Abstract
The purpose of this study was to explore the relationship between student performance on Reading Curriculum-based Measures (R-CBM) and student performance on the Alaska's standards based assessment (SBA) administered to students in Studied School District (SSD) Grade 3 through Grade 5 students in the Studied School District as required by Alaska's accountability system. The 2 research questions were: (a) To what extent, if at all, is there a relationship between student performance on the R-CBM tools administered in Grades 3, 4, and 5 in the fall, winter, and spring and student performance on the Alaska SBA administered in the spring of the same school year in the SSD? (b) To what extent, if at all, can cut scores be derived for each of the 3 R-CBM testing windows in the fall, winter, and spring that predict success on the Alaska SBA administered in the spring of the same school year in the SSD? The Study School District (SSD) served approximately 9,500 students, with 14% of students eligible for special education services. The enrollment was 81% Caucasian, 10% Alaska Native, 3% Hispanic, 3% multiethnic, and 4% as the total of American Indian, Asian, Black, and Native Hawaiian/Pacific Islander. The sample was 3rd (n = 472), 4th (n = 435), and 5th (n = 517) graders and consisted of all students with an Alaska SBA score and an R-CBM score for each of the 3 administrations of the R-CBM used in the 2009-2010 (FY10) and 2010-2011 (FY11) years. Pearson correlations were significant between R-CBM scores across 3rd, 4th, and 5th grades and the same grade Alaska SBA scores for FY10 data, r = .689 to r = .728, p < .01. A test of the full model with R-CBM as predictor against a constant-only model was statistically reliable, p < .001. The R-CBM reliably distinguished between passing and failing the Alaska SBA for students in Grades 3 through 5. Criterion validity of the cut scores was ascertained by applying scores to the FY11 data and yielded adequate levels of sensitivity from 49% to 88% while specificity levels ranged from 89% to 97%.
Library of Congress Subject Headings
Dissertations (EdD) -- Educational leadership, administration, and policy; Education, Elementary -- Alaska -- Evaluation; Educational evaluation -- Alaska; Educational tests and measurements -- Alaska
Date of Award
2013
School Affiliation
Graduate School of Education and Psychology
Department/Program
Education
Degree Type
Dissertation
Degree Name
Doctorate
Faculty Advisor
Vodicka, Devin;
Recommended Citation
Legg, David E., "The utility of curriculum-based measurement within a multitiered framework: establishing cut scores as predictors of student performance on the Alaska standards-based assessment" (2013). Theses and Dissertations. 328.
https://digitalcommons.pepperdine.edu/etd/328