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Multiple Measures as a Placement Instrument in Mathematics at Florida State Colleges
- Date Issued:
- 2016
- Summary:
- Every year, thousands of Florida public high school graduates seek to enter Florida state colleges based on a single standardized placement test. This quantitative study sought to identify an actuarial model, based on multiple measures, as an alternative to standardized placement tests. The study, grounded on degree completion theories, examined high school students from the Miami-Dade metropolitan area and their performance in one first-year mathematics course in Miami Dade College during the Fall 2014 academic term. The study, using a sample size of 10,186 subjects, examined multiple predictor variables and one outcome variable to measure predictability of success in Intermediate Algebra. The study used descriptive statistics, multiple linear regression, and logistic regression to develop a multiple measure actuarial model. A quantitative analysis of archived student records was used in this study. The analysis revealed that the actuarial model, using gender, ethnicity, age, academic objective, academic load, high school GPA, high school mathematics gap, and high school mathematics curriculum composite score as predictor variables, was significant in predicting success in Intermediate Algebra. The actuarial model correctly classified 1,688 subjects who would fail Intermediate Algebra, achieving a hit rate of 75% in predicting failure in Intermediate Algebra. Similarly, the model achieved a hit rate of 54% when classifying subjects who would pass Intermediate Algebra. The improvement-over-chance index, I, was 44.8%, representing a 45% reduction in error when classifying subjects who would fail Intermediate Algebra. Thus, the actuarial model, with all its predictor variables, provides helpful guidance when advising incoming first-time-in-college (FTIC) students.
Title: | Multiple Measures as a Placement Instrument in Mathematics at Florida State Colleges. |
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Name(s): |
Montañez Martínez, III, Miguel A., author Floyd, Deborah L., Thesis advisor Morris, John D., Thesis advisor Florida Atlantic University, Degree grantor College of Education Department of Educational Leadership and Research Methodology |
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Type of Resource: | text | |
Genre: | Electronic Thesis Or Dissertation | |
Date Created: | 2016 | |
Date Issued: | 2016 | |
Publisher: | Florida Atlantic University | |
Place of Publication: | Boca Raton, Fla. | |
Physical Form: | application/pdf | |
Extent: | 124 p. | |
Language(s): | English | |
Summary: | Every year, thousands of Florida public high school graduates seek to enter Florida state colleges based on a single standardized placement test. This quantitative study sought to identify an actuarial model, based on multiple measures, as an alternative to standardized placement tests. The study, grounded on degree completion theories, examined high school students from the Miami-Dade metropolitan area and their performance in one first-year mathematics course in Miami Dade College during the Fall 2014 academic term. The study, using a sample size of 10,186 subjects, examined multiple predictor variables and one outcome variable to measure predictability of success in Intermediate Algebra. The study used descriptive statistics, multiple linear regression, and logistic regression to develop a multiple measure actuarial model. A quantitative analysis of archived student records was used in this study. The analysis revealed that the actuarial model, using gender, ethnicity, age, academic objective, academic load, high school GPA, high school mathematics gap, and high school mathematics curriculum composite score as predictor variables, was significant in predicting success in Intermediate Algebra. The actuarial model correctly classified 1,688 subjects who would fail Intermediate Algebra, achieving a hit rate of 75% in predicting failure in Intermediate Algebra. Similarly, the model achieved a hit rate of 54% when classifying subjects who would pass Intermediate Algebra. The improvement-over-chance index, I, was 44.8%, representing a 45% reduction in error when classifying subjects who would fail Intermediate Algebra. Thus, the actuarial model, with all its predictor variables, provides helpful guidance when advising incoming first-time-in-college (FTIC) students. | |
Identifier: | FA00004614 (IID) | |
Degree granted: | Dissertation (Ph.D.)--Florida Atlantic University, 2016. | |
Collection: | FAU Electronic Theses and Dissertations Collection | |
Note(s): | Includes bibliography. | |
Subject(s): |
Achievement in education--Measurement. Educational tests and measurements--Florida. Mathematics--Examinations, questions, etc. Advanced placement programs (Education) |
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Held by: | Florida Atlantic University Libraries | |
Sublocation: | Digital Library | |
Links: | http://purl.flvc.org/fau/fd/FA00004614 | |
Persistent Link to This Record: | http://purl.flvc.org/fau/fd/FA00004614 | |
Use and Reproduction: | Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder. | |
Use and Reproduction: | http://rightsstatements.org/vocab/InC/1.0/ | |
Host Institution: | FAU | |
Is Part of Series: | Florida Atlantic University Digital Library Collections. |