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No Child Left Behind Act 20012
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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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Weybright, Elizabeth H.; Caldwell, Linda L.; Xie, Hui; Wegner, Lisa; Smith, Edward A. – South African Journal of Education, 2017
Education is one of the strongest predictors of health worldwide. In South Africa, school dropout is a crisis where by Grade 12, only 52% of the age appropriate population remain enrolled. Survival analysis was used to identify the risk of dropping out of secondary school for male and female adolescents and examine the influence of substance use…
Descriptors: Foreign Countries, Predictor Variables, Predictive Measurement, Secondary School Students
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Daley, Samantha G.; Willett, John B.; Fischer, Kurt W. – Journal of Educational Psychology, 2014
This study investigated the relationship between emotional responses and reading performance in middle-school students. Although a large number of prior studies have investigated the relationship between emotion and reading, those studies have concentrated primarily on relatively static and distal measures of emotion. In this research, we measured…
Descriptors: Reading Comprehension, Emotional Response, Middle School Students, Grade 7
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Hofer, Manfred; Kuhnle, Claudia; Kilian, Britta; Fries, Stefan – Learning and Instruction, 2012
The predictive power of cognitive ability and self-control strength for self-reported grades and an achievement test were studied. It was expected that the variables use of time structure, academic procrastination, and motivational interference during learning further aid in predicting students' achievement because they are operative in situations…
Descriptors: Grades (Scholastic), Academic Achievement, At Risk Students, Achievement Tests
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Salzer, Christine; Trautwein, Ulrich; Ludtke, Oliver; Stamm, Margrit – Learning and Instruction, 2012
Little is known about the association of classroom characteristics with adolescent truancy. A critical question is whether high achievement standards, high workload, and fast pace protect against or increase adolescent truancy. In this study, self-reports from 3491 Swiss grade 7, grade 8 and grade 9 students in 202 classes were used to predict…
Descriptors: Foreign Countries, Truancy, High Achievement, Grade 9
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Cratty, Dorothyjean – Economics of Education Review, 2012
Nineteen percent of 1997-98 North Carolina 3rd graders were observed to drop out of high school. A series of logits predict probabilities of dropping out on determinants such as math and reading test scores, absenteeism, suspension, and retention, at the following grade levels: 3rd, 5th, 8th, and 9th. The same cohort and variables are used to…
Descriptors: At Risk Students, Dropouts, High School Students, Probability
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Hirschi, Andreas – International Journal for Educational and Vocational Guidance, 2010
The study investigated the predictive utility of interest profile differentiation, coherence, elevation, congruence, and vocational identity commitment and career maturity (career planning and exploration) on the 10-month interest stability of 292 Swiss eighth-grade students: profile, rank, and level stabilities were assessed. Controlling for…
Descriptors: Vocational Maturity, Career Planning, Vocational Interests, Profiles
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Kitmitto, Sami – National Center for Education Statistics, 2011
The National Center for Education Statistics (NCES) continues to be interested in addressing the issue identified by the Government Accountability Office (GAO). With the release of the 2009 National Assessment of Educational Progress (NAEP) reading and mathematics assessments, NCES again had the opportunity to measure the status and change in…
Descriptors: Inclusion, Disabilities, National Competency Tests, Methods
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
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Wood, Frank B.; Hill, Deborah F.; Meyer, Marianne S.; Flowers, D. Lynn – Annals of Dyslexia, 2005
Study 1 retrospectively analyzed neuropsychological and psychoeducational tests given to N = 220 first graders, with follow-up assessments in third and eighth grade. Four predictor constructs were derived: (1) Phonemic Awareness, (2) Picture Vocabulary, (3) Rapid Naming, and (4) Single Word Reading. Together, these accounted for 88%, 76%, 69%, and…
Descriptors: Predictive Measurement, Reading Fluency, Predictor Variables, Grade 1
Ikegulu, T. Nelson – Online Submission, 2004
Background: The overall goal of the No Child Left Behind Act (NCLB) of 2001 is to close, by the end of the 2013-2014 academic year, "the achievement gap between high- and low- performing students, especially the achievement gap between minority and non-minority students and, between disadvantaged children and their more advantaged peers"…
Descriptors: High Schools, Ethnicity, Middle Schools, Equal Education