| Literature DB >> 35193420 |
Franziska Schreckenbach1, Klaus Rothermund1.
Abstract
Previous research on event coding has shown that, by default, bindings are binary and elemental, that is, individual objects or single features of these objects can retrieve responses separately and independently. In our study, we applied these findings to the automatic retrieval of former deceptions. Specifically, we investigated whether the person or the question to which one has answered deceptively can retrieve this knowledge independently, or whether there is also evidence for configural retrieval processes that use a combination of person and question information to retrieve the truth status of former episodes. We found evidence for retrieval based on single cues (i.e., person or question), supporting that the elementary retrieval of episodes by independent cues also holds in the context of retrieving knowledge about former lies.Entities:
Keywords: Lying; episodic retrieval processes; instance-based learning
Mesh:
Year: 2022 PMID: 35193420 PMCID: PMC9516608 DOI: 10.1177/17470218221085822
Source DB: PubMed Journal: Q J Exp Psychol (Hove) ISSN: 1747-0218 Impact factor: 2.138
Figure 1.Predicted compatibility effects (positive values reflect faster identification of the probe word dishonest, thus indicating retrieval of the knowledge of having lied) for elemental (H1) and configural (H2) retrieval as a function of prime picture (truth vs. lie vs. unknown) and prime question (truth vs. lie).
Figure 2.Trial structure of the experiment.
Words are not drawn to scale.
Figure 3.Average compatibility effects (positive values reflect faster identification of the probe word dishonest, thus indicating retrieval of the knowledge of having lied) as a function of prime picture (truth vs. lie vs. unknown) and prime question (truth vs. lie).
Error bars represent 95% CIs calculated for repeated measurement (RM) interaction effects as suggested in Jarmasz and Hollands (2009).
Bayes factors and posterior probabilities for H1 and H2, each in comparison with Ha which assumes unconstrained means in all conditions.
| Hypothesis | BF.a | Posterior probability |
|---|---|---|
| H1 | 56.921 | .936 |
| H2 | 2.921 | .048 |
| Ha | .016 |