scholarly journals Specification of Policy Rules and Performance Measures in Multicountry Simulation Studies

1992 ◽  
Author(s):  
Bennett T. McCallum
Keyword(s):  
Performance Measures ◽  
Simulation Studies ◽  
Policy Rules ◽  
And Performance

scholarly journals INTEREST: INteractive Tool for Exploring REsults from Simulation sTudies

2021 ◽  
Vol 1 (4) ◽  
Author(s):  
Alessandro Gasparini ◽  
Tim P. Morris ◽  
Michael J. Crowther
Keyword(s):  
Performance Measures ◽  
Standard Errors ◽  
Simulation Studies ◽  
Computational Tools ◽  
New Methods ◽  
Interactive Tool ◽  
Web App ◽  
Modelling Assumptions ◽  
And Performance ◽  
Simulation Parameters

Simulation studies allow us to explore the properties of statistical methods.They provide a powerful tool with a multiplicity of aims; among others: evaluating and comparing new or existing statistical methods, assessing violations of modelling assumptions, helping with the understanding of statistical concepts, and supporting the design of clinical trials.The increased availability of powerful computational tools and usable software has contributed to the rise of simulation studies in the current literature.However, simulation studies involve increasingly complex designs, making it difficult to provide all relevant results clearly.Dissemination of results plays a focal role in simulation studies: it can drive applied analysts to use methods that have been shown to perform well in their settings, guide researchers to develop new methods in a promising direction, and provide insights into less established methods.It is crucial that we can digest relevant results of simulation studies.Therefore, we developed INTEREST: an INteractive Tool for Exploring REsults from Simulation sTudies.The tool has been developed using the Shiny framework in R and is available as a web app or as a standalone package.It requires uploading a tidy format dataset with the results of a simulation study in R, Stata, SAS, SPSS, or comma-separated format.A variety of performance measures are estimated automatically along with Monte Carlo standard errors; results and performance summaries are displayed both in tabular and graphical fashion, with a wide variety of available plots.Consequently, the reader can focus on simulation parameters and estimands of most interest.In conclusion, INTEREST can facilitate the investigation of results from simulation studies and supplement the reporting of results, allowing researchers to share detailed results from their simulations and readers to explore them freely.

Cognitive and affective benefits of colouring: Two randomized controlled crossover studies

2018 ◽  
Author(s):  
Nicola Jane Holt ◽  
Leah Furbert ◽  
Emily Sweetingham
Keyword(s):  
Selective Attention ◽  
Performance Measures ◽  
Divergent Thinking ◽  
Attention Task ◽  
Creative Cognition ◽  
Randomized Controlled ◽  
Mindful Attention ◽  
Crossover Studies ◽  
And Performance ◽  
Implicit Mood

The current research sought to replicate and extend work suggesting that coloring can reduce anxiety, asking whether coloring can improve cognitive performance. In two experiments undergraduates (N = 47; N = 52) colored and participated in a control condition. Subjective and performance measures of mood and mindfulness were included: an implicit mood test (Experiment 1) and a selective attention task (Experiment 2) along with a divergent thinking test. In both experiments coloring significantly reduced anxiety and increased mindfulness compared with control and baseline scores. Following coloring participants scored significantly lower on implicit fear, than the control condition, and significantly higher on selective attention and original ideation. Coloring may not only reduce anxiety, but also improve mindful attention and creative cognition.

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