Assess your program for probability of success using the reliability scorecard tool

2004 ◽  
Author(s):  
R.J. Miller ◽  
J. Green ◽  
D. Herrmann ◽  
D. Heer
Keyword(s):  
Probability Of Success

A Latent State-Trait Analysis of Current Achievement Motivation Across Different Tasks of Cognitive Ability

2017 ◽  
Vol 33 (5) ◽  
pp. 318-327
Author(s):  
Philipp Alexander Freund ◽  
Vanessa Katharina Jaensch ◽  
Franzis Preckel
Keyword(s):  
Cognitive Ability ◽  
Task Performance ◽  
Achievement Motivation ◽  
Fear Of Failure ◽  
Specific Task ◽  
Test Taker ◽  
Specific Interest ◽  
Probability Of Success ◽  
Ability Tests ◽  
Perceived Challenge

Abstract. The current study investigates the behavior of task-specific, current achievement motivation (CAM: interest in the task, probability of success, perceived challenge, and fear of failure) across a variety of reasoning tasks featuring verbal, numerical, and figural content. CAM is conceptualized as a state-like variable, and in order to assess the relative stability of the four CAM variables across different tasks, latent state trait analyses are conducted. The major findings indicate that the degree of challenge a test taker experiences and the fear of failing a given task appear to be relatively stable regardless of the specific task utilized, whereas interest and probability of success are more directly influenced by task-specific characteristics and demands. Furthermore, task performance is related to task-specific interest and probability of success. We discuss the implications and benefits of these results with regard to the use of cognitive ability tests in general. Importantly, taking motivational differences between test takers into account appears to offer valuable information which helps to explain differences in task performance.

Can Preparing for Failure Reduce the Probability of Success?

2014 ◽  
Author(s):  
Jihae Shin ◽  
Katherine L. Milkman
Keyword(s):  
Probability Of Success

The Ethics of Unwinnable War

2017 ◽  
Author(s):  
Dominic Tierney
Keyword(s):  
High Probability ◽  
Just War ◽  
Just War Theory ◽  
Moral Dilemmas ◽  
Probability Of Success ◽  
Military Campaigns ◽  
Military Campaign

According to just war theory, military campaigns should only be fought as a last resort, with the goal of correcting a grave evil, and where there is a high probability of success. But what happens when a military campaign unravels and becomes unwinnable? How can a leader reconcile just war theory with the need to extricate the country from a quagmire? In recent decades, US presidents have repeatedly faced such moral dilemmas, as campaigns in Korea, Vietnam, Afghanistan, and Iraq all became unwinnable. When victory is no longer achievable, leaders should dial down the goals of the war, resist the pressure to embrace barbarism, negotiate with the adversary, and seek the best possible peace from the range of plausible alternatives.

Cost-effectiveness Analysis of Submandibular Gland Preservation With Sialendoscopy for the Management of Sialolithiasis

2021 ◽  
pp. 019459982110268
Author(s):  
Joseph R. Acevedo ◽  
Ashley C. Hsu ◽  
Jeffrey C. Yu ◽  
Dale H. Rice ◽  
Daniel I. Kwon ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Submandibular Gland ◽  
Average Cost ◽  
Cost Effective ◽  
Cost Effectiveness Analysis ◽  
Effectiveness Analysis ◽  
Life Years ◽  
Probability Of Success ◽  
Markov Decision Model ◽  
The Cost

Objective To compare the cost-effectiveness of sialendoscopy with gland excision for the management of submandibular gland sialolithiasis. Study Design Cost-effectiveness analysis. Setting Outpatient surgery centers. Methods A Markov decision model compared the cost-effectiveness of sialendoscopy versus gland excision for managing submandibular gland sialolithiasis. Surgical outcome probabilities were found in the primary literature. The quality of life of patients was represented by health utilities, and costs were estimated from a third-party payer’s perspective. The effectiveness of each intervention was measured in quality-adjusted life-years (QALYs). The incremental costs and effectiveness of each intervention were compared, and a willingness-to-pay ratio of $150,000 per QALY was considered cost-effective. One-way, multivariate, and probabilistic sensitivity analyses were performed to challenge model conclusions. Results Over 10 years, sialendoscopy yielded 9.00 QALYs at an average cost of $8306, while gland excision produced 8.94 QALYs at an average cost of $6103. The ICER for sialendoscopy was $36,717 per QALY gained, making sialendoscopy cost-effective by our best estimates. The model was sensitive to the probability of success and the cost of sialendoscopy. Sialendoscopy must meet a probability-of-success threshold of 0.61 (61%) and cost ≤$11,996 to remain cost-effective. A Monte Carlo simulation revealed sialendoscopy to be cost-effective 60% of the time. Conclusion Sialendoscopy appears to be a cost-effective management strategy for sialolithiasis of the submandibular gland when certain thresholds are maintained. Further studies elucidating the clinical factors that determine successful sialendoscopy may be aided by these thresholds as well as future comparisons of novel technology.

scholarly journals Hybrid Verification Technique for Decision-Making of Self-Driving Vehicles

2021 ◽  
Vol 10 (3) ◽  
pp. 42
Author(s):  
Mohammed Al-Nuaimi ◽  
Sapto Wibowo ◽  
Hongyang Qu ◽  
Jonathan Aitken ◽  
Sandor Veres
Keyword(s):  
Decision Making ◽  
Autonomous Vehicle ◽  
Autonomous Driving ◽  
Practical Implementation ◽  
Model Checker ◽  
Multi Agent Systems ◽  
Time Operation ◽  
Bdi Agent ◽  
Perception System ◽  
Probability Of Success

The evolution of driving technology has recently progressed from active safety features and ADAS systems to fully sensor-guided autonomous driving. Bringing such a vehicle to market requires not only simulation and testing but formal verification to account for all possible traffic scenarios. A new verification approach, which combines the use of two well-known model checkers: model checker for multi-agent systems (MCMAS) and probabilistic model checker (PRISM), is presented for this purpose. The overall structure of our autonomous vehicle (AV) system consists of: (1) A perception system of sensors that feeds data into (2) a rational agent (RA) based on a belief–desire–intention (BDI) architecture, which uses a model of the environment and is connected to the RA for verification of decision-making, and (3) a feedback control systems for following a self-planned path. MCMAS is used to check the consistency and stability of the BDI agent logic during design-time. PRISM is used to provide the RA with the probability of success while it decides to take action during run-time operation. This allows the RA to select movements of the highest probability of success from several generated alternatives. This framework has been tested on a new AV software platform built using the robot operating system (ROS) and virtual reality (VR) Gazebo Simulator. It also includes a parking lot scenario to test the feasibility of this approach in a realistic environment. A practical implementation of the AV system was also carried out on the experimental testbed.

Geological probability of success assessment for amplitude-driven Prospects:A Nile Delta case study

2021 ◽  
Vol 202 ◽  
pp. 108515
Author(s):  
N. Nosjean ◽  
R. Holeywell ◽  
H.S. Pettingill ◽  
R. Roden ◽  
M. Forrest
Keyword(s):  
Nile Delta ◽  
Probability Of Success
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