How Voluntary Programs and Other Initiatives Can Improve Performance and Lead to Reductions in Environmental Risk

Author(s):  
John Voorhees
2014 ◽  
Vol 45 (3) ◽  
pp. 239-245 ◽  
Author(s):  
Robert J. Calin-Jageman ◽  
Tracy L. Caldwell

A recent series of experiments suggests that fostering superstitions can substantially improve performance on a variety of motor and cognitive tasks ( Damisch, Stoberock, & Mussweiler, 2010 ). We conducted two high-powered and precise replications of one of these experiments, examining if telling participants they had a lucky golf ball could improve their performance on a 10-shot golf task relative to controls. We found that the effect of superstition on performance is elusive: Participants told they had a lucky ball performed almost identically to controls. Our failure to replicate the target study was not due to lack of impact, lack of statistical power, differences in task difficulty, nor differences in participant belief in luck. A meta-analysis indicates significant heterogeneity in the effect of superstition on performance. This could be due to an unknown moderator, but no effect was observed among the studies with the strongest research designs (e.g., high power, a priori sampling plan).


2016 ◽  
Author(s):  
Gabriel J. Merrin ◽  
Jordan P. Davis ◽  
Daniel Berry ◽  
Elizabeth J. D'Amico

2010 ◽  
Author(s):  
Thomas A. Wills ◽  
Pallav Pokhrel ◽  
Frederick X. Gibbons ◽  
James D. Sargent ◽  
Mike Stoolmiller

2009 ◽  
Author(s):  
Manjit Sidhu ◽  
Prahbhjot Malhi ◽  
Jagat Jerath

2012 ◽  
Author(s):  
M. Pugliatti ◽  
I. Casetta ◽  
J. Drulovic ◽  
E. Granieri ◽  
T. Holmøy ◽  
...  

1991 ◽  
Vol 30 (03) ◽  
pp. 187-193 ◽  
Author(s):  
H. J. Moens ◽  
J. K. van der Korst

AbstractA Bayesian decision support system was developed for the diagnosis of rheumatic disorders. Knowledge in this system is represented as evidential weights of findings. Simple weights were calculated as the logarithm of likelihood ratios on the basis of 1,000 consecutive patients from a rheumatological clinic. The effect of various methods to improve performance of the system by modification of the weights was studied. Three methods had a mathematical basis; a fourth consisted of weights adapted by a human expert, which allowed inclusion of diagnostic rules such as defined in widely accepted criteria sets. The system’s performance was measured in a test population of 570 different cases from the same clinic and compared with predictions of diagnostic outcome made by rheumatologists. The weights from a human expert gave optimal results (sensitivity 65% and specificity 96%), that were close to the physicians’ predictions (sensitivity 64% and specificity 98%). The methods to measure the performance of the various models used in this study emphasize sensitivity, specificity and the use of receiver operating characteristics.


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