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Moral foundations vignettes: a standardized stimulus database of scenarios based on moral foundations theory

Overview of attention for article published in Behavior Research Methods, January 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs
twitter
18 X users
peer_reviews
1 peer review site
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
199 Dimensions

Readers on

mendeley
428 Mendeley
Title
Moral foundations vignettes: a standardized stimulus database of scenarios based on moral foundations theory
Published in
Behavior Research Methods, January 2015
DOI 10.3758/s13428-014-0551-2
Pubmed ID
Authors

Scott Clifford, Vijeth Iyengar, Roberto Cabeza, Walter Sinnott-Armstrong

Abstract

Research on the emotional, cognitive, and social determinants of moral judgment has surged in recent years. The development of moral foundations theory (MFT) has played an important role, demonstrating the breadth of morality. Moral psychology has responded by investigating how different domains of moral judgment are shaped by a variety of psychological factors. Yet, the discipline lacks a validated set of moral violations that span the moral domain, creating a barrier to investigating influences on judgment and how their neural bases might vary across the moral domain. In this paper, we aim to fill this gap by developing and validating a large set of moral foundations vignettes (MFVs). Each vignette depicts a behavior violating a particular moral foundation and not others. The vignettes are controlled on many dimensions including syntactic structure and complexity making them suitable for neuroimaging research. We demonstrate the validity of our vignettes by examining respondents' classifications of moral violations, conducting exploratory and confirmatory factor analysis, and demonstrating the correspondence between the extracted factors and existing measures of the moral foundations. We expect that the MFVs will be beneficial for a wide variety of behavioral and neuroimaging investigations of moral cognition.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 428 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
Portugal 1 <1%
Ireland 1 <1%
Luxembourg 1 <1%
Unknown 421 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 100 23%
Student > Master 63 15%
Student > Bachelor 49 11%
Researcher 48 11%
Professor > Associate Professor 21 5%
Other 75 18%
Unknown 72 17%
Readers by discipline Count As %
Psychology 212 50%
Social Sciences 47 11%
Business, Management and Accounting 23 5%
Neuroscience 10 2%
Computer Science 9 2%
Other 39 9%
Unknown 88 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 50. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 April 2024.
All research outputs
#857,114
of 25,623,883 outputs
Outputs from Behavior Research Methods
#56
of 2,559 outputs
Outputs of similar age
#10,984
of 361,821 outputs
Outputs of similar age from Behavior Research Methods
#1
of 23 outputs
Altmetric has tracked 25,623,883 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,559 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 361,821 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.