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Showing 1 to 15 of 34 results Save | Export
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Kimberly Dwyer; Angela M. Kelly – Journal for Research in Mathematics Education, 2025
This quantitative correlational study examines school-level longitudinal outcomes of eighth-grade algebra universal acceleration in 15 U.S. school districts when compared with selective acceleration in 289 school districts. Universally accelerated school districts had higher enrollments, with large effect sizes, in geometry, algebra 2, and…
Descriptors: Algebra, Grade 8, Mathematics Instruction, Acceleration (Education)
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Lim, Hyo Jin; Lee, Sora – Journal of Psychoeducational Assessment, 2023
This study investigates how sensitively the current grit measure (Grit-S) is able to reflect the differences between individuals (i.e. item discrimination) and change within individuals (i.e. sensitivity to change of items) using longitudinal data. Data from the Korean Children and Youth Panel Study 2018 of elementary (fourth grade) and middle…
Descriptors: Individual Differences, Change, Elementary School Students, Middle School Students
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Christopher Cleveland; Ethan Scherer – Educational Researcher, 2025
Education leaders need valid metrics to predict students' long-term success. We use a unique data set with cognitive skills, self-regulation, behavior, course performance, and test scores for eighth-grade students from a Northeast school district. We link these data to students' high school outcomes, college enrollment, persistence, and on-time…
Descriptors: Middle School Students, Grade 8, Student Surveys, Self Evaluation (Individuals)
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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
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Bae, Christine L.; DeBusk-Lane, Morgan; Hayes, Kathryn N.; Zhang, Fa – Research in Science Education, 2021
The purpose of this study was to develop and validate a survey of opportunities to participate (OtP) in science that will allow educators and researchers to closely approximate the types of learning opportunities students have in science classrooms. Additionally, we examined whether and how opportunity gaps in science learning may exist across…
Descriptors: Science Education, Socioeconomic Status, Longitudinal Studies, Educational Opportunities
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Seetee, Navara; Chi, Chi; Dhir, Amandeep; Chen, Sufen – International Journal of Science and Mathematics Education, 2021
Motivation for an action is determined by the expectation for success and subjective judgment on task values according to the expectancy-value theory. Task values, including intrinsic value, attainment value, utility value, and cost, influence and predict the students' engagement in learning activities and their choices in the future. This study…
Descriptors: Test Validity, Attitude Measures, Student Attitudes, Sciences
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Goodwin, Amanda; Petscher, Yaacov; Tock, Jamie – Journal of Research in Reading, 2021
Background: Middle school students use the information conveyed by morphemes (i.e., units of meaning such as prefixes, root words and suffixes) in different ways to support their literacy endeavours, suggesting the likelihood that morphological knowledge is multidimensional. This has important implications for assessment. Methods: The current…
Descriptors: Middle School Students, Morphology (Languages), Metalinguistics, Student Evaluation
Emma Armstrong-Carter; Kathy T. Do; Joao F. Guassi Moreira; Mitchell J. Prinstein; Eva H. Telzer – Grantee Submission, 2021
Introduction: This longitudinal study designed and tested the validity of a new measure of pro-social risk taking -- risks that individuals take in order to help others. Methods: The sample was racially and ethnically diverse adolescents in the rural Southeastern United States (N = 867; Mage = 12.82 years, 10-14 years at Wave 1; 50% Girls, 33%…
Descriptors: Race, Ethnicity, Goodness of Fit, Factor Analysis
Goodwin, Amanda P.; Petscher, Yaacov; Tock, Jamie – Grantee Submission, 2021
Background: Middle school students use the information conveyed by morphemes (i.e., units of meaning such as prefixes, root words and suffixes) in different ways to support their literacy endeavours, suggesting the likelihood that morphological knowledge is multidimensional. This has important implications for assessment. Methods: The current…
Descriptors: Morphology (Languages), Morphemes, Middle School Students, Knowledge Level
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Mastrotheodoros, Stefanos; Pavlopoulos, Vassilis; Motti-Stefanidi, Frosso – European Journal of Developmental Psychology, 2021
The Utrecht-Management of Identity Commitments Scale (U-MICS) is one of the most-commonly used self-report scales to assess personal identity in studies of developmental processes. While it has been translated and validated in many countries around the world, evidence of its applicability in Greek is absent. The purpose of this study was to…
Descriptors: Self Concept Measures, Factor Structure, Self Concept, Developmental Stages
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
Part II of the Houston Longitudinal Study on the Transition to College and Work (HLS) examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston Independent School District (HISD) and tracked two…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
This report examined three potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college: (1) Chicago: Designed to predict high school graduation; based on earning six course credits--the minimum to advance to the next grade in HISD--and having at most one semester…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
These are the appendices for "Transitioning to College and Work. Part 2: A Study of Potential Enrollment Indicators," which examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
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Auphan, Pauline; Ecalle, Jean; Magnan, Annie – European Journal of Psychology of Education, 2019
Reading difficulties in school are very challenging for teachers due to many different reader subtypes in one and the same class. Moreover, there are few easy-to-use tools enabling teachers to assess reading ability. According to the Simple View of Reading (Hoover and Gough in "Reading and Writing", 2(2), 127-160, 1990), efficient…
Descriptors: Reading Difficulties, Computer Assisted Testing, Reading Tests, Reading Comprehension
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Atteberry, Allison; Mangan, Daniel – Educational Researcher, 2020
Papay (2011) noticed that teacher value-added measures (VAMs) from a statistical model using the most common pre/post testing timeframe--current-year spring relative to previous spring (SS)--are essentially unrelated to those same teachers' VAMs when instead using next-fall relative to current-fall (FF). This is concerning since this choice--made…
Descriptors: Correlation, Value Added Models, Pretests Posttests, Decision Making
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