Emociones como predictores del perdón en el contexto de la violación a los derechos humanos en Chile

Manuel Cárdenas; Paula Ascorra; Marcela San Martín; Marcela Rodríguez; Darío Páez

doi:10.5027/PSICOPERSPECTIVAS-VOL12-ISSUE1-FULLTEXT-241

Emociones como predictores del perdón en el contexto de la violación a los derechos humanos en Chile

Translated title of the contribution: Emotions as predictors of forgiveness in the context of violation of human rights in Chile

Manuel Cárdenas, Paula Ascorra, Marcela San Martín, Marcela Rodríguez, Darío Páez

SCHOOL OF PSYCHOLOGY

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

Data was taken from a sample of people that were/were not affected by political violence in Chile (N=1267) in order to study the predictive ability of emotions on beliefs about forgiveness. The multiple regression analysis conducted indicates that the effect of assessed emotions, even if statistically significant, is of little relevance for the general sample (R₂=0.05). With direct victims the regression coefficient was higher than for the other groups (R₂=0.11), Emotions that are the top contributors to the explanation are wrath (b=-30), pain (b=0.26) and hope (b=0.20), predict that lower levels of wrath and higher levels of pain and hope, will increase the level of agreement in victims of political violence to forgive those that hurt them in the past.

Translated title of the contribution	Emotions as predictors of forgiveness in the context of violation of human rights in Chile
Original language	Spanish
Pages (from-to)	30-49
Number of pages	20
Journal	Psicoperspectivas
Volume	12
Issue number	1
DOIs	https://doi.org/10.5027/PSICOPERSPECTIVAS-VOL12-ISSUE1-FULLTEXT-241
State	Published - 2013

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title = "Emociones como predictores del perd{\'o}n en el contexto de la violaci{\'o}n a los derechos humanos en Chile",

abstract = "Data was taken from a sample of people that were/were not affected by political violence in Chile (N=1267) in order to study the predictive ability of emotions on beliefs about forgiveness. The multiple regression analysis conducted indicates that the effect of assessed emotions, even if statistically significant, is of little relevance for the general sample (R2=0.05). With direct victims the regression coefficient was higher than for the other groups (R2=0.11), Emotions that are the top contributors to the explanation are wrath (b=-30), pain (b=0.26) and hope (b=0.20), predict that lower levels of wrath and higher levels of pain and hope, will increase the level of agreement in victims of political violence to forgive those that hurt them in the past.",

keywords = "Emotions, Political violence, Violation of Human Rights",

author = "Manuel C{\'a}rdenas and Paula Ascorra and Mart{\'i}n, {Marcela San} and Marcela Rodr{\'i}guez and Dar{\'i}o P{\'a}ez",

year = "2013",

doi = "10.5027/PSICOPERSPECTIVAS-VOL12-ISSUE1-FULLTEXT-241",

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T1 - Emociones como predictores del perdón en el contexto de la violación a los derechos humanos en Chile

AU - Cárdenas, Manuel

AU - Ascorra, Paula

AU - Martín, Marcela San

AU - Rodríguez, Marcela

AU - Páez, Darío

PY - 2013

Y1 - 2013

N2 - Data was taken from a sample of people that were/were not affected by political violence in Chile (N=1267) in order to study the predictive ability of emotions on beliefs about forgiveness. The multiple regression analysis conducted indicates that the effect of assessed emotions, even if statistically significant, is of little relevance for the general sample (R2=0.05). With direct victims the regression coefficient was higher than for the other groups (R2=0.11), Emotions that are the top contributors to the explanation are wrath (b=-30), pain (b=0.26) and hope (b=0.20), predict that lower levels of wrath and higher levels of pain and hope, will increase the level of agreement in victims of political violence to forgive those that hurt them in the past.

AB - Data was taken from a sample of people that were/were not affected by political violence in Chile (N=1267) in order to study the predictive ability of emotions on beliefs about forgiveness. The multiple regression analysis conducted indicates that the effect of assessed emotions, even if statistically significant, is of little relevance for the general sample (R2=0.05). With direct victims the regression coefficient was higher than for the other groups (R2=0.11), Emotions that are the top contributors to the explanation are wrath (b=-30), pain (b=0.26) and hope (b=0.20), predict that lower levels of wrath and higher levels of pain and hope, will increase the level of agreement in victims of political violence to forgive those that hurt them in the past.

KW - Emotions

KW - Political violence

KW - Violation of Human Rights

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DO - 10.5027/PSICOPERSPECTIVAS-VOL12-ISSUE1-FULLTEXT-241

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Emociones como predictores del perdón en el contexto de la violación a los derechos humanos en Chile

Abstract

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