An Analysis of Delayed Entry Program (DEP) Attrition by High School Seniors
An Analysis of Delayed Entry Program (DEP) Attrition by High School Seniors

Author: Beulah I. Henderson

Publisher:

Published: 1999-03-01

Total Pages: 121

ISBN-13: 9781423544913

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In fiscal year 1998, the Navy missed its recruiting goal by about 7, 000 people and the Army fell short by 800. The Delayed Entry Program (DEP) allows new recruits to delay their entry into active military service; and, when individuals already recruited drop out of the DEP, the manpower planning process becomes even more difficult. High school seniors account for a relatively large proportion of individuals who leave the DEP. The primary purpose of this research was to identify factors that explain why high school seniors drop out of the DEP in such large numbers. Multivariate data analysis was used on archival data files from the Defense Manpower Data Center for fiscal years 1990 through 1996 to identify factors that explain the high attrition rate of high school seniors. A data set from Commander, Navy Recruiting Command was also used to conduct multivariate analysis. Additionally, descriptive data analysis examined high school seniors who left the DEP by their race, gender, service, and other characteristics. The results show that high school seniors who are older, female, and in the lower enlistment test categories have a comparatively high probability of dropping out of the DEP. Recommendations are offered for further research in this area.

Data & Analytics for Instructional Designers
Data & Analytics for Instructional Designers

Author: Megan Torrance

Publisher: Association for Talent Development

Published: 2023-04-11

Total Pages: 286

ISBN-13: 1953946453

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Add Data and Analytics to Your TD Toolkit Instructional design pro Megan Torrance addresses the importance of instructional designers accessing and applying learning and performance data—from how to design learning experiences with data collection in mind to how to use the data to improve and evaluate those experiences. With the advance of new learning technologies and data specifications, instructional designers have access to more and richer data sources than ever before. With that comes the question of what to do with the data. While most data and analytics books focus on their application for measurement and evaluation and assume a prior baseline understanding of what learning data and analytics mean, Data and Analytics for Instructional Designers delves into the foundational concepts that will enable instructional designers and L&D professionals to use data in their roles. Split into two parts, the book first defines key data and analytics terms, data specifications, learning metrics, and statistical concepts. It then lays out a framework for using learning data for planning how to gather data and to building scale and maturity in your data operations. Megan reassures readers that basic math skills with some computer assistance is what you’ll need to get going. So set aside any math anxiety! Through a “If I can see it, I can be it” approach to learning data and analytics, the book blends practical what-is and how-to content with real-world examples and longer case studies from practitioners. Chapters conclude with opportunities for you to put these techniques to work right away, whether you are in a data-rich environment already, or whether you are just getting started and working on hypotheticals.