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The out-group homogeneity effect is the perception of out-group members as more similar to one another than are in-group members, e.g. "they are alike; we are diverse". [1] Perceivers tend to have impressions about the diversity or variability of group members around those central tendencies or typical attributes of those group members.
Categorization of people into social groups increases the perception that group members are similar to one another. An outcome of this is the out-group homogeneity effect. This refers to the perception of members of an out-group as being homogenous, while members of one's in-group are perceived as being diverse, e.g. "they are alike; we are ...
Biases specific to groups (such as the risky shift) versus biases at the individual level. Biases that affect decision-making, where the desirability of options has to be considered (e.g., sunk costs fallacy). Biases, such as illusory correlation, that affect judgment of how likely something is or whether one thing is the cause of another.
Outgroup homogeneity can be defined as seeing the outgroup members as more homogeneous than ingroup members. [43] Self-categorization accounts for the outgroup homogeneity effect as a function of perceiver motivation and the resultant comparative context, [4] [15] which is a description of the psychologically available stimuli at any one time ...
A simple cladogram showing the evolutionary relationships between four species: A, B, C, and D. Here, Species A is the outgroup, and Species B, C, and D form the ingroup. In cladistics or phylogenetics, an outgroup [1] is a more distantly related group of organisms that serves as a reference group when determining the evolutionary relationships of the ingroup, the set of organisms under study ...
In-group and out-group; Insight Seminars; Intercultural dialogue; Intergroup anxiety; ... Out-group bias; Out-group homogeneity; Outgroup favoritism; P. Participatory ...
Additionally, the minimal group paradigm explored the out-group homogeneity. [18] Participants were split into two groups, each assigned two positive and two negative traits. They rated their own group and estimated ratings for the opposite group, including the traits’ minimum and maximum scores.
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