ERIC Number: EJ956576
Record Type: Journal
Publication Date: 2012
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1537-7903
EISSN: N/A
Using General Outcome Measures to Predict Student Performance on State-Mandated Assessments: An Applied Approach for Establishing Predictive Cutscores
Leblanc, Michael; Dufore, Emily; McDougal, James
Journal of Applied School Psychology, v28 n1 p1-13 2012
Cutscores for reading and math (general outcome measures) to predict passage on New York state-mandated assessments were created by using a freely available Excel workbook. The authors used linear regression to create the cutscores and diagnostic indicators were provided. A rationale and procedure for using this method is outlined. This method allows practitioners to model alternative cutscores and observe effects on correct and incorrect classification of students as passing or failing a high-stakes test. This method of determining cutscores allows school personnel to create defensible and appropriate cutscores on the basis of resources available at the local level. (Contains 6 tables and 2 notes.)
Descriptors: Academic Achievement, Regression (Statistics), School Personnel, Evaluation Methods, Computer Software, High Stakes Tests, Classification, Observation, Prediction, Measures (Individuals), Reading Achievement, Mathematics Achievement, Elementary Secondary Education
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Elementary Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: New York
Grant or Contract Numbers: N/A