these quantities, and the quantitative addition and multiplication operations--referent preserving versus referent…
Descriptors: Preservice Teachers, Secondary School Teachers, Mathematics Teachers, Mathematical Concepts
Bruce-Simmons, Christine – ProQuest LLC, 2013
This study examined the impact of computer-assisted instruction on the mathematics performance of underachieving fifth-grade students in a rural school district in South Carolina. The instructional technology program ([IF) is South Carolina's response to addressing the needs of its young, struggling math students. The 449 fifth-grade students in…
Descriptors: Computer Assisted Instruction, Mathematics Instruction, Mathematics Achievement, Underachievement
Anderson, Lezley Barker – ProQuest LLC, 2013
The purpose of this causal-comparative study was to examine whether differences exist in the mathematics achievement of fifth grade gifted students based on the instructional delivery model used for mathematics instruction, cluster or collaborative, as defined by the Georgia Department of Education. The content area of mathematics, an area…
Descriptors: Comparative Analysis, Grade 5, Elementary School Students, Academically Gifted
Howard, Nanci Elizabeth – ProQuest LLC, 2010
This causal-comparative study investigates the differences in the End of Course Examination Program (EOCEP) test scores of ninth grade students in English I and Algebra I/Math for the technologies, as influenced by schedules used in South Carolina public high schools during the 2005-2006 academic year. Framing this study is the previous…
Descriptors: Scheduling, Research Methodology, Statistical Analysis, Grade 9
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Yuan, Ke-Hai – Multivariate Behavioral Research, 2008
In the literature of mean and covariance structure analysis, noncentral chi-square distribution is commonly used to describe the behavior of the likelihood ratio (LR) statistic under alternative hypothesis. Due to the inaccessibility of the rather technical literature for the distribution of the LR statistic, it is widely believed that the…
Descriptors: Monte Carlo Methods, Graduate Students, Social Sciences, Data Analysis
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Gordon, Sheldon P. – MathAMATYC Educator, 2009
Each year, well over a million students take college algebra and related courses. Very few of these students take the courses to prepare for calculus, but rather because they are required by other disciplines or to fulfill Gen Ed requirements. The present article discusses what the current mathematical needs are in most of those disciplines,…
Descriptors: Social Sciences, Laboratories, Biological Sciences, Calculus
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Lingoes, James C. – Psychometrika, 1971
Descriptors: Algebra, Data Analysis, Geometric Concepts, Mathematical Models
Barnes, Shontier Prescott – ProQuest LLC, 2009
The primary purpose of this study was to examine significant differences, if any, in student achievement in the area of math and science of students taught by traditionally certified teachers and alternatively certified teachers. This study examined alternatively certified teachers, as identified from through the Georgia TAPP (Teacher Alternative…
Descriptors: Teacher Education, Academic Achievement, Rural Schools, Secondary Education
Edwards, Keith J. – 1971
This paper, a revision of the original document, "Correcting Partial, Multiple, and Canonical Correlations for Attenuation" (see TM 000 535), presents the formula for correcting coefficients of partial correlation for attenuation due to errors of measurement. In addition, the correction for attenuation formulas for multiple and cannonical…
Descriptors: Algebra, Analysis of Variance, Correlation, Data Analysis
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
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Long, Jeffrey D.; Pellegrini, Anthony D. – School Psychology Review, 2003
It is argued that studies of early adolescent peer victimization and bullying should be longitudinal because of the dynamism of this developmental period. Traditional methods for analyzing longitudinal data are inadequate because of the strict data requirements and inflexibility of models. A better alternative is linear mixed models (LMMs) for…
Descriptors: Bullying, Early Adolescents, Peer Relationship, Data Analysis
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection