No evidence for nudging after adjusting for publication bias - PubMed (original) (raw)
No evidence for nudging after adjusting for publication bias
Maximilian Maier et al. Proc Natl Acad Sci U S A. 2022.
No abstract available
Conflict of interest statement
The authors declare no competing interest.
Figures
Fig. 1.
RoBMAPSMA model-averaged posterior mean effect size estimates with 95% credible intervals and Bayes factors for the absence of the effect for the combined sample or split by either the domain or intervention category (ignoring the clustering of SEs). BF01 quantifies evidence for the null hypothesis. BF01 larger than one corresponds to evidence in favor of the null hypothesis, and BF01 lower than one corresponds to evidence in favor of the alternative hypothesis (evidence for the alternative hypothesis can be obtained by reciprocating the Bayes factor; BF10 = 1/BF01). As a rule of thumb, Bayes factors between 3 and 10 indicate moderate evidence, and Bayes factors larger than 10 indicate strong evidence.
References
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- Lin Y., Osman M., Ashcroft R., Nudge: Concept, effectiveness, and ethics. Basic Appl. Soc. Psych. 39, 293–306 (2017).
- Vevea J. L., Woods C. M., Publication bias in research synthesis: Sensitivity analysis using a priori weight functions. Psychol. Methods 10, 428–443 (2005). -PubMed
- Doucouliagos C., Stanley T. D., Theory competition and selectivity: Are all economic facts greatly exaggerated? J. Econ. Surv. 27, 316–339 (2013).
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