scholarly journals Sensitivity analysis is a useful tool for detecting influential observations

2019 ◽  
Author(s):  
Samuel A Mehr
Keyword(s):  
Sensitivity Analysis ◽  
Positive Psychology ◽  
Data Collection ◽  
False Positive ◽  
Original Data ◽  
Influential Observations ◽  
Data Collection And Analysis ◽  
Spurious Result

I ran a sensitivity analysis on the original data from "False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant." (Simmons et al., 2011, Psych Science) and found that the intentionally spurious result reported therein was attributable to a single outlier. This is presented as an example of why sensitivity analysis is a useful piece of the analytic toolkit in psychology.

scholarly journals False-Positive Psychology

2011 ◽  
Vol 22 (11) ◽  
pp. 1359-1366 ◽  
Author(s):  
Joseph P. Simmons ◽  
Leif D. Nelson ◽  
Uri Simonsohn
Keyword(s):  
Positive Psychology ◽  
Data Collection ◽  
Computer Simulations ◽  
False Positive ◽  
Low Cost ◽  
Significant Evidence ◽  
Publication Process ◽  
Low Rate

In this article, we accomplish two things. First, we show that despite empirical psychologists’ nominal endorsement of a low rate of false-positive findings (≤ .05), flexibility in data collection, analysis, and reporting dramatically increases actual false-positive rates. In many cases, a researcher is more likely to falsely find evidence that an effect exists than to correctly find evidence that it does not. We present computer simulations and a pair of actual experiments that demonstrate how unacceptably easy it is to accumulate (and report) statistically significant evidence for a false hypothesis. Second, we suggest a simple, low-cost, and straightforwardly effective disclosure-based solution to this problem. The solution involves six concrete requirements for authors and four guidelines for reviewers, all of which impose a minimal burden on the publication process.

scholarly journals A Biomechanical Analysis of Handcycling: A Case Study

2010 ◽  
Vol 26 (2) ◽  
pp. 240-245 ◽  
Author(s):  
Arnaud Faupin ◽  
Philippe Gorce ◽  
Eric Watelain ◽  
Christophe Meyer ◽  
Andre Thevenon
Keyword(s):  
Data Collection ◽  
Muscle Activity ◽  
Movement Analysis ◽  
Original Data ◽  
Pattern Generation ◽  
Biomechanical Analysis ◽  
Analysis Methodology ◽  
Data Collection And Analysis ◽  
Preliminary Study

The aim of this study was to investigate muscle activity, kinematic, and handgrip-force pattern generation during handcycling. One able-bodied participant performed a 1-min exercise test on a handcycle at 70 revolutions per minute. This article proposes an original data collection and analysis methodology that gathers synchronized kinematics, kinetics, and electromyography. Such data, which most often appear complex, are easily summarized using this methodology. This preliminary study has an new setup and offers good indications on the biomechanical pattern for handcycling movement analysis.

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