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Full-Text Articles in Social and Behavioral Sciences

Effects Of A Mental-Health Clinical Simulation Experience Using Standardized Patients And Two Debriefing Styles On Prelicensure Nursing Students' Knowledge, Anxiety, And Therapeutic Communication And Psychiatric Assessment Skills, Debrayh Gaylle Jan 2015

Effects Of A Mental-Health Clinical Simulation Experience Using Standardized Patients And Two Debriefing Styles On Prelicensure Nursing Students' Knowledge, Anxiety, And Therapeutic Communication And Psychiatric Assessment Skills, Debrayh Gaylle

Doctoral Dissertations

The purpose of this quasi-experimental pretest-posttest study was to compare the effects of two debriefing styles (insimulation and postsimulation) on (a) students’ knowledge of psychiatric assessment and therapeutic communication, (b) students’ performance of a psychiatric assessment using therapeutic communication, (c) students’ perceived anxiety related to a clinical rotation in psychiatric mental-health, and (d) students’ perceptions of the efficacy of the insimulation debriefing. The participants (n = 67) were senior, prelicensure nursing students enrolled in a baccalaureate degree program. Students were assigned randomly to either the treatment or the compression group and participated in a series of simulated interviews using student …


Modeling And Simulation Of Value -At -Risk In The Financial Market Area, Xiangyin Zheng Apr 2006

Modeling And Simulation Of Value -At -Risk In The Financial Market Area, Xiangyin Zheng

Doctoral Dissertations

Value-at-Risk (VaR) is a statistical approach to measure market risk. It is widely used by banks, securities firms, commodity and energy merchants, and other trading organizations. The main focus of this research is measuring and analyzing market risk by modeling and simulation of Value-at-Risk for portfolios in the financial market area. The objectives are (1) predicting possible future loss for a financial portfolio from VaR measurement, and (2) identifying how the distributions of the risk factors affect the distribution of the portfolio. Results from (1) and (2) provide valuable information for portfolio optimization and risk management.

The model systems chosen …