2000
DOI: 10.3758/bf03198562
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The use of schematic knowledge about sources in source monitoring

Abstract: Source monitoring refers to mental processes leading to attributions regarding the origin of information. We tested Johnson, Hashtroudi, and Lindsay's (1993) assumption that prior source-relevant knowledge is used in some source-monitoring tasks. In two experiments using different domains of schematic knowledge, two sources presented information that was expected for one source and somewhat unexpected for the other. In a later source-monitoring test, participants decided whether items had been presented by Sou… Show more

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Cited by 130 publications
(224 citation statements)
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References 63 publications
(59 reference statements)
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“…This explanation converges with the results in Bayen, Nakamura, Dupuis, and Yang (2000), in which it was found that failure to remember the source of information led to an attribution based on an expectation of the correct source. Because the participants were instructed that they would be tested on their memory for the event witnessed, in all likelihood, the event witnessed was considered an expected source.…”
Section: Discussionsupporting
confidence: 74%
“…This explanation converges with the results in Bayen, Nakamura, Dupuis, and Yang (2000), in which it was found that failure to remember the source of information led to an attribution based on an expectation of the correct source. Because the participants were instructed that they would be tested on their memory for the event witnessed, in all likelihood, the event witnessed was considered an expected source.…”
Section: Discussionsupporting
confidence: 74%
“…Previous research has tended to imply that the use of schematic information in source monitoring reflects a guessing bias (e.g., Bayen, Nakamura, Dupuis, & Yang, 2000;Spaniol & Bayen, 2002). In those studies, information arising from a low-probability source was later attributed to a high-probability source.…”
Section: Constraints On Migration Of Objects Between Episodesmentioning
confidence: 99%
“…Fortunately, alternative measurement tools exist in terms of multinomial models of source memory (Batchelder & Riefer, 1990;Bayen, Murnane, & Erdfelder, 1996), which allow us to decompose raw source classification data into old-new discrimination, source memory, and various forms of guessing biases. We used the multinomial source-monitoring model developed and successfully validated by Bayen et al (1996), which has been successfully applied in a number of experiments (e.g., Bayen, Nakamura, Dupuis, & Yang, 2000;Bell, Buchner, & Mund, 2008;D'Argembeau & Van der Linden, 2004;Doerksen & Shimamura, 2001;Spaniol & Bayen, 2002). An adaptation of the model for the present purposes is presented in Figure 2.…”
Section: Measuring Source Memorymentioning
confidence: 99%