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Author: Nicholas A. Kristof Publisher: ISBN: 9781423508922 Category : Languages : en Pages : 123
Book Description
This research analyzes the relationship between academic success in high school and at the freshman collegiate level and academic performance in engineering majors at the United States Naval Academy (USNA). The study developed predictive models on success and achievement in engineering by examining nine intellective and ten non-intellective variables. The purpose of the project is to contribute to the improvement of academic advising for students considering engineering majors and thus improve student retention. Regression models are estimated for USNA classes of 1997 through 2000 (N = 1, 648). Three models are estimated to predict completion of an engineering degree, completion of an engineering degree having achieved superior academics, and cumulative quality point rating. Analysis of various explanatory variables shows that a positive relationship exists between early academic success in math and science at the collegiate level and overall success in an engineering major. First semester academic quality point rating was the single most predictive variable in all models.
Author: Nicholas A. Kristof Publisher: ISBN: 9781423508922 Category : Languages : en Pages : 123
Book Description
This research analyzes the relationship between academic success in high school and at the freshman collegiate level and academic performance in engineering majors at the United States Naval Academy (USNA). The study developed predictive models on success and achievement in engineering by examining nine intellective and ten non-intellective variables. The purpose of the project is to contribute to the improvement of academic advising for students considering engineering majors and thus improve student retention. Regression models are estimated for USNA classes of 1997 through 2000 (N = 1, 648). Three models are estimated to predict completion of an engineering degree, completion of an engineering degree having achieved superior academics, and cumulative quality point rating. Analysis of various explanatory variables shows that a positive relationship exists between early academic success in math and science at the collegiate level and overall success in an engineering major. First semester academic quality point rating was the single most predictive variable in all models.
Author: Barton L. Phillips Publisher: ISBN: 9781423520351 Category : Languages : en Pages : 101
Book Description
This thesis analyzes the effect of quantitative and qualitative factors used in the admissions process at the U.S. Naval Academy in determining the performance of candidates admitted. In determining student performance, graduation, Order of Merit (OOM), cumulative academic Quality Point Ratio (QPR), cumulative military QPR, and striper selection are used as performance outcome measures. The data is from Naval Academy graduation year groups 1995 through 2001. The analysis separates the Naval Academy's Whole Person Multiple into quantitative and qualitative inputs. The Candidate Multiple (CM) is the quantitative input to the admissions process derived from a statistics-based scoring model anchored in proven high school performance measures such as the SAT and high school GPA. The Recommendations of the Admissions Board (RAB) are the qualitative input, which awards points for subjective traits not captured in the CM or that are from various other subjective measures, such as student interviews and essays. This research highlights the properties of the two admissions factors and their estimated impact on student performance. The results show that student performance increased as CM and RAB increased, revealing the importance of a combined quantitative and qualitative admissions process, and emphasizing qualitative input as the value added factor that provides an increased predictability of student success. (26 tables, 22 figures, 26 refs.)
Author: Naval Postgraduate Naval Postgraduate School Publisher: CreateSpace ISBN: 9781511540216 Category : Languages : en Pages : 100
Book Description
This study examined the ability of three personality measures to predict midshipmen attrition at the United States Naval Academy. More specifically, the study examined the ability of the Myers Briggs Type Indicator and the Personal History Questionnaire to replace the Career Interest Score of the Strong Interest Inventory in the Naval Academy admissions formula and to better predict overall, voluntary, academic, and performance/conduct attrition. The data used were from the Naval Academy classes of 1995 to 2000. Logistic regression analysis was done using just the classes of 1995-1999. The class of 2000 was used in an out of sample prediction to test the validity of the study's attrition model. Results showed that the Career Interest Score is unable to predict attrition. Additionally, the addition of the MBTI and PHQ improved the predictive ability of the admissions formula for two of the four attrition variables modeled. The model was most effective in predicting voluntary attrition. Recommendations are made regarding the United States Naval Academy admissions policy and for future research in the subject area.
Author: Nicholas A. Kristof
Author: Nicholas A. Kristof
Author: United States Naval Academy
Author: United States Naval Academy
Author: United States Naval Academy
Author: 
Author: United States Naval Academy
Author: Barton L. Phillips
Author: United States Naval Academy
Author: 
Author: Naval Postgraduate Naval Postgraduate School