Critical issues relating to CIT: experimental studies have have limitations.
1)Theory applies to ‘behaviour’ conducted through choice unintentional behaviour such as ‘clumsiness.’ 2)Action that is consistent with expected role could also, confirming stereotypes).
Nevertheless theory has been extended by (Gilbert 1988). stages involved in trait attribution: – It is necessary to look at the role of ‘conscious attention devoting attention to one cog, task results less attention principle was applied to CIT.
There are 3 stages in trait attribution; 1) ‘Categorizes’ indiv’idual (What is it about) 2) ‘C’haracterize’ the behaviour (use it to, 3) Situational correction is made to adjust trait attribution In general all 3 stages are completed.
But in some cases, when others behaviour is obscure or necessary corrections are not made as our limited cognition Co variation ; Configuration Theory Kelly’s model (1967) was an addition to attribution theory model: Co variation & Configuration.
In the lst case, the perceiver has information from different The perceiver must separate which effects are to be attributed factors (different sources).
Hence co variation principles is used the model is based technique).
According to Kelly, in attempting to answer ‘why’ about on info relating to 3 dimensions: Consensus- (extent to wh is shown by others).
Consistency- (the extent to which an individual responds way on different occasions).
Distinctiveness -(the extent to which individuals responds different situations).
Kelly suggests the 3 dimensions are used to attribute causes under conditions in which consensus, distinctiveness high.
In contrast, we attribute another’s behaviour to consensus, consistency and distinctiveness is high.
Kelly’s assumption has been confirmed in wide range provides insight into the nature of casual attribution.
Critical issues = co variation principles Initial studies supported the model, but since it has been 1)Co variation principle is limited, as correlation does sexual intercourse is cause of pregnancy but 2 are not high 2)P attributions may appear to use co variation prince.
processing maybe different: 3)Requires multiple observations to yield 3 dimensions. have information when making attributes.