The flexibility of source-monitoring training: Reducing young children's source confusions

2009 ◽  
Vol 24 (5) ◽  
pp. 626-644 ◽  
Author(s):  
Karen L. Thierry ◽  
Michael E. Lamb ◽  
Margaret-Ellen Pipe ◽  
Melanie J. Spence
Keyword(s):  
Source Monitoring ◽  
Monitoring Training ◽  
Source Monitoring Training

A Hierarchy of Multinomial Models for Multidimensional Source Monitoring

Methodology ◽  
2005 ◽  
Vol 1 (1) ◽  
pp. 2-17 ◽  
Author(s):  
Thorsten Meiser
Keyword(s):  
Cognitive Processes ◽  
Source Monitoring ◽  
Source Information ◽  
Model Comparisons ◽  
Storage And Retrieval ◽  
Multinomial Processing Tree ◽  
Multinomial Models ◽  
Hierarchical Relationship ◽  
Statistical Framework ◽  
Tree Models

Abstract. Several models have been proposed for the measurement of cognitive processes in source monitoring. They are specified within the statistical framework of multinomial processing tree models and differ in their assumptions on the storage and retrieval of multidimensional source information. In the present article, a hierarchical relationship is demonstrated between multinomial models for crossed source information ( Meiser & Bröder, 2002 ), for partial source memory ( Dodson, Holland, & Shimamura, 1998 ) and for several sources ( Batchelder, Hu, & Riefer, 1994 ). The hierarchical relationship allows model comparisons and facilitates the specification of identifiability conditions. Conditions for global identifiability are discussed, and model comparisons are illustrated by reanalyses and by a new experiment on the storage and retrieval of multidimensional source information.

Warnings Reduce False Memories for Missing Aspects of Events

2011 ◽  
Vol 58 (3) ◽  
pp. 207-216 ◽  
Author(s):  
Matthew P. Gerrie ◽  
Maryanne Garry
Keyword(s):  
False Recognition ◽  
Source Monitoring ◽  
False Memories ◽  
Monitoring Framework

When people see movies with some parts missing, they falsely recognize many of the missing parts later. In two experiments, we examined the effect of warnings on people’s false memories for these parts. In Experiment 1, warning subjects about false recognition before the movie (forewarnings) reduced false recognition, but warning them after the movie (postwarnings) reduced false recognition to a lesser extent. In Experiment 2, the effect of the warnings depended on the nature of the missing parts. Forewarnings were more effective than postwarnings in reducing false recognition of missing noncrucial parts, but forewarnings and postwarnings were similarly effective in reducing false recognition of crucial missing parts. We use the source monitoring framework to explain our results.

Do People’s Motives Influence Their Susceptibility to Imagination Inflation?

2010 ◽  
Vol 57 (1) ◽  
pp. 77-82 ◽  
Author(s):  
Stefanie J. Sharman ◽  
Samantha Calacouris
Keyword(s):  
Autobiographical Memory ◽  
Source Monitoring ◽  
False Beliefs ◽  
Explicit Motives ◽  
Imagination Inflation ◽  
Motivational Model ◽  
Past Experiences ◽  
Implicit And Explicit ◽  
Affiliation Motives

People are motivated to remember past autobiographical experiences related to their current goals; we investigated whether people are also motivated to remember false past experiences related to those goals. In Session 1, we measured subjects’ implicit and explicit achievement and affiliation motives. Subjects then rated their confidence about, and memory for, childhood events containing achievement and affiliation themes. Two weeks later in Session 2, subjects received a “computer-generated profile” based on their Session 1 ratings. This profile suggested that one false achievement event and one false affiliation event had happened in childhood. After imagining and describing the suggested false events, subjects made confidence and memory ratings a second time. For achievement events, subjects’ explicit motives predicted their false beliefs and memories. The results are explained using source monitoring and a motivational model of autobiographical memory.

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