ERIC Number: ED648642
Record Type: Non-Journal
Publication Date: 2022
Pages: 279
Abstractor: As Provided
ISBN: 979-8-3514-3131-4
ISSN: N/A
EISSN: N/A
Predicting PSSA Mathematics Scores from Acadience Reading Curriculum-Based Measures
Ian M. Daecher
ProQuest LLC, Ed.D. Dissertation, Neumann University
The purpose of this non-experimental, quantitative study was to investigate the relationship between Acadience reading curriculum-based measures (CBMs) and the Pennsylvania System of School Assessment (PSSA) mathematics assessment for students in grades three, four, five, and six. Furthermore, multiple linear regression equations were created from the fall and winter Acadience CBMs to predict student performance on the PSSA mathematics assessment for each respective grade. While a few studies determined some reading CBMs to have predictive ability on the Illinois and North Carolina end-of-year state mathematics assessments, it was not known if Acadience reading CBMs could be used to predict PSSA mathematics assessments in grades three, four, five, and six. After a literature review was conducted, this study concluded there was a gap in the research on what specific Acadience CBMs could be used to predict performance on PSSA mathematics assessments in grades three, four, five, and six. This study collected the independent variable percentage scores from the oral reading fluency (ORF), retell, Maze, and composite score from the fall and winter Acadience CBMs, which were administered in the 2020-2021 school year. The dependent variables were the percentage scores from the PSSA mathematics assessment administered in the spring of 2021. Student scores were collected from six elementary schools in a suburban district in the southeastern part of Pennsylvania. After random sampling was completed, 52 third grade scores, 55 fourth grade scores, 54 fifth grade scores, and 52 sixth grade scores were used for the study. Pearson correlation and multiple linear regression analysis were done to investigate the relationship between Acadience CBMs in the fall and winter and PSSA mathematics scores. The results showed strong correlations between specific Acadience CBMs in the fall and winter testing periods to the PSSA mathematics assessment. Multiple linear regression equations were generated for each grade level in the study for both the fall and winter Acadience testing periods. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml.]
Descriptors: Predictor Variables, Scores, Mathematics, Reading Instruction, Achievement Tests, Correlation, Grade 3, Grade 4, Grade 6, Grade 5, Performance, Exit Examinations, Curriculum Based Assessment, Elementary Education, Suburban Schools, School Districts
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Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: Early Childhood Education; Elementary Education; Grade 3; Primary Education; Grade 4; Intermediate Grades; Grade 6; Middle Schools; Grade 5
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Pennsylvania
Identifiers - Assessments and Surveys: Pennsylvania System of School Assessment
Grant or Contract Numbers: N/A