nalysis of data from the National Student Clearinghouse (NSC), the method takes into account retention and graduation numbers at both entry and transfer institutions. Hence, what they accomplish is to construct a polychotomous definition of success. The challenge facing them include identifying new methods to model limited dependent variables. They are sceptical that the multinomial logit method is apt for the purpose. They believe incorporating multinomial regression techniques into the model is a better way of evaluating student success across institutions. The intended audience for this research paper are educators and fellow scholars. The paper uses esoteric language and complex statistical analysis. To this extent novices and teachers under training may find its content inaccessible. However, the necessity and relevance of the angle of scholarly investigation cannot be overstated. At a time when general standards of literacy, numeracy and employability of students are falling across educational institutions, reworking the model for ascertaining student success might help educators and recruiters to refine their search criteria. Likewise, with federal government putting pressure on institutions of higher to improve accountability, all stakeholders are reviewing the utility of arcane laws such as the Student Right to Know (SRK) Act of 1990. In the same vein, the reporting requirements through Integrated Postsecondary Education Data System (IPEDS) and Graduation Rate Survey (GRS) are also being reviewed. The project undertaken by Jones-White et al is relevant for all these areas of review.
The article talks about a longitudinal case study of an experienced educator (Steven). Starting with Steven’s early days as an untrained teacher, the author brings his first hand experiences to bear on the analysis. It is recounted how, through the Teach for America initiative, the subject taught mathematics at an urban middle school, before moving on to teaching ...Show more