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Social and Behavioral Sciences Commons™
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Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
Attentional Control In Young Drivers: Does Training Help Or Hinder Bottom-Up Processing In A Dynamic Driving Environment?, Sarah Elizabeth Yahoodik
Attentional Control In Young Drivers: Does Training Help Or Hinder Bottom-Up Processing In A Dynamic Driving Environment?, Sarah Elizabeth Yahoodik
Psychology Theses & Dissertations
Anticipating hidden hazards on the road is a critical skill for safe driving, one that many young and novice drivers lack. Training programs are shown to improve hazard anticipation performance in young drivers, but whether these training effects persist in the presence of salient and potentially distracting stimuli remains relatively less explored. In this study, we examined whether the effectiveness of an existing driving training program, Risk Awareness Perception Training (RAPT), on increasing latent hazard anticipation on the road persisted with extraneous bottom-up stimuli in the road environment. Forty-one young drivers, aged 18-21, completed a series of driving scenarios with …
A Phenomenological Investigation Of Counselors’ Experiences With Clients Affected By Problematic Internet Pornography Use, Kendall R. Sparks
A Phenomenological Investigation Of Counselors’ Experiences With Clients Affected By Problematic Internet Pornography Use, Kendall R. Sparks
Counseling & Human Services Theses & Dissertations
The primary researcher conducted a phenomenological study examining the experiences of licensed professional counselors (n = 8) who have worked with clients affected by problematic Internet pornography use. There were five female participants with an average age of 49 and three males with an average age of 63. All eight participants identified as Christian. Four participants reported their highest level of education was a Master’s degree, three participants reported holding a Ph.D. and one participant reported holding an Ed.S. Through semi-structured interviews, the primary researcher of this study sought to gain an understanding of how counselors were experiencing and navigating …
Middle Managers & Leadership Trainings For Effective Senior Leadership Positions In Public Organizations; Applications In Emergency Management, Norah Alshayhan, Juita-Elena Wie Yusuf
Middle Managers & Leadership Trainings For Effective Senior Leadership Positions In Public Organizations; Applications In Emergency Management, Norah Alshayhan, Juita-Elena Wie Yusuf
College of Business (Strome) Posters
Leaders and training are vital dimensions of organizational development and effectiveness. Availing leadership programs provide continuous learning to the leaders in public sector organizations. However, leaders in senior positions in the public sector organizations have faced struggles and obstacles that inhibit their capacity to drive organizational agenda. Therefore, understanding the relationship between the training programs and the performance of the leaders in the senior positions is vital. The study will discover the struggles and obstacles experienced by the public-service leader and the impact training middle managers the leadership skills. The study hopes to propose a training program for middle managers …
Shipbuilding Supply Chain Framework And Digital Transformation: A Project Portfolios Risk Evaluation, Rafael Diaz, Katherine Smith, Rafael Landaeta, Antonio Padovano
Shipbuilding Supply Chain Framework And Digital Transformation: A Project Portfolios Risk Evaluation, Rafael Diaz, Katherine Smith, Rafael Landaeta, Antonio Padovano
VMASC Publications
Program portfolio managers in digital transformation programs have a need for knowledge that can guide decisions related to the alignment of program investments with the sustainability and strategic objectives of the organization. The purpose of this research is to illustrate the utility of a framework capable of clarifying the cost-benefit tradeoffs stemming from assessing digitalization program investment risks in the military shipbuilding sector. Our approach uses Artificial Neural Network to quantify benefits and risks per project while employing scenario analysis to quantify the effects of operational constraints. A Monte Carlo model is used to generate data samples that support the …