Less than Four Domains: Creating an Overall Composite Score as an Indicator of English Language Proficiency for English Learners with 504 or Individualized Education Plans. WCER Working Paper No. 2019-3
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| Title: | Less than Four Domains: Creating an Overall Composite Score as an Indicator of English Language Proficiency for English Learners with 504 or Individualized Education Plans. WCER Working Paper No. 2019-3 |
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| Language: | English |
| Authors: | Porter, Tameka, Cook, H. Gary, Sahakyan, Narek, University of Wisconsin-Madison, Wisconsin Center for Education Research (WCER) |
| Source: | Wisconsin Center for Education Research. 2019. |
| Availability: | Wisconsin Center for Education Research. School of Education, University of Wisconsin-Madison, 1025 West Johnson Street Suite 785, Madison, WI 53706. Tel: 608-263-4200; Fax: 608-263-6448; e-mail: uw-wcer@education.wisc.edu; Web site: https://www.wcer.wisc.edu/ |
| Peer Reviewed: | N |
| Page Count: | 16 |
| Publication Date: | 2019 |
| Document Type: | Reports - Descriptive |
| Education Level: | Elementary Secondary Education |
| Descriptors: | English (Second Language), Second Language Learning, Accountability, English Language Learners, Guidelines, Scores, Language Proficiency, Individualized Education Programs, Models, Educational Indicators, Academic Achievement, Language Tests, Standard Setting, Elementary Secondary Education, Federal Legislation, Second Language Programs |
| Laws, Policies and Program Identifiers: | Every Student Succeeds Act 2015 |
| Abstract: | The authors illustrate models and procedures that can be applied to calculate overall composite scores in order to identify an indicator of English language proficiency, based on composite scores for English learners with 504 or individualized education plans who are missing one or more domain scores on the Assessing Comprehension and Communication in English State-to-State for English Language Learners assessment for state monitoring, achievement, and accountability determinations. As a technical reference, the appendix includes tables and statistical programming code used to compute the different methods. The analyses and results provide clear and concise frameworks for approaching accountability criteria and decisions. |
| Abstractor: | As Provided |
| Entry Date: | 2019 |
| Accession Number: | ED598654 |
| Database: | ERIC |
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