Cited by 22Mindfulness and Compassion InterventionsPsychological Well-being and Life SatisfactionIndian and Buddhist Studies

The Head and the Heart: Effects of Understanding and Experiencing Lovingkindness on Attitudes Toward the Self and Others

Kang, Yoona, Gray, Jeremy R., Dovidio, John F.·2015·Mindfulness

Integrity signals

Registry

Crossref · 10.1007/s12671-014-0355-6

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  • Four of 7 low-risk studies found support for improvements in self-reported empathy or compassion as compared to wait-list and active control groups.

    “There were 7 low-risk studies and 4 found support for improvements in self-reported empathy or compassion as compared to wait-list (Jazaieri et al., 2013; Shapiro, Brown, Thoresen, & Plante, 2010) and active control groups (Kang, Gray, & Dovidio, 2015; Schonert-Reichl et al., 2015).”

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References 38 · Cited by 22

Authors
Kang, Y., Gray, J. R., & Dovidio, J. F.
Affiliations
  • University of Pennsylvania (US)
  • Michigan State University (US)
  • Yale University (US)
Corresponding author
Kang, Yoona
Venue
Mindfulness
Published
2014-10-25
Volume
6
Issue
5
Pages
1063-1070
ISSN
  • 1868-8527 (ISSN-L)
  • 1868-8535
OpenAlex
W2041717364
Cited by
22
References
38
Citations by year
2025: 1 · 2024: 2 · 2022: 5 · 2021: 3 · 2020: 3 · 2018: 3 · 2017: 2 · 2016: 1 · 2015: 2
FWCI
1.97
Type
journal article
Language
en
Open access
closed
Locations
Mindfulness (publishedVersion)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
  • Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
  • Social Sciences › Arts and Humanities › Religious studies › Indian and Buddhist Studies
Keywords
attitudes toward others, compassion, group discussion, knowledge-based interventions, social functioning, self-compassion

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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