Naive theories of intelligence and the role of processing fluency in perceived comprehension.

2010 ◽  
Vol 139 (3) ◽  
pp. 535-557 ◽  
Author(s):  
David B. Miele ◽  
Daniel C. Molden
2009 ◽  
Author(s):  
David B. Miele ◽  
Bridgid Finn ◽  
Daniel C. Molden ◽  
Janet Metcalfe

2021 ◽  
Author(s):  
Patricia Garrido-Vásquez ◽  
Tanja Rock

People believe repeated statements more than new ones—the repetition-induced truth effect. It is prominently explained with processing fluency: The subjective ease of processing repeated versus new information. To date, the role of affective processes for the truth effect is rather unclear. From a theoretical perspective, people should rely more on fluency under positive than under negative affect. Here, we tested whether an affective picture presented before a statement influences the repetition-induced truth effect. Thirty-five participants took part in two sessions that were a week apart. In both sessions, they rated the truth status of statements. In session 2, repeated and new statements were intermixed, and each statement was preceded by a positive, negative, or neutral picture. We expected participants to rely more on fluency as a cue to truth in the positive than in the negative affective condition. However, although we replicated the repetition-induced truth effect, the interaction between affect and repetition was insignificant, but we observed a significant main effect of affect—statements were rated as truer after a positive rather than a negative or neutral picture. Our results suggest two independent mechanisms that enhance the subjective truth of statements: repetition and positive affect.


2007 ◽  
Vol 30 (2) ◽  
pp. 158-159
Author(s):  
Earl Hunt

AbstractThe P-FIT model is a major step forward in understanding biological causes of intelligence. It is consistent with evidence on the influence of working memory and speediness upon intelligence, and with models that emphasize the role of interaction between modules to produce intelligence. The contribution to understanding genetic contributions is problematical, due to the difficulty of isolating the genes involved.


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