The Revelation Effect for Autobiographical Memory: A Mixture-Model Analysis
AbstractParticipants provided information about their childhood by rating the confidence that they had experienced various events (e.g., 'broke a window playing ball'). On some trials, participants unscrambled a key word from the event-phrase (e.g., wdinwo – window) or an unrelated word (e.g., gnutge – nugget) before seeing the event and giving their confidence rating. Unscrambling led participants to increase their confidence that the event occurred in their childhood, but only when the confidence rating immediately followed the act of unscrambling. This increase in confidence mirrors the “revelation effect” observed in word recognition experiments. We analyze our data using a new signal detection mixture distribution model which does not require that the researcher knows the veracity of memory judgments a priori. Our analysis reveals that unscrambling a key word or an unrelated word affects response bias and discriminability in autobiographical memory tests in ways that are very similar to those that have been previously found for word recognition tasks.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim in its series Sonderforschungsbereich 504 Publications with number 08-25.
Length: 23 pages
Date of creation: 12 Dec 2008
Date of revision:
Note: Financial support from the Deutsche Forschungsgemeinschaft, SFB 504, at the University of Mannheim, is gratefully acknowledged.
Contact details of provider:
Postal: D-68131 Mannheim
Phone: (49) (0) 621-292-2547
Fax: (49) (0) 621-292-5594
Web page: http://www.sfb504.uni-mannheim.de/
More information through EDIRC
Web page: http://www.sfb504.uni-mannheim.de
This paper has been announced in the following NEP Reports:
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Carsten Schmidt).
If references are entirely missing, you can add them using this form.