scholarly journals A method to streamline p-hacking

2018 ◽  
Author(s):  
Ian Hussey

The analytic strategy of p-hacking has rapidly accelerated the achievement of psychological scientists’ goals (e.g., publications & tenure), but has suffered a number of setbacks in recent years. In order to remediate this, this article presents a statistical inference method that can greatly accelerate and streamline the p-hacking process: generating random numbers that are < .05. I refer to this approach as pointless. Results of a simulation study are presented and an R script is provided for others to use. In the absence of systemic changes to modal p-hacking practices within psychological science (e.g., worrying trends such as preregistration and replication), I argue that vast amounts of time and research funding could be saved through the widespread adoption of this innovative approach.

2021 ◽  
Vol 5 ◽  
Author(s):  
Ian Hussey

The analytic strategy of p-hacking has rapidly accelerated the achievement of psychological scientists’ goals (e.g., publications & tenure), but has suffered a number of setbacks in recent years. In order to remediate this, this article presents a statistical inference measure that can greatly accelerate and streamline the p-hacking process: generating random numbers that are < .05. I refer to this approach as pointless. Results of a simulation study are presented and an R script is provided for others to use. In the absence of systemic changes to modal p-hacking practices within psychological science (e.g., worrying trends such as preregistration and replication), I argue that vast amounts of time and research funding could be saved through the widespread adoption of this innovative approach.


2009 ◽  
Vol 9 (22) ◽  
pp. 4071-4075 ◽  
Author(s):  
R. Ayanzadeh ◽  
K. Hassani ◽  
Y. Moghaddas ◽  
H. Gheiby ◽  
S. Setayeshi

2017 ◽  
Vol 6 (4) ◽  
pp. 135
Author(s):  
Hamza Dhaker ◽  
Papa Ngom ◽  
Malick Mbodj

This article is devoted to the study of overlap measures of densities of two exponential populations. Various Overlapping Coefficients, namely: Matusita’s measure ρ, Morisita’s measure λ and Weitzman’s measure ∆. A new overlap measure Λ based on Kullback-Leibler measure is proposed. The invariance property and a method of statistical inference of these coefficients also are presented. Taylor series approximation are used to construct confidence intervals for the overlap measures. The bias and mean square error properties of the estimators are studied through a simulation study.


AIAA Journal ◽  
2019 ◽  
Vol 57 (3) ◽  
pp. 1055-1065 ◽  
Author(s):  
R. Roncen ◽  
F. Méry ◽  
E. Piot ◽  
F. Simon

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