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Lamb, Lindsay M. – Online Submission, 2017
This report analyzes the psychometric properties of the revised school-level SEL implementation rubric and the SEL specialists' activity log.
Descriptors: School Districts, Social Emotional Learning, Program Implementation, Elementary Schools
Burke, Mack D.; Davis, John L.; Lee, Yuan-Hsuan; Hagan-Burke, Shanna; Kwok, Oi-man; Sugai, George – Journal of Emotional and Behavioral Disorders, 2012
In this study, the authors examined the concurrent validity, predictive validity, and concurrent and predictive classification accuracy of using schoolwide behavior expectations as a universal behavioral screener. Three elementary schools implementing schoolwide positive behavior supports (SWPBS) participated. Within each school, the entire school…
Descriptors: Behavior Problems, Elementary Schools, Elementary School Students, Student Behavior
Jones, Brent M. – NCSSSMST Journal, 2011
Seventeen state-sponsored residential math and science schools have been created across the country to direct talented teens toward STEM careers. Admission is selective, based on competitive grades, standardized test scores, and references. Most of the schools also require preadmission interviews. However, selection interviews may be challenged as…
Descriptors: State Schools, Standardized Tests, Validity, Interviews
Nelson, Jason M. – Assessment for Effective Intervention, 2009
This study investigated the psychometric properties of the kindergarten Texas Primary Reading Inventory (TPRI; Texas Education Agency and the University of Texas System, 2004-2006) Mid-Year screeners with a sample of 180 students. The TPRI screeners were designed to determine which students are not at risk for later reading failure. Results…
Descriptors: Early Reading, Reading Failure, Test Validity, Predictive Validity
Velazquez, Cesareo Morales – Computers in the Schools, 2008
Data from Mexico City, Mexico (N = 978) and from Texas, USA (N = 932) were used to test the predictive validity of the teacher professional development component of the Will, Skill, Tool Model of Technology Integration in a cross-cultural context. Structural equation modeling (SEM) was used to test the model. Analyses of these data yielded…
Descriptors: Structural Equation Models, Technology Integration, Predictive Validity, Foreign Countries
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
Chard, David J.; Stoolmiller, Mike; Harn, Beth A.; Wanzek, Jeanne; Vaughn, Sharon; Linan-Thompson, Sylvia; Kame'enui, Edward J. – Journal of Learning Disabilities, 2008
Despite recent research findings that implicate a long list of student variables that predict reading success or failure, these predictor variables have not been considered in the context of contemporary models of multitiered schoolwide reading intervention. This longitudinal, retrospective study follows 668 kindergarten and first-grade students…
Descriptors: Reading Difficulties, Reading Fluency, Standardized Tests, Predictor Variables
Williams, Ashley; Bell, Sherry Mee – Journal of Psychoeducational Assessment, 2005
With the recently passed Individuals with Disabilities Education Act (2004), federal law encourages monitoring student progress and gauging responsiveness to instruction. The Test of Silent Word Reading Fluency (TOSWRF; Mather, Hammill, Allen, & Roberts, 2004) is a group-administered test that holds promise for monitoring student progress.…
Descriptors: Reading Comprehension, Reading Difficulties, Silent Reading, Reading Fluency