Literature DB >> 25484109

What p-hacking really looks like: a comment on Masicampo and LaLande (2012).

Daniël Lakens1.   

Abstract

Mesh：

Year:  2014        PMID： 25484109     DOI： 10.1080/17470218.2014.982664

Source DB:  PubMed          Journal:  Q J Exp Psychol (Hove)        ISSN： 1747-0218            Impact factor:   2.143


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  12 in total

1.  Sample size, statistical power, and false conclusions in infant looking-time research.

Authors:  Lisa M Oakes
Journal:  Infancy       Date:  2014-04-05

2.  A surge of p-values between 0.041 and 0.049 in recent decades (but negative results are increasing rapidly too).

Authors:  Joost Cf de Winter; Dimitra Dodou
Journal:  PeerJ       Date:  2015-01-22       Impact factor: 2.984

3.  Distributions of p-values smaller than .05 in psychology: what is going on?

Authors:  Chris H J Hartgerink; Robbie C M van Aert; Michèle B Nuijten; Jelte M Wicherts; Marcel A L M van Assen
Journal:  PeerJ       Date:  2016-04-11       Impact factor: 2.984

4.  Problems in using p-curve analysis and text-mining to detect rate of p-hacking and evidential value.

Authors:  Dorothy V M Bishop; Paul A Thompson
Journal:  PeerJ       Date:  2016-02-18       Impact factor: 2.984

5.  Reanalyzing Head et al. (2015): investigating the robustness of widespread p-hacking.

Authors:  Chris H J Hartgerink
Journal:  PeerJ       Date:  2017-03-02       Impact factor: 2.984

6.  On the challenges of drawing conclusions from p-values just below 0.05.

Authors:  Daniël Lakens
Journal:  PeerJ       Date:  2015-07-30       Impact factor: 2.984

7.  Selection bias, vote counting, and money-priming effects: A comment on Rohrer, Pashler, and Harris (2015) and Vohs (2015).

Authors:  Miguel A Vadillo; Tom E Hardwicke; David R Shanks
Journal:  J Exp Psychol Gen       Date:  2016-05

8.  Outcome Reporting Bias in Government-Sponsored Policy Evaluations: A Qualitative Content Analysis of 13 Studies.

Authors:  Arnaud Vaganay
Journal:  PLoS One       Date:  2016-09-30       Impact factor: 3.240

9.  p-Curve and p-Hacking in Observational Research.

Authors:  Stephan B Bruns; John P A Ioannidis
Journal:  PLoS One       Date:  2016-02-17       Impact factor: 3.240

10.  Conducting Meta-Analyses Based on p Values: Reservations and Recommendations for Applying p-Uniform and p-Curve.

Authors:  Robbie C M van Aert; Jelte M Wicherts; Marcel A L M van Assen
Journal:  Perspect Psychol Sci       Date:  2016-09
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