ERIC Number: EJ1259211
Record Type: Journal
Publication Date: 2020-Sep
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0829-5735
EISSN: N/A
Determining Growth Sensitivity of Star Math with a Latent Growth Curve Model
Johnson, Kristin N.; Thompson, Kenneth L.; Farmer, Ryan L.
Canadian Journal of School Psychology, v35 n3 p197-209 Sep 2020
Repeated measurements of student ability (i.e., progressing monitoring) is an essential element of informed decision-making when adjusting instruction. An important characteristic of progress monitoring measures is frequent administration to identify areas of concern and to evaluate academic growth. The purpose of this study was to determine if STAR Math is sensitive to small incremental growth across a semester. Within two southern school districts, 114 fifth grade students' progress monitoring data were collected weekly, and a latent growth curve was used to estimate students' change in math ability. Results indicated STAR Math is sensitive to small incremental growth, with a statistically significant and positive slope, suggesting students using STAR Math showed improvement in ability over the semester.
Descriptors: Progress Monitoring, Mathematics Instruction, Grade 5, Elementary School Students, Computer Assisted Testing, Achievement Gains, Mathematics Achievement, Mathematics Skills, Educational Technology, Technology Uses in Education, Test Validity, Test Reliability
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Publication Type: Journal Articles; Reports - Research
Education Level: Elementary Education; Grade 5; Intermediate Grades; Middle Schools
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A