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ERIC Number: ED591590
Record Type: Non-Journal
Publication Date: 2018
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-
Preliminary Findings on the Computer-Administered Multiple-Choice Online Causal Comprehension Assessment, a Diagnostic Reading Comprehension Test
Davison, Mark L.; Biancarosa, Gina; Carlson, Sarah E.; Seipel, Ben; Liu, Bowen
Grantee Submission, Assessment for Effective Intervention v43 n3 p169-181 2018
The computer-administered Multiple-Choice Online Causal Comprehension Assessment (MOCCA) for Grades 3 to 5 has an innovative, 40-item multiple-choice structure in which each distractor corresponds to a comprehension process upon which poor comprehenders have been shown to rely. This structure requires revised thinking about measurement issues (e.g., reliability and interpretation of incorrect responses for diagnostic purposes). Using data from a pilot study, the article presents descriptive statistics on correct responses, incorrect responses, and comprehension rate. It also presents reliability data for correct responses and incorrect responses as well as construct validity data on correct responses. Implications for diagnosis and remediation of poor inferential comprehension are discussed. [This article was published in "Assessment for Effective Intervention" (EJ1179488).]
Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education
Audience: N/A
Language: English
Sponsor: Institute of Education Sciences (ED)
Authoring Institution: N/A
IES Funded: Yes
Grant or Contract Numbers: R305A140185