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ERIC Number: EJ1248230
Record Type: Journal
Publication Date: 2020
Pages: 15
Abstractor: As Provided
ISSN: ISSN-0738-0569
Predicting Second-Grade Students' Yearly Standardized Reading Achievement Using a Computer-Adaptive Assessment
Sutter, Claudia C.; Campbell, Laurie O.; Lambie, Glenn W.
Computers in the Schools, v37 n1 p40-54 2020
The present study investigated the predictability of a computer-adaptive, curriculum-based reading assessment for measuring second-grade students' overall and comprehension reading achievement on a standardized reading achievement test. Specifically, second-grade student scores (N = 428) of the Istation's Indicators of Progress for Early Reading (ISIP-ER) and the Standardized Test for the Assessment of Reading (STAR Reading) in one state were examined. Linear regression analysis was conducted in Mplus to determine the predictability between the ISIP-ER and STAR Reading scores, identifying that both the ISIP-ER overall reading and comprehension scores in December predicted the standardized reading scores in Spring (May). Confidence intervals were estimated to identify the ISIP-ER cut scores that predict STAR Reading scores for all achievement levels. Overall, ISIP-ER shows promise as a universal screening tool for second-grade student yearly reading skills.
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: Early Childhood Education; Elementary Education; Grade 2; Primary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A