Predictors of College Readiness: an Analysis of the Student Readiness Inventory Page: I
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Wilson Ill, James K. Predictors of Colleqe Readiness: An Analysis of the Student
Readiness Inventory. Doctor of Education (Education Administration), May 2012, 75
pp., 4 tables, references, 78 titles.
The purpose of this study was to better predict how a first semester college
freshman becomes prepared for college. The theoretical framework guiding this study
is Vrooms' expectancy theory, motivation plays a a key role in success. This study
used a hierarchical multiple regression model. The independent variables of interest
included high school percentile class rank, composite ACT scores, composite SAT
scores, and the 10 themes as measured by the Student Readiness Inventory (SRI) to
address two research questions: What are the psychosocial factors identified by the SRI
are most relevant in predicting college success? What conventional academic indicators
are most relevant in predicting college success? The sample size for this study was
5279 (n), including a stratified random sample of first semester college freshman
enrolled in credit bearing courses; these participants were deemed college ready by the
university. Academic Discipline accounted for 4.2% of the variance in first semester
college GPA, General Determination accounted for 1.7% of the variance, and the
remaining psychosocial factors of the SRI accounted for less than 1% of the variance.
High school percentile class rank accounted for 10.7% of the variance, composite ACT
accounted for 5.9% of the variance, and composite SAT accounted for 5.6% of the
variance. Future analysis could be completed within demographic groups to include a
stratified random sample of participants by ethnicity, gender, or economic status. Such
analysis would build on this body of research providing additional guidance admission
officers and K-12 educators.
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Wilson III, James K. Predictors of College Readiness: an Analysis of the Student Readiness Inventory, dissertation, May 2012; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc115181/m1/2/: accessed April 25, 2019), University of North Texas Libraries, Digital Library, https://digital.library.unt.edu; .