ultimate attribution error
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Author(s):  
Thomas F. Pettigrew

Intergroup attribution refers to causal attributions that people make about the behavior of out-groups and their own in-group. Attribution theory began in the late 1950s and 1960s. This initial interest was limited to how individuals causally interpreted the behavior of other individuals. But in the 1970s social psychologists began to consider causal attributions made about groups. The guiding theory for research in this area has been largely structured by the predictions of the ultimate attribution error (more accurately described as the intergroup attribution bias). Its principal contentions flow from phenomena already uncovered by attribution research on individual behavior. It holds that group attributions, especially among the highly prejudiced, will be biased for the in-group and against out-groups. Ingroup protection (explaining away negative ingroup behavior as situationally determined – “given the situation, we had to act that way”) is typically a stronger effect than ingroup enhancement (accepting positive ingroup behavior as dispositionally determined – “as a people, we are kind and compassionate toward other groups”). Many moderators and mediators of the effect have been uncovered. Asian cultures, for example, tend to be less prone to the intergroup attribution bias, while strong emotions can induce either more or less of the bias. Similarly, empathy and special training can significantly reduce the bias. Together with such closely related processes as the fundamental attribution error and actor-observer asymmetry, the intergroup attribution bias has proven highly useful in a great variety of applications. Moreover, the intergroup attribution bias serves as an integral component of the intergroup prejudice syndrome.


2019 ◽  
Vol 8 (1) ◽  
pp. 128-166
Author(s):  
Claudia G. Ammann

 In this essay I want to concentrate on observers’ baseline assumptions on how we should be, or should have become in order to be accounted as morally ‘good.’ I will point out the significance for adult children who decided to not care for their elder parents. In three selected studies I show that observers, in trying to explain the decisions of others, or their moral development, respectively moral standing, misjudge or ignore their own implicit baseline assumptions. These assumptions are symptomatic of an implic­it belief in all of us that wishes to see that ’good begets good’ for most of us, and infers, thereafter, that ‘bad begets bad’ for some who would show ‘no good.’ It is this implicit belief that guides the observers to make assumptions about the morally doubtful upbringing of a person, or their negative behavior that they wish to explain by flaws in the person’s personality. This biased belief says “it is this way, and only this way”, but, in fact, one cannot be certain about it. The baseline assumptions that observers bring along are basically the biased observer’s points of view which can be explained with the ultimate attribution error.


2016 ◽  
Vol 47 (2) ◽  
pp. 74-86 ◽  
Author(s):  
Laura Froehlich ◽  
Sarah E. Martiny ◽  
Kay Deaux ◽  
Sog Yee Mok

Abstract. In many countries, there is a gap in academic performance between native-born students and students with certain immigrant backgrounds. Based on ultimate attribution error theory, we examined the stereotypes and causal attributions that German student teachers use to account for immigrants’ underperformance. By including both Turkish-origin and Italian-origin migrants, we assessed whether these judgments are group-specific. A pilot study (N = 70) showed that Turkish-origin migrants were viewed more negatively than either Germans or Italian-origin migrants. Studies 1 (N = 65) and 2 (N = 54) showed that negative stereotypes moderated judgments of internal responsibility for both immigrant groups. Study 2 also showed that negative stereotypes moderated external attributions for the underperformance of Turkish-origin, but not Italian-origin, migrants.


2014 ◽  
Vol 59 (4) ◽  
pp. 427-435 ◽  
Author(s):  
Kanika Khandelwal ◽  
Megha Dhillon ◽  
Kalyani Akalamkam ◽  
Deepika Papneja

2013 ◽  
Vol 32 (1) ◽  
pp. 71-81 ◽  
Author(s):  
Martin D. Coleman

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