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Implicit attitudes: Quantitative Semantic Misattribution Procedure

Kapitel i bok
Författare Niklas Lanbeck
Danilo Garcia
Clara Amato
Andreas Olsson
Sverker Sikström
Publicerad i Statistical Semantics - Methods and Applications
Förlag Springer
Publiceringsår 2019
Publicerad vid Psykologiska institutionen
Språk en
Ämnesord Affect Misattribution, Implicit Attitudes, Latent Semantic Analysis, Quantitative Semantics
Ämneskategorier Psykologi

Sammanfattning

The Affect Misattribution Procedure (AMP) is suggested as a reliable measure for implicit causes to behavior misattribution by assessing implicit attitudes in responses to ambiguous targets preceded by a prime. We introduce a Quantitative Semantic Misattribution Procedure (QSMP), in which, instead of valence ratings, the dependent variable is verbally generated words in response to Chinese pictographs and racial in-group/out-group neutral faces. Our aim was to examine and quantify if priming influenced the semantic content of verbal responses to targets. A total of 72 images of emotionally neutral faces were selected from the Face-Place database (http://www.tarrlab.org/); 32 Caucasian and 32 Afro-American with an even distribution of male and female faces. Also, 72 of the traditional Chinese characters (pictographs) used by Payne in his 2005 experiment were used. Verbal responses were quantified using computational methods (i.e., Latent Semantic Analysis) and subjected to tests of semantic similarity. The semantic representation was significantly different for black and white primes in the un-warned but not the warned group. The semantically expressed valence was equal for black and white face primes, whereas black target faces had higher semantic valence than white. Participants systematically altered the semantic content of their responses, and exhibited positive out-group bias in the semantically generated valence of responses to target faces. Clearly, our modified QSMP can be used to study evaluative and non-evaluative influence of racial attitudes.

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