Collection

2008 ASEE Zone 1 Conference

Authors

Linda Ann Riley; Charles Thomas

well as howother engineering departments might take advantage of the federal appropriation and ultimately affect thepipeline of entering engineering freshmen.Background of the STEM Pipeline ChallengeThere are many reasons cited for the increased attention on strengthening mathematics and sciencepreparation of K-12 students. Foremost among those reasons however is the need to equip our futureworkforce with the skills and tools required to compete in a changing global economy. An adequate levelof mathematics and science preparation is seen as a necessity for the many technical professions that willconstitute the workforce of the future. If graduating high school seniors do not have the prerequisiteability in mathematics and science, then the

Collection

2008 ASEE Zone 1 Conference

Authors

Qing Li

provides less detailed data andthus is not suitable for exploration of complex issues. Since most all of the research studies reviewed in thispaper have applied this method to measure various characteristics of engineering students, examples will not belisted here.2.3.2. Data analysis methods 7This section provides an overview of the data analysis methods used in current literature studying themeasurement of the characteristics of engineering students.Logistic regression. This method is often used in research studying prediction of college enrollment, retentionand graduation (Besterfielf-Sacre, et. al., 1997; 1998; Wong-Moller &