Browsing by Subject "Multinomial logit"
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Item The impact of the residential built environment on work at home adoption and frequency: An example from Northern California(Journal of Transport and Land Use, 2011) Tang, Wei (Laura); Mokhtarian, Patricia; Handy, SusanWorking at home is widely viewed as a useful travel-reduction strategy, and it is partly for that reason that considerable research related to telecommuting and home-based work has been conducted in the last two decades. This study examines the effect of residential neighborhood built environment (BE) factors on working at home. After systematically presenting and categorizing various relevant elements of the BE and reviewing related studies, we develop a multinomial logit (MNL) model of work-at-home (WAH) frequency using data from a survey of eight neighborhoods in Northern California. Potential explanatory variables include sociodemographic traits, neighborhood preferences and perceptions, objective neighborhood characteristics, and travel attitudes and behavior. The results clearly demonstrate the contribution of built environment variables to WAH choices, in addition to previously-identified influences such as sociodemographic predictors and com- mute time. BE factors associated with (neo)traditional neighborhoods were associated both positively and negatively with working at home. The findings suggest that land use and transportation strategies that are desirable from some perspectives will tend to weaken the motivation to work at home, and conversely, some factors that seem to increase the motivation to work at home are widely viewed as less sustainable. Accordingly, this research points to the complexity of trying to find the right balance among demand management strategies that sometimes act in competition rather than in synergy.Item Success is what we make it: using multinomial logit modelling to explore expanded definitions of student success for undergraduate and graduate students(2014-11) White, Daniel R.The research in this dissertation examines the factors associated with student success in college. While the three studies explore students enrolled at both the undergraduate and graduate level, unifying the research included herein is an effort to expand our understanding of college success beyond the traditional measures employed in the existing higher education literature. Examining three cohorts of first-year undergraduates enrolled at the University of Minnesota-Twin Cities during the 1999-2001 fall semesters (n=15,496), the first study considers the consequences of limiting our interpretation of student success to include only graduation from the institution of first-entry. Recognizing that a non-trivial number of students depart the University but continue on to completion at a different institution, a measure of multi-institutional student success is developed using data from the National Student Clearinghouse. A methodological exploration is then provided to assess the different statistical approaches suitable for accommodating the expanded completion outcomes. This methodological approach illustrates that our understanding of undergraduate student success changes when the definition of student success is expanded to include graduation beyond the institution of first-entry. The second study revisits the multi-institutional measure of undergraduate completion developed in the first study with a particular interest in assessing the potential relationship between financial aid awards and a student's educational trajectory. Following a single cohort of first-year students at the University of Minnesota-Twin Cities (n=5,188) and incorporating institutional data related to the financial aid awards posted to a student's financial account, this study explores and finds that the type of aid awarded to a student is associated with their decision to either persist, transfer, or drop out of college. Results suggest differential effect based on the type of financial aid type with loan aid appearing to work against an institution's retention and completion goals by encouraging students to search out alternative institutions or drop out of college entirely. The third study changes venues and explores success at the doctoral level. Using two-years of completion data on successful doctoral students (n=787), this study develops a measure of doctoral success that considers the postcompletion plans and employment type of students and attempts to discern to what extent individual- and program-level variables affect the occupational choices of successful students. Results suggest experiences of students in graduate education are associated with certain aspects of their postcompletion plans and occupational choices; however, when it comes to producing future faculty members, program-level effects are associated with the likelihood of obtaining a tenure-track position.