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Margaret K. Wallace; Jason Jabbari; Yung Chun; Takeshi Terada; Somalis Chy – Annenberg Institute for School Reform at Brown University, 2025
Student mobility that occurs within a school year may be especially disruptive for student outcomes, yet little is known regarding the predictors of within-year mobility. In particular, research has yet to comprehensively examine the role of student achievement in predicting within-year student mobility. Thus, we sought to understand this link by…
Descriptors: Elementary School Students, Middle School Students, Student Mobility, Mathematics Achievement
Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Alkharusi, Hussain – Electronic Journal of Research in Educational Psychology, 2016
Introduction: Students are daily exposed to a variety of assessment tasks in the classroom. It has long been recognized that students' perceptions of the assessment tasks may influence student academic achievement. The present study aimed at predicting academic achievement in mathematics from perceptions of the assessment tasks after controlling…
Descriptors: Academic Achievement, Predictive Measurement, Predictor Variables, Learning Strategies
West, Stephen G.; Hughes, Jan N.; Kim, Han Joe; Bauer, Shelby S. – Educational Measurement: Issues and Practice, 2019
The Motivation for Educational Attainment (MEA) questionnaire, developed to assess facets related to early adolescents' motivation to complete high school, has a bifactor structure with a large general factor and three smaller orthogonal specific factors (teacher expectations, peer aspirations, value of education). This prospective validity study…
Descriptors: Student Motivation, Educational Attainment, Questionnaires, Adolescent Attitudes
Deering, Pamela Rose – ProQuest LLC, 2014
This research compares and contrasts two approaches to predictive analysis of three years' of school district data to investigate relationships between student and teacher characteristics and math achievement as measured by the state-mandated Maryland School Assessment mathematics exam. The sample for the study consisted of 3,514 students taught…
Descriptors: Comparative Analysis, Multiple Regression Analysis, Hierarchical Linear Modeling, Mathematics Achievement
Singh, Malkeet – Journal of Educational Research, 2015
Closing the achievement gap in public education is a worthy goal that has been included as a top priority in the No Child Left Behind Act of 2001 (2002). This study analyzed the most salient predictors at the student and school levels to identify their long-term impact on mathematics achievement from the elementary grades to high school. The…
Descriptors: Socioeconomic Influences, Achievement Gap, Public Education, Mathematics Achievement
Flores, Raymond; Inan, Fethi; Lin, Zhangxi – Journal of Computers in Mathematics and Science Teaching, 2013
In this study, the National Educational Longitudinal Study (ELS:2002) dataset was used and a predictive data mining technique, decision tree analysis, was implemented in order to examine which factors, in conjunction to computer use, can be used to predict high or low probability of success in high school mathematics. Specifically, this study…
Descriptors: Educational Technology, Computer Uses in Education, Longitudinal Studies, Predictor Variables
Gullie, Kathy A. – ProQuest LLC, 2011
This study investigated the predictive ability of students' responses to open-ended, constructed/extended questions in third and fourth grade mathematics content subcategories on subsequent fifth grade mathematics achievement proficiency levels. Open-ended, extended/constructed response questions reflected content as outlined by the National…
Descriptors: Mathematics Curriculum, Instructional Design, Mathematics Education, Formative Evaluation
Cheema, Jehanzeb R.; Zhang, Bo – International Journal of Education and Development using Information and Communication Technology, 2013
This study looked at the effect of both quantity and quality of computer use on achievement. The Program for International Student Assessment (PISA) 2003 student survey comprising of 4,356 students (boys, n = 2,129; girls, n = 2,227) was used to predict academic achievement from quantity and quality of computer use while controlling for…
Descriptors: Academic Achievement, Computer Use, Educational Quality, Incidence
Zeidenberg, Matthew; Jenkins, Davis; Scott, Marc A. – Community College Research Center, Columbia University, 2012
Discussions of the barriers to completion in community colleges have largely focused on student success in introductory college-level math and English courses, and rightfully so, since these courses are typically required for degrees. However, there is a much broader range of courses that also serve as "gatekeepers" in the sense that they are…
Descriptors: Grade Point Average, Introductory Courses, Community Colleges, Barriers
Marnewick, Carl – Educational Studies, 2012
First-year students are still failing at an alarming rate. This is an international issue that universities face and there is currently no clear indication of the cause of the problem as universities move from being elite to providing mass education. This article examines the possible correlation between students' high school performance and…
Descriptors: Academic Achievement, Admission Criteria, Correlation, Mathematics Achievement
Hemmings, Brian; Kay, Russell – Australian Educational Researcher, 2010
A sample of Australian secondary school students was used to explore the relationships among a set of standardised Year 7 numeracy and literacy tests, measures taken at Year 10 of mathematics attitude and schoolwork effort, and Mathematics and English scores in a state-wide Year 10 examination. Additionally, the predictive capacity of the numeracy…
Descriptors: Student Attitudes, Numeracy, Correlation, Case Studies
Roane, Warren – Online Submission, 2010
The Texas Projection Measure (TPM) has grown out of the state's need to meet the requirements of No Child Left Behind (NCLB). An examination of the state's method of predicting 8th grade mathematics scores reveals that several factors have been ignored in the process of developing the model, including assumptions in its underlying statistical…
Descriptors: Federal Legislation, Statistical Analysis, Grade 8, Predictive Measurement
Froman, Terry; Rubiera, Vilma – Research Services, Miami-Dade County Public Schools, 2007
Although students have been taking the Florida Comprehensive Assessment Test (FCAT) Science test for a few years, the State included the performance on the Science test in the school grade calculations for the first time in 2006-07. Although no official guidelines exist presently, the Science scores may also be incorporated in the NCLB Adequately…
Descriptors: Prediction, Science Tests, Mathematics Tests, Mathematics Achievement
Hartman, Jayne – Florida Educational Research Council Research Bulletin, 1989
In the State of Florida, the percentage of tenth grade students passing the Statewide Student Assessment Test-Part II (SSAT-II) Mathematics has declined one or two percentage points each year since 1985. Early, accurate identification and placement of these students for remedial instruction should help reverse this Florida trend. Accurate…
Descriptors: At Risk Persons, High Risk Students, Mathematics Achievement, Mathematics Education
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