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Replication of Experiments Evaluating Impact of Psychological Distance on Moral Judgment : ( Eyal, Liberman & Trope, 2008 ; Gong & Medin, 2012 )

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      Eyal, Liberman, and Trope (2008) established that people judged moral transgressions more harshly and virtuous acts more positively when the acts were psychologically distant than close. In a series of conceptual and direct replications, Gong and Medin (2012) came to the opposite conclusion. Attempting to resolve these inconsistencies, we conducted four high-powered replication studies in which we varied temporal distance (Studies 1 and 3), social distance (Study 2) or construal level (Study 4), and registered their impact on moral judgment. We found no systematic effect of temporal distance, the effect of social distance consistent with Eyal et al., and the reversed effect of direct construal level manipulation, consistent with Gong and Medin. Possible explanations for the incompatible results are discussed.

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      Most cited references 32

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      Back-Translation for Cross-Cultural Research

       R W Brislin (1970)
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        The emotional dog and its rational tail: a social intuitionist approach to moral judgment.

         J Haidt (2001)
        Research on moral judgment has been dominated by rationalist models, in which moral judgment is thought to be caused by moral reasoning. The author gives 4 reasons for considering the hypothesis that moral reasoning does not cause moral judgment; rather, moral reasoning is usually a post hoc construction, generated after a judgment has been reached. The social intuitionist model is presented as an alternative to rationalist models. The model is a social model in that it deemphasizes the private reasoning done by individuals and emphasizes instead the importance of social and cultural influences. The model is an intuitionist model in that it states that moral judgment is generally the result of quick, automatic evaluations (intuitions). The model is more consistent that rationalist models with recent findings in social, cultural, evolutionary, and biological psychology, as well as in anthropology and primatology.
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          Bayesian t tests for accepting and rejecting the null hypothesis.

          Progress in science often comes from discovering invariances in relationships among variables; these invariances often correspond to null hypotheses. As is commonly known, it is not possible to state evidence for the null hypothesis in conventional significance testing. Here we highlight a Bayes factor alternative to the conventional t test that will allow researchers to express preference for either the null hypothesis or the alternative. The Bayes factor has a natural and straightforward interpretation, is based on reasonable assumptions, and has better properties than other methods of inference that have been advocated in the psychological literature. To facilitate use of the Bayes factor, we provide an easy-to-use, Web-based program that performs the necessary calculations.

            Author and article information

            [ 1 ] Department of Psychology, University of Belgrade, Serbia
            Author notes
            Iris Žeželj, Faculty of Philosophy, University of Belgrade, Čika Ljubina 18-20, 11000 Belgrade, Serbia, izezelj@
            Social Psychology
            Hogrefe Publishing
            May 2014
            : 45
            : 3
            : 223-231
            zsp_45_3_223 10.1027/1864-9335/a000188
            Self URI (journal-page):


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