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Ranganath, Smith, & Nosek (2008): Distinguishing automatic and controlled components of attitudes from direct and indirect measurement methods

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Ranganath, Smith, & Nosek (2008): Distinguishing automatic and controlled components of attitudes from direct and indirect measurement methods
 
Identifier https://doi.org/10.7910/DVN/IOUSBB
 
Creator Kate Ranganath, Colin Smith, & Brian Nosek
 
Publisher Harvard Dataverse
 
Description Distinct automatic and controlled processes are presumed to influence social evaluation. Most empirical approaches examine automatic processes using indirect methods, and controlled processes using direct methods. We distinguished processes from measurement methods to test whether a process distinction is more useful than a measurement distinction for taxonomies of attitudes. Results from two studies suggest that automatic components of attitudes can be measured directly. Direct measures of automatic attitudes were reports of gut reactions (Study 1) and behavioral performance in a speeded self-report task (Study 2). Confirmatory factor analyses comparing two-factor models revealed better fits when self-reports of gut reactions and speeded self-reports shared a factor with automatic measures versus sharing a factor with controlled self-report measures. Thus, distinguishing attitudes by the processes they are presumed to measure (automatic versus controlled) is more meaningful than distinguishing based on the directness of measurement.
 
Subject implicit social cognition