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Jing Liu; Megan Kuhfeld; Monica Lee – Annenberg Institute for School Reform at Brown University, 2023
Noncognitive constructs such as self-efficacy, social awareness, and academic engagement are widely acknowledged as critical components of human capital, but systematic data collection on such skills in school systems is complicated by conceptual ambiguities, measurement challenges and resource constraints. This study addresses this issue by…
Descriptors: Student Behavior, Predictor Variables, Predictive Validity, Academic Achievement
Lombardi, Allison; Seburn, Mary; Conley, David – Online Submission, 2011
In this study, Don't Know/Not Applicable (DK/NA) responses on a measure of academic behaviors associated with college readiness for high school students were treated with: (a) casewise deletion, (b) scale inclusion at the lowest level, and (c) imputation using E/M algorithm. Significant differences in mean responses according to treatment…
Descriptors: Measures (Individuals), Readiness, Validity, High School Students
Yeager, David Scott; Krosnick, Jon A. – Developmental Psychology, 2011
A great deal of developmental research has relied on self-reports solicited using the "some/other" question format (""Some students" think that...but "other students" think that..."). This article reports tests of the assumptions underlying its use: that it conveys to adolescents that socially undesirable…
Descriptors: Adolescents, Accuracy, Questionnaires, Measurement Techniques
Zau, Andrew C.; Betts, Julian R. – Public Policy Institute of California, 2008
Many educators, parents, and policymakers continue to call for reforms to the California High School Exit Exam (CAHSEE), citing concern about the 10 percent of California students who do not graduate because of their failure to pass the test. By law, current funding for tutoring those at risk of failing the CAHSEE is targeted at those in grade 12…
Descriptors: Exit Examinations, Educational Change, High Schools, Grade Prediction
Wang, Jia; Niemi, David; Wang, Haiwen – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2007
The main goal of this report is to present evidence on the predictive validity of an English language arts (ELA) performance assessment (PA) administered in Grades 2-9 in a large urban school district. To account for the hierarchical structure of the data (students are nested within schools), we employed hierarchical linear modeling (HLM) to…
Descriptors: Urban Schools, Language Arts, Performance Based Assessment, Standardized Tests