A practical solution to the pervasive problems ofp values

By Eric-Jan Wagenmakers. Psychonomic Bulletin & Review, 2007

2,356 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3b84991c4b7e8d956ad72015091066055173284b

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Citations in the corpus

Bayesian alternatives to null-hypothesis significance testing for repeated-measures designs (2016, background): “Another important alternative that is gaining traction is the Bayesian approach to model comparison and estimation (e.g., Kruschke, 2011, 2013; Rouder, Morey, Speckman, & Province, 2012; Schoot et al., 2014 and Wagenmakers, 2007).”
Degrees of Freedom in Planning, Running, Analyzing, and Reporting Psychological Studies: A Checklist to Avoid p-Hacking (2016, background): “It is well known that this type of sequential testing is problematic without any formal correction for multiple testing (Wagenmakers, 2007) and increase Type 1 error rates.”
What Are the Odds? A Practical Guide to Computing and Reporting Bayes Factors (2014, methodology): “Wagenmakers (2007) provides an excellent summary of some of the overarching issues of commonly used NHST, also referred to as the " frequentist approach.”
Ten Frequently Asked Questions About Latent Class Analysis (2018, neutral): “More specifically, 1 BF 3 suggests “weak” support for the model with less classes, 3 BF 10 suggests “moderate” support, and BF 10 suggests “strong” support (Wagenmakers, 2007; Wasserman, 1997).”
Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model (2020, methodology): “From the BF approximation (Wagenmakers, 2007), we discovered a decisive evidence that favors the merged model (BFH1> 100) over other choices.”
Estimating psychological networks and their accuracy: A tutorial paper (2016, background): “Not rejecting the null-hypothesis, however, does not necessarily constitute evidence for the null-hypothesis being true (Wagenmakers, 2007).”
A tutorial on a practical Bayesian alternative to null-hypothesis significance testing (2011, methodology): “Finally , I present a plot ( which is a variant of one used by Wagenmakers , 2007 ) to show how Bayesian posterior probabilities diverge from the NHST p value when effect size varies but sample size is adjusted to keep the NHST p value constant .”
Who lies? A large-scale reanalysis linking basic personality traits to unethical decision making (2018, methodology): “We implemented the generalized model in a Bayesian framework (Wagenmakers, 2007), which has the advantage that credibility intervals can be intuitively interpreted as the most plausible range of the parameters given the data (Hoekstra, Morey, Rouder & Wagenmakers, 2014).”
Default Bayes Factors for Model Selection in Regression (2012, background): “In this section, we brieﬂy develop the Bayes factor; more comprehensive exposition may be found in Congdon (2006) and Wagenmakers (2007).”
Bayesian Assessment of Null Values Via Parameter Estimation and Model Comparison (2011, neutral): “D et er m in e th e sa m p lin g d is tr ib u ti o n o f th e b es tfit ti n g p ar am et er va lu e if th e n u ll h yp o th es is w er e tr u e an d th e in te n d ed ex p er im en t w er e re p ea te d ad in fin it u m .”
Test Martingales, Bayes Factors and p-Values (2009, background): “Section 3 is devoted to mathematical preliminaries; in particular, it introduces the concept of a test martingale and the wider and, in general, more conservative concept of a test supermartingale.”