The Meta–Cognitive Model (MCM) of Attitudes: Implications for Attitude Measurement, Change, and Strength
By Richard E. Petty, P. Briñol, Kenneth G. DeMarree. 2007
379 citations recorded by the source corpus.
Subfields: Social Psychology, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/e1bd47f6ca57020037936f5d1a4218011d5f08a1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Social Psychology
- Richard E. Petty
- Zakary L. Tormala
- P. Briñol
- Derek D. Rucker
- Sean Hughes
- D. Barnes-Holmes
- Nigel Vahey
- Andrew Luttrell
In Sociology and Political Science
- Richard E. Petty
- Zakary L. Tormala
- P. Briñol
- Derek D. Rucker
- Michelle R. Nelson
- Sean Hughes
- Martin Waiguny
- Andrew Luttrell
Citations in the corpus
- Ambivalence and certainty can interact to predict attitude stability over time (2016, background): “…come to mind in a given instance (which as we mentioned, could happen for many reasons, independent of a person's degree of attitude certainty) and the overall evaluation of the target at that moment because those reactions seem especially valid (Briñol & Petty, 2009; Petty et al., 2007a).”
- PERSUASION: INSIGHTS FROM THE SELF VALIDATION HYPOTHESIS (2009, background): “The perceived origin of the thoughts is an important dimension of meta-cognition (Petty et al., 2007).”
- Consumer conviction and commitment: An appraisal-based framework for attitude certainty (2014, background): “Following the general logic that metacognitive reasoning requires cognitive effort (Petty et al., 2007), we propose that the appraisal process will be most likely to occur when people have high motivation and ability to think.”
- Holding on to our functional roots when exploring new intellectual islands: A voyage through implicit cognition research (2012, background): “For example, interactions between the person and environment in the form of respondent learning (Olson & Fazio, 2001), operant learning (Peters & Gawronski, 2011), stimulus generalization (Ranganath & Nosek, 2008) or verbal instruction (Gregg, Seibt, & Banaji, 2006) are conceptualized as influencing”