527 research outputs found
Freshman learning communities, college performance, and retention
This paper applies a standard treatment effects model to determine that participation in Freshman Learning Communities (FLCs) improves academic performance and retention. Not controlling for individual self-selection into FLC participation leads one to incorrectly conclude that the impact is the same across race and gender groups. Accurately assessing the impact of any educational program is essential in determining what resources institutions should devote to it.
Tension and Energy: Components of Arousal and their Effect on Intention to Give
In the current study we explore a multidimensional conceptualization of arousal to better understand the effect of donation appeals incorporating negative messages on intention to give. More specifically, an experiment is conducted to determine whether varying the level of message negativity has an impact on donor intentions to give where the mechanism by which intentions increase is examined. Using structural equation modeling, the relationship between message negativity, two dimensions of arousal (tension and energy) and intention to donate is estimated. We collected data using the background of an on-campus fund raising program for abused Afghani women held at a mid-size, southern university. The university’s freshman reading program using the book “Three Cups of Tea” generated a student fund raising initiative to support an educational initiative in Afghanistan. We developed a simulated donation message to induce activation/arousal and then measured arousal and intention to give. Two descriptions of the life of women in Afghanistan were developed as the stimuli messages for the experiment and presented to the subjects under the heading “EDUCATION FOR AFGHAN WOMEN.” The scenarios were developed from the descriptions in “Three Cups of Tea” to portray a negative and arousal-producing situation. Scenario Two was designed to produce a higher level of arousal with description of assaults with acid and self- immolation. The findings suggest message negativity positively influences donor intentions to give via the generation of tension. While increased energy levels were also observed among participants exposed to more negative messages, this did not translate into greater donation intentions. The implications of these findings and suggestions for future research are discusse
Making the Case for a Business Intelligence Framework
This research is intended to develop evidence for whether or not large organizations should spend a large amount of time and resources on building Business Intelligence Frameworks by examining Project Manager’s perceptions of complex information systems. Project Managers in a large organization provide a cross functional reporting role that requires them to delve into information technology systems in complex ways when querying for simple metrics related to projects they manage. Using an online survey, this study found that project manager’s perceptions changed more positively towards IT systems performing automatic queries, web based queries, IT systems, and business intelligence system dashboards if they did not already have a business intelligence framework in place, and if they were less experienced. More experienced project managers had lower perceptions of current IT systems, automatic queries, web-based queries, and dashboards. There is evidence to suggest that business intelligence frameworks will be positively perceived for project managers with lower experience, and where these systems have not already been introduced
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Exploring the Effects of Non-traditional Narrative Video Ads on Tourism Intentions Among Viewers with and without Previous Destination Experience.
Tourism is a storying and narrative experience that weaves multiple accounts about travel destinations, sites, and people into consumer expectations and perceptions of what is authentic in a travel experience (Chronis 2012a, Moscardo 2010, Bruner 2005). Story-telling narratives use the natural link of human experience often shared with others (Zhong et al. 2017, Mossberg 2008, McCabe and Foster 2006) and have become a helpful communication tool for understanding and promoting tourism (Zhong, Yun, Busser, and Baloglu 2017). Story-telling narration provides a valuable framework in which the destination is portrayed as believable and authentic to potential tourists (Kim and Yuon 2017).
Our research has two main objectives: 1.) to explore the influence of narrative video advertisements on perceptions of authenticity, and 2.) to determine the role of individual differences and their effects on perceptions of authenticity. Our study\u27s two ads were specifically designed to feature attributes not commonly part of the City\u27s authentic historical appeal. As such, the focus of the ads could be perceived as less authentic by the viewer. We examine the role of narrative story-telling in shaping positive perceptions of authenticity for advertisements that explore non-traditional tourism appeals. We further explore how the viewer\u27s prior visits to the Cityinfluence perceptions of authenticity and subsequent ad effectiveness. The promotion of non-historic features was designed to influence repeat visits with something new to experience and potential visitors who might be more interested in non-historic experiences. Previous visitors might not be open to stories related to activities that were not necessarily related to their previous visits and find the ad less authentic but still respond to new experiences\u27 potential
Logical Step-Indexed Logical Relations
Appel and McAllester's "step-indexed" logical relations have proven to be a
simple and effective technique for reasoning about programs in languages with
semantically interesting types, such as general recursive types and general
reference types. However, proofs using step-indexed models typically involve
tedious, error-prone, and proof-obscuring step-index arithmetic, so it is
important to develop clean, high-level, equational proof principles that avoid
mention of step indices. In this paper, we show how to reason about binary
step-indexed logical relations in an abstract and elegant way. Specifically, we
define a logic LSLR, which is inspired by Plotkin and Abadi's logic for
parametricity, but also supports recursively defined relations by means of the
modal "later" operator from Appel, Melli\`es, Richards, and Vouillon's "very
modal model" paper. We encode in LSLR a logical relation for reasoning
relationally about programs in call-by-value System F extended with general
recursive types. Using this logical relation, we derive a set of useful rules
with which we can prove contextual equivalence and approximation results
without counting steps
The Whole Counsel of God: A Tribute to E. Herbert Nygren
Herb Nygren has served Taylor University faithfully for over twenty years. As chair of the Department of Biblical Studies, Christian Education, and Philosophy, he has modelled sound teaching and solid scholarship. Upon retirement, he leaves us a legacy of dedication, service, and love for Christ. The members of his department offer these essays as a small token of our esteem.https://pillars.taylor.edu/ayres-collection-books/1019/thumbnail.jp
Longitudinal Research on Aging Drivers (LongROAD): study design and methods
Background:
As an important indicator of mobility, driving confers a host of social and health benefits to older adults. Despite the importance of safe mobility as the population ages, longitudinal data are lacking about the natural history and determinants of driving safety in older adults.
Methods:
The Longitudinal Research on Aging Drivers (LongROAD) project is a multisite prospective cohort study designed to generate empirical data for understanding the role of medical, behavioral, environmental and technological factors in driving safety during the process of aging.
Results:
A total of 2990 active drivers aged 65–79 years at baseline have been recruited through primary care clinics or health care systems in five study sites located in California, Colorado, Maryland, Michigan, and New York. Consented participants were assessed at baseline with standardized research protocols and instruments, including vehicle inspection, functional performance tests, and “brown-bag review” of medications. The primary vehicle of each participant was instrumented with a small data collection device that records detailed driving data whenever the vehicle is operating and detects when a participant is driving. Annual follow-up is being conducted for up to three years with a telephone questionnaire at 12 and 36 months and in-person assessment at 24 months. Medical records are reviewed annually to collect information on clinical diagnoses and healthcare utilization. Driving records, including crashes and violations, are collected annually from state motor vehicle departments. Pilot testing was conducted on 56 volunteers during March–May 2015. Recruitment and enrollment were completed between July 2015 and March 2017.
Conclusions:
Results of the LongROAD project will generate much-needed evidence for formulating public policy and developing intervention programs to maintain safe mobility while ensuring well-being for older adults
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