دورية أكاديمية
Comparing Curriculum-Based Measures and Extant Datasets for Universal Screening in Middle School Reading
| العنوان: | Comparing Curriculum-Based Measures and Extant Datasets for Universal Screening in Middle School Reading |
|---|---|
| اللغة: | English |
| المؤلفون: | Stevenson, Nathan A. |
| المصدر: | Assessment for Effective Intervention. Sep 2017 42(4):195-208. |
| الإتاحة: | SAGE Publications and Hammill Institute on Disabilities. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.comTest |
| تمت مراجعته من قبل الزملاء: | Y |
| Page Count: | 14 |
| تاريخ النشر: | 2017 |
| نوع الوثيقة: | Journal Articles Reports - Research |
| Education Level: | Middle Schools |
| الواصفات: | Curriculum Based Assessment, Screening Tests, Comparative Analysis, Middle School Students, Grade 7, Grade 8, Reading Tests, At Risk Students, Data Analysis, Accuracy, Reliability, Identification, Regression (Statistics), Achievement Tests |
| مصطلحات جغرافية: | Michigan |
| DOI: | 10.1177/1534508417690399 |
| تدمد: | 1534-5084 |
| مستخلص: | As a school-wide framework, Multi-Tiered Systems of Support (MTSS) relies on the prevention and early identification of students at risk of academic failure. Approaches to early identification of students in need of support include the administration of universal screening assessments and the analysis of existing student data such as attendance, grades, office discipline referrals, and prior performance on statewide assessments. However, there is little research that directly compares the accuracy and reliability of these approaches, particularly in middle grades. This investigation provides a direct comparison of curriculum-based measures in reading and the examination of archival data at the middle school level for the identification of students at risk for academic failure. Data were collected for students in Grades 7 (n = 197) and 8 (n = 237). Data were analyzed through hierarchical logistic regression using statewide reading achievement tests as the dependent variable. Results inform how data from universal screening assessments and existing sources can be used to accurately and efficiently identify students in need of academic support. |
| Abstractor: | As Provided |
| Number of References: | 39 |
| Entry Date: | 2017 |
| رقم الانضمام: | EJ1151224 |
| قاعدة البيانات: | ERIC |
| تدمد: | 1534-5084 |
|---|---|
| DOI: | 10.1177/1534508417690399 |