An Integrated Model of Application, Admission, Enrollment, and Financial Aid

We jointly model the application, admission, financial aid determination, and enrollment decision process. We simulate how enrollment and application behavior change when important factors like financial aid are permitted to vary. An innovation is the investigation into the role of financial aid expectations and how they relate to application and enrollment behavior.

The Known Unknowns of Diversity & Inclusion: Supporting Individuals with Hidden & Transitioning Identities

The goal of this workshop is to create a safe and open space for people to learn about individuals with hidden and transitioning identities and ways to support them as community members and allies

The Effects of Interrupted Enrollment on Graduation from College: Racial, Income, and Ability Differences

We present a multiple spells-competing risks model of stopout, dropout, reenrollment, and graduation behavior. We find that students who experience an initial stopout are more likely to experience subsequent stopouts (occurrence dependence) and be less likely to graduate. We also find evidence of the impact of the length of an initial spell on the probability of subsequent events (lagged duration dependence). We simulate the impacts of race, family income, and high school performance on student behavior and show that there are often very large differences between unadjusted rates of student outcomes and adjusted rates. Differences in student performance often ascribed to race are shown to be the result of income, age at entry, and high school performance.

Small Business Issue: “how do we avoid the speed trap and not get hit by the speeders?”

The authors examine the use of online panels, the assumptions that are being made, and the dangers of those assumptions for small business. Specifically, the authors investigate the existence and possible effects of speeders. They conclude with a discussion of the implications and how to avoid falling into the traps that this problem may create

Windows into Non-Euclidean Spaces

Two microlens arrays that are separated by the sum of their focal lengths form arrays of micro-telescopes. Parallel light rays that pass through corresponding lenses remain parallel, but the direction of the transmitted light rays is different. This remains true if corresponding lenses do not share an optical axis (i.e. if the two microlens arrays are shifted with respect to each other). The arrays described above are examples of generalized confocal lenslet arrays, and the light-ray-direction change in these devices is well understood [Oxburgh et al., Opt. Commun. 313, 119 (2014)]. Here we show that such micro-telescope arrays change light-ray direction like the interface between spaces with different metrics. To physicists, the concept of metrics is perhaps most familiar from General Relativity (where it is applied to spacetime, not only space, like it is here) and Transformation Optics [Pendry et al., Science 312, 1780 (2006)], where different materials are treated like spaces with different optical metrics. We illustrate the similarities between micro-telescope arrays and metric interfaces with raytracing simulations. Our results suggest the possibility of realising transformation-optics devices with micro-telescope arrays, which we investigate elsewhere

Who has a repeat abortion? Identifying women at risk of repeated terminations of pregnancy : analysis of routinely collected health care data

Authors’ thanks goes to Mr Peter Szchechina and Mr Alastair Soutar for extracting the data for this study and to Prof Allan Templeton for initiating the TOPS database in Grampian and for critically evaluating the manuscript.Peer reviewedPostprin

Is Marketing Science Really Scientific?

Thirty-five years ago, there was a special issue of the Journal of Marketing in Fall, 1983 concerning whether marketing is a science and what role theory plays in a marketing science. In that issue the following articles concerned with the definition of Marketing and its role in business appeared: Shelby Hunt asked the question of whether a general theory of marketing is even possible and what such a theory would be like if such a theory existed. Robert Bartels noted that marketing has been defined as having theory and practice, specialization and generalization, as well as established interests and global expectations over the years. In other words are we primarily practitioners or are we primarily scholars. John Howard notes that marketing provides a guide for strategic and operational planning by focusing on the customer which maximizes shareholder wealth. George D. and Robin Wensley emphasized marketing’s role in creating competitive advantage and associated strategic issues to create a new paradigm for marketing. Other articles were more directly related to the issue of marketing and science: Rohit Deshpande was concerned with marketing scientists being preoccupied with hypothesis testing rather than theory building and recommends using qualitative methods to build theories followed by using quantitative methods to test the validity of those theories. Paul Anderson wondered if marketing should be more scientific by being committed to theory-driven paradigms producing programmatic research to solve significant problems. Finally, Paul Peter and Jerry Olson answer the question ‘Is Science marketing?’ by claiming that science is a special case of marketing. They note that marketing scientists create theories which are like products with channels of distribution, promotion, and prices. Marketing scientists who create these theories have objectives for doing so that fall into three types: noble, curiosity and self-serving. The question here is: Is marketing a science and if so what makes it scientific? In the end of all discussions asking ‘Is marketing a science?’ we must recognize there is no set of criteria for recognizing science from nonscience (Laudan, 1982). However if marketing scientists create useful knowledge, they have answered the question in the marriage of marketing theory and practice. Journal of Marketing, Vol. 47, No. 4 (Autumn) 1983 Laudan, Larry (1965), On the Impossibility of Crucial Falsifying Experiment: Gruntaum on The Cuhemian Argument\u27, Philosophy of Science. 32 (July), 295-9

The Generations and Restaurant Types

Previously, research has created several scales for measuring different facets of the dining experience and suggest the need to do more segmentation by age. This research does that by collecting panel data to determine if there are relationships between the generations (Silent, Boomers, Xers, Yers, and Nexters) and the four main types of restaurants (QSR, fast casual, casual, fine dining). This was also conducted in an online environment as most consumers are now researching before they buy using the internet. The results indicate that Casual restaurants are associated with Boomers and Nexters while Fast Casual restaurants are associated with Gen Y and Nexters. The heavy user subsegments for each generation are also analyzed. The implications of these findings for restaurant management are discussed