easyCBM[R] Reading Criterion Related Validity Evidence: Washington State Test 2009-2010. Technical Report #1101

Autor/inn/en	Anderson, Daniel; Alonzo, Julie; Tindal, Gerald
Institution	University of Oregon, Behavioral Research and Teaching (BRT)
Titel	easyCBM[R] Reading Criterion Related Validity Evidence: Washington State Test 2009-2010. Technical Report #1101
Quelle	(2011), (224 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Quantitative Daten; Curriculum Based Assessment; Reading Tests; Predictive Validity; Formative Evaluation; Student Evaluation; Benchmarking; Response to Intervention; Grade 3; Grade 4; Grade 5; Grade 6; Grade 7; Grade 8; Regression (Statistics); Correlation; Cutting Scores; Reading Comprehension; Oral Reading; Vocabulary; Oregon; Washington + Suchen Sie Ihr Suchwort? Lesetest; Schulnote; Studentische Bewertung; School year 03; 3. Schuljahr; Schuljahr 03; School year 04; 4. Schuljahr; Schuljahr 04; School year 05; 5. Schuljahr; Schuljahr 05; School year 06; 6. Schuljahr; Schuljahr 06; School year 07; 7. Schuljahr; Schuljahr 07; School year 08; 8. Schuljahr; Schuljahr 08; Regression; Regressionsanalyse; Korrelation; Leseverstehen; Oral work; Reading; Mündliche Übung; Leseprozess; Lesen; Wortschatz
Abstract	easyCBM[R] is an online benchmark and progress monitoring assessment system designed for use within a response to intervention (RTI) framework. Part of the purpose of easyCBM[R] is to help educators identify students who may be at risk for academic failure. Often, students deemed at risk are those who would be predicted to not pass the state test. Previous research has shown that educators using easyCBM[R] may classify students as at-risk or not for passing the Oregon state test with a high degree of accuracy. In this technical report, we report on an extension of this research, examining the relation between easyCBM[R] and the test used for accountability in Washington state. We conduct regression and correlation analyses to examine the relation between the measures, and use scatterplots to illustrate this relation with respect to cut scores. (Contais 1 table.) (As Provided).
Anmerkungen	Behavioral Research and Teaching. 175 Lokey Education 5262 University of Oregon, Eugene, OR 97403. Tel: 541-346-3535; Fax: 541-346-5689; Web site: http://www.brtprojects.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10