Heidelberg University (Ohio)

About: Heidelberg University (Ohio) is a education organization based out in Tiffin, Ohio, United States. It is known for research contribution in the topics: Eutrophication & Tributary. The organization has 101 authors who have published 184 publications receiving 8272 citations. The organization is also known as: Heidelberg College & Heidelburg College.

Impact of number of realizations on the suitability of simulated weather data for hydrologic and environmental applications

Abstract: Stochastic weather generators are widely used in hydrological, environmental, and agricultural applications to simulate weather time series. However, such stochastic models produce random outputs hence the question on how representative the generated data are if obtained from only one simulation run (realization) as is common practice. In this study, the impact of different numbers of realizations (1, 25, 50, and 100) on the suitability of generated weather data was investigated. Specifically, 50 years of daily precipitation, and maximum and minimum temperatures were generated for three weather stations in the Western Lake Erie Basin (WLEB), using three widely used weather generators, CLIGEN, LARSWG and WeaGETS. Generated results were compared with 50 years of observed data. For all three generators, the analyses showed that one realization of data for 50 years of daily precipitation, and maximum and minimum temperatures may not be representative enough to capture essential statistical characteristics of the climate. Results from the three generators captured the essential statistical characteristics of the climate when the number of realizations was increased from 1 to 25, 50 or 100. Performance did not improve substantially when realizations were increased above 25. Results suggest the need for more than a single realization when generating weather data and subsequently utilizing in other models, to obtain suitable representations of climate.

If You Don’t Care, Then Why Should I? The Influence of Instructor Commitment on Student Satisfaction and Commitment

Abstract: Management education often takes place at institutions where research is one of the top priorities of the faculty and administration. In this context, and others, instructors may not be fully committed to their teaching. Yet student satisfaction with their professors is an important determinant of a university’s reputation. We explore how an instructor’s attitude about teaching influences student outcomes in general and student satisfaction and commitment specifically. Using a sample of 286 students and five different management instructors, our research establishes an instructor’s attitude about teaching, specifically the instructor’s self-rated commitment to the students in his or her class, as having a positive influence on student-rated satisfaction. Moreover, perceived instructor support is established as the explanatory mechanism that mediates the relationship between an instructor’s commitment to students and student satisfaction as well as the relationship between an instructor’s commitment to stu...

TouchStat: A Monte Carlo program for calculating sequential touching probabilities

Abstract: A growing number of child cognition researchers are using an object-manipulation, sequential-touching paradigm to explore young children’s conceptual abilities. Within this paradigm, it is essential to distinguish children’s intracategory touching sequences from those expected by chance. The sequentialtouching approach is congruent with a permutation testing model of statistical inference and is best modeled by sampled permutations as derived from Monte Carlo procedures. In this article, we introduce a computer program for generating Monte Carlo sequential-touching simulations. TouchStat permits users to determine their own specifications to simulate sequential touching to category exemplars across a wide range of task parameters. We also present Monte Carlo chance probabilities for the standard two-category, four-exemplar task, with sequences up to 30 touches long. Finally, we consider broader applications of the TouchStat program.