Monetary Primes Increase Differences in Predicted Life-Satisfaction Between New and Old Indian Institutes of Technology (IITs)

Mukherjee, Sumitava; Nargundkar, Maithilee; Manjaly, Jaison A.

doi:10.1007/s12646-014-0259-5

Cited by 5 publications

(1 citation statement)

References 25 publications

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“…Although we were able to access most of them, we could not gain access to some reports. In one case(Mukherjee, Manjaly, Kumar, & Shah, 2015), we were unable to contact the authors of the study. In three cases(Park, Gasiorowska, & Vohs, 2015;Sarial-Abi, Hamilton, & Vohs, 2015;Sarial-Abi & Vohs, 2015), we were able to contact the first authors, but they preferred not to share their manuscripts or disclose more details of the statistical analyses.…”

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confidence: 99%

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

Vadillo¹,

Hardwicke²,

Shanks³

2016

Journal of Experimental Psychology: General

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When a series of studies fails to replicate a well-documented effect, researchers might be tempted to use a “vote counting” approach to decide whether the effect is reliable—that is, simply comparing the number of successful and unsuccessful replications. Vohs’s (2015) response to the absence of money priming effects reported by Rohrer, Pashler, and Harris (2015) provides an example of this approach. Unfortunately, vote counting is a poor strategy to assess the reliability of psychological findings because it neglects the impact of selection bias and questionable research practices. In the present comment, we show that a range of meta-analytic tools indicate irregularities in the money priming literature discussed by Rohrer et al. and Vohs, which all point to the conclusion that these effects are distorted by selection bias, reporting biases, or p-hacking. This could help to explain why money-priming effects have proven unreliable in a number of direct replication attempts in which biases have been minimized through preregistration or transparent reporting. Our major conclusion is that the simple proportion of significant findings is a poor guide to the reliability of research and that preregistered replications are an essential means to assess the reliability of money-priming effects.

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confidence: 99%

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

Vadillo¹,

Hardwicke²,

Shanks³

2016

Journal of Experimental Psychology: General

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Subjective Well-Being: Determinants and Correlates

Bhatnagar

2023

Subjective Well-Being in the Indian Context

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Positive Psychology Progress in India: Accomplishments and Pathways Ahead

Ghosh

Deb

2016

Psychol Stud

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Academy of Psychology (NAOP) India. This eoffprint is for personal use only and shall not be self-archived in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version for posting on your own website. You may further deposit the accepted manuscript version in any repository, provided it is only made publicly available 12 months after official publication or later and provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at link.springer.com".

show abstract

Monetary Primes Increase Differences in Predicted Life-Satisfaction Between New and Old Indian Institutes of Technology (IITs)

Cited by 5 publications

References 25 publications

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

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

Subjective Well-Being: Determinants and Correlates

Positive Psychology Progress in India: Accomplishments and Pathways Ahead

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