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Showing 1 to 15 of 55 results Save | Export
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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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Peltier, Corey; Vannest, Kimberly J.; Tomaszewski, Brianne R.; Morin, Kristi; Sallese, Mary Rose; Pulos, Joshua M. – Exceptionality, 2022
The current study examined the criterion validity of a computer adaptive universal screener with an end-of-year state mathematics assessment using extant data provided by a local education agency. Participants included 1,195 third through eighth graders. Correlational analyses were used to report predictive and concurrent validity coefficients for…
Descriptors: Adaptive Testing, Computer Assisted Testing, Screening Tests, Mathematics Tests
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Domina, Thurston; Pharris-Ciurej, Nikolas; Penner, Andrew M.; Penner, Emily K.; Brummet, Quentin; Porter, Sonya R.; Sanabria, Tanya – Educational Researcher, 2018
Students in the United States whose household income is less than 130% of the poverty line qualify for free lunch, and students whose household income is between 130% and 185% of the poverty line qualify for reduced-price lunch. Education researchers and policymakers often use free and reduced-price lunch (FRPL) status to measure socioeconomic…
Descriptors: Lunch Programs, Educationally Disadvantaged, Low Income Students, Economically Disadvantaged
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Kontas, Hakki; Özpolat, Esen Turan – International Journal of Evaluation and Research in Education, 2017
The purpose of this study was to investigate exam scores' predicting Transition from Primary to Secondary Education (TEOG) exam scores. The research data were obtained from the records of 1035 students studying at the first term of eighth grade in 2015-2016 academic year in e-school system. The research was on relational screening model. Linear…
Descriptors: Scores, Prediction, Predictive Validity, School Readiness
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Liang, Jian-Hua; Heckman, Paul E.; Abedi, Jamal – Journal of Advanced Academics, 2018
This study examines the power of cognitive and noncognitive variables to predict students' performance in algebra. We investigated students' prior year's assessment scores and demographic characteristics to predict eighth-grade algebra scores. Using California statewide assessment data, we explored predictive factors in three regression models.…
Descriptors: Algebra, Grade 8, Predictor Variables, Prior Learning
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Wang, Yan; Kim, Eun Sook; Dedrick, Robert F.; Ferron, John M.; Tan, Tony – Educational and Psychological Measurement, 2018
Wording effects associated with positively and negatively worded items have been found in many scales. Such effects may threaten construct validity and introduce systematic bias in the interpretation of results. A variety of models have been applied to address wording effects, such as the correlated uniqueness model and the correlated traits and…
Descriptors: Test Items, Test Format, Correlation, Construct Validity
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Rahimi, Zahra; Litman, Diane; Correnti, Richard; Wang, Elaine; Matsumura, Lindsay Clare – International Journal of Artificial Intelligence in Education, 2017
This paper presents an investigation of score prediction based on natural language processing for two targeted constructs within analytic text-based writing: 1) students' effective use of evidence and, 2) their organization of ideas and evidence in support of their claim. With the long-term goal of producing feedback for students and teachers, we…
Descriptors: Scoring, Automation, Scoring Rubrics, Natural Language Processing
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Thomas, Almut E.; Mueller, Florian H. – Social Psychology of Education: An International Journal, 2017
In school classes students influence each other at conscious and subconscious levels and therefore, students' shared perceptions are considered meaningful for the development of the individual student. This article identified situations where students' class-average perceptions of autonomy support add to the predictive validity of students'…
Descriptors: Student Motivation, Student Attitudes, Personal Autonomy, Predictive Validity
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Northey, Mary; McCutchen, Deborah; Sanders, Elizabeth A. – Reading and Writing: An Interdisciplinary Journal, 2016
Morphological skills have previously been found to reliably predict reading skill, including word reading, vocabulary, and comprehension. However, less is known about how morphological skills might contribute to writing skill, aside from its well-documented role in the development of spelling. This correlational study examines whether…
Descriptors: Essays, Childrens Writing, Morphology (Languages), Writing Skills
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Lee, Jihyun; Chen, Minge – EURASIA Journal of Mathematics, Science and Technology Education, 2019
This study presents empirical findings demonstrating predictive validities of noncognitive variables for mathematics achievement among primary and secondary school students from cross-country perspectives. Results based on TIMSS 2015 assessment showed that confidence was a moderately strong predictor of mathematics achievement in all TIMSS…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Mathematics Tests
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Anselmo, Giancarlo A.; Yarbrough, Jamie L.; Kovaleski, Joseph F.; Tran, Vi N. – Psychology in the Schools, 2017
This study analyzed the relationship between benchmark scores from two curriculum-based measurement probes in mathematics (M-CBM) and student performance on a state-mandated high-stakes test. Participants were 298 students enrolled in grades 7 and 8 in a rural southeastern school. Specifically, we calculated the criterion-related and predictive…
Descriptors: Curriculum Based Assessment, Scores, High Stakes Tests, Screening Tests
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Callan, Gregory L.; Cleary, Timothy J. – School Psychology Quarterly, 2018
This study examined the convergent and predictive validity of self-regulated learning (SRL) measures situated in mathematics. The sample included 100 eighth graders from a diverse, urban school district. Four measurement formats were examined including, 2 broad-based (i.e., self-report questionnaire and teacher ratings) and 2 task-specific…
Descriptors: Secondary School Mathematics, Middle School Students, Independent Study, Predictive Validity
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Codding, Robin S.; Mercer, Sterett; Connell, James; Fiorello, Catherine; Kleinert, Whitney – School Psychology Review, 2016
There is a paucity of evidence supporting the use of curriculum-based mathematics measures (M-CBMs) at the middle school level, which makes data-based decisions challenging for school professionals. The purpose of this study was to examine the relationships among three existing M-CBM indices: (a) basic facts, (b) concepts/application, and (c)…
Descriptors: Curriculum Based Assessment, Mathematics Tests, Middle School Students, Mathematical Concepts
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Fick, Sarah J.; Songer, Nancy Butler – Journal of Education in Science, Environment and Health, 2017
Recent reforms emphasize a shift in how students should learn and demonstrate knowledge of science. These reforms call for students to learn content knowledge using science and engineering practices, creating integrated science knowledge. While there is existing literature about the development of integrated science knowledge assessments, few…
Descriptors: Climate, Middle School Students, Integrated Activities, Scientific Literacy
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Stevenson, Nathan A.; Reed, Deborah K.; Tighe, Elizabeth L. – Psychology in the Schools, 2016
To provide timely and effective supports for students reading below grade level, schools require methods for quickly and accurately identifying those students in need. One method for identifying those students is through universal screening. Assessments such as oral reading fluency (ORF) and Maze reading comprehension are commonly used as…
Descriptors: Special Education, Middle School Students, Socioeconomic Status, Oral Reading
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