Matching Items (2)
Description
Current emphasis on adequate academic progress monitored by standardized assessments has increased focus on student acquisition of required skills. Reading ability can be assessed through student achievement on Oral Reading Fluency (ORF) measures. This study investigated the effectiveness of using ORF measures to predict achievement on high stakes tests. Study participants included 312 students across four Title 1 elementary schools in a Southwestern United States school district utilizing the Response to Intervention (RTI) model. Participants' ORF scores from first through third grade years and their third grade standardized achievement test scores were collected. In addition, information regarding reading interventions was obtained. Pearson product-moment correlations were used to determine how ORF scores and specific reading skills were related. Correlations were also used to assess whether the ORF scores from the fall, winter, or spring were most related to high stakes test scores. Additionally, the difference between computer-based versus instructor-led interventions on predicting high stakes test scores was assessed. Results indicated that correlation coefficients were larger between ORF and reading comprehension scores than between ORF and basic reading skills. ORF scores from spring were more highly related to high stakes tests than other times of the year. Students' ORF scores were more strongly related to high stakes tests when in computer-based interventions compared to instructor-led interventions. In predicting third grade high stakes test scores, first grade ORF scores had the most variance for the non-intervention sample, while third grade ORF scores had the most variance for the intervention sample.
ContributorsDevena, Sarah (Author) / Caterino, Linda (Thesis advisor) / Balles, John (Committee member) / Mathur, Sarup (Committee member) / Arizona State University (Publisher)
Created2013
Description
More than 30% of college entrants are placed in remedial mathematics (RM). Given that an explicit relationship exists between students' high school mathematics and college success in science, technology, engineering, and mathematical (STEM) fields, it is important to understand RM students' characteristics in high school. Using the Education Longitudinal Survey 2002/2006 data, this study evaluated more than 130 variables for statistical and practical significance. The variables included standard demographic data, prior achievement and transcript data, family and teacher perceptions, school characteristics, and student attitudinal variables, all of which are identified as influential in mathematical success. These variables were analyzed using logistic regression models to estimate the likelihood that a student would be placed into RM. As might be expected, student test scores, highest mathematics course taken, and high school grade point average were the strongest predictors of success in college mathematics courses. Attitude variables had a marginal effect on the most advantaged students, but their effect cannot be evaluated for disadvantaged students, due to a non-random pattern of missing data. Further research should concentrate on obtaining answers to the attitudinal questions and investigating their influence and interaction with academic indicators.
ContributorsBarber, Rebecca (Author) / Garcia, David R. (Thesis advisor) / Powers, Jeanne (Committee member) / Rodrigue Mcintyre, Lisa (Committee member) / Arizona State University (Publisher)
Created2011