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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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Tyson, Will; Roksa, Josipa – Educational Researcher, 2017
Research on high school math course taking documents the advantages of starting high school at or beyond Algebra 1. Fewer studies examine differentiation into remedial, general, and honors Algebra 1 course types by course rigor. This study examines how course grades and course rigor are associated with math attainment among students with similar…
Descriptors: Grades (Scholastic), Mathematics Instruction, Student Placement, Remedial Instruction
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Krupa, Erin E.; Confrey, Jere – Journal of Curriculum Studies, 2017
This study compared the effects of an integrated reform-based curriculum to a subject-specific curriculum on student learning of 19,526 high school algebra students. Using hierarchical linear modelling to account for variation in student achievement, the impact of the reform-based "Core-Plus Mathematics" curricular materials on student…
Descriptors: Educational Change, Mathematics Curriculum, Academic Achievement, Integrated Curriculum
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Ndum, Edwin; Allen, Jeff; Way, Jason; Casillas, Alex – Journal of Advanced Academics, 2018
We examined the role of six psychosocial factors (PSFs) in explaining gender gaps in English Composition (n = 8,633) and College Algebra (n = 2,261) using data of first-year female (55%) and male students from 42 colleges. Using a multilevel model and controlling for prior achievement, we found that PSFs mediated between 3% and 41% of the gender…
Descriptors: College English, College Mathematics, Algebra, Hierarchical Linear Modeling
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Sadler, Philip; Sonnert, Gerhard – Journal for Research in Mathematics Education, 2018
This study addresses a longstanding question among high school mathematics teachers and college mathematics professors: Which is the best preparation for college calculus-- (a) a high level of mastery of mathematics considered preparatory for calculus (algebra, geometry, precalculus) or (b) taking calculus itself in high school? We used a data set…
Descriptors: Secondary School Mathematics, High School Students, Mathematics Instruction, Calculus
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Powell, Sarah R.; Fuchs, Lynn S.; Cirino, Paul T.; Fuchs, Douglas; Compton, Donald L.; Changas, Paul C. – Exceptional Children, 2015
The focus of the present study was enhancing word problem and calculation achievement in ways that support prealgebraic thinking among second-grade students at risk for mathematics difficulty. Intervention relied on a multitier support system (i.e., responsiveness to intervention, or RTI) in which at-risk students participate in general classroom…
Descriptors: Word Problems (Mathematics), Computation, Algebra, At Risk Students
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Irving, Karen E.; Pape, Stephen J.; Owens, Douglas T.; Abrahamson, Louis; Silver, David; Sanalan, Vehbi A. – Journal of Computers in Mathematics and Science Teaching, 2016
Findings from three years of a longitudinal randomized control trial involving a national U.S. sample of Algebra 1 teachers and students are reported. The study examines the effects of a connected classroom technology (CCT) professional development and classroom intervention on student achievement when compared to classroom instruction with…
Descriptors: Algebra, Mathematics Achievement, Longitudinal Studies, Randomized Controlled Trials
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Petty, Teresa; Wang, Chuang; Harbaugh, Adam P. – School Science and Mathematics, 2013
A variety of factors contributes to student achievement in mathematics, including but not limited to student behaviors and student, teacher, and school characteristics. The purpose of this study was to explore which of these factors have an impact on student mathematics achievement. The target population for this study was North Carolina Algebra…
Descriptors: Mathematics Achievement, Mathematics Instruction, Algebra, Secondary School Mathematics
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Chávez, Óscar; Tarr, James E.; Grouws, Douglas A.; Soria, Victor M. – International Journal of Science and Mathematics Education, 2015
We examined the effect of curriculum organization in US high schools where students could freely choose to study mathematics from textbooks that employed one of two types of content organization, an "integrated" approach or a (traditional) "subject-specific" approach. The study involved 2,242 high school students, enrolled in…
Descriptors: Mathematics Instruction, Mathematics Curriculum, High Schools, Textbooks
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Hegedus, Stephen; Tapper, John; Dalton, Sara; Sloane, Finbarr – Research in Mathematics Education, 2013
We describe the application of Hierarchical Linear Modelling (HLM) in a cluster-randomised study to examine learning algebraic concepts and procedures in an innovative, technology-rich environment in the US. HLM is applied to measure the impact of such treatment on learning and on contextual variables. We provide a detailed description of such…
Descriptors: Randomized Controlled Trials, Student Diversity, Hierarchical Linear Modeling, Algebra
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Grouws, Douglas A.; Tarr, James E.; Chavez, Oscar; Sears, Ruthmae; Soria, Victor M.; Taylan, Rukiye D. – Journal for Research in Mathematics Education, 2013
This study examined the effect of 2 types of mathematics content organization on high school students' mathematics learning while taking account of curriculum implementation and student prior achievement. Hierarchical linear modeling with 3 levels showed that students who studied from the integrated curriculum were significantly advantaged over…
Descriptors: Secondary School Mathematics, Curriculum Implementation, Integrated Curriculum, High School Students
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Raudenbush, Stephen W.; Reardon, Sean F.; Nomi, Takako – Journal of Research on Educational Effectiveness, 2012
Multisite trials can clarify the average impact of a new program and the heterogeneity of impacts across sites. Unfortunately, in many applications, compliance with treatment assignment is imperfect. For these applications, we propose an instrumental variable (IV) model with person-specific and site-specific random coefficients. Site-specific IV…
Descriptors: Program Evaluation, Statistical Analysis, Hierarchical Linear Modeling, Computation
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Fike, David S.; Fike, Renea – Community College Journal of Research and Practice, 2013
This study focused on assessing the relationship of class scheduling with student outcomes in Intermediate Algebra, the prerequisite course for College Algebra. Numerous studies of information processing theory and the spacing effect on learning have been conducted; they have produced mixed findings. Relatively few studies have been conducted to…
Descriptors: Community Colleges, Remedial Mathematics, Developmental Studies Programs, Mathematics Achievement
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Kelcey, Ben; Phelps, Geoffrey – Evaluation Review, 2013
Objectives: Group-randomized designs are well suited for studies of professional development because they can accommodate programs that are delivered to intact groups (e.g., schools), the collaborative nature of professional development, and extant teacher/school assignments. Though group designs may be theoretically favorable, prior evidence has…
Descriptors: Statistical Analysis, Research Design, Faculty Development, Sample Size