A hybrid model of source monitoring in paired-associates learning.

2019 ◽  
Vol 45 (6) ◽  
pp. 1042-1065
Author(s):  
Francis S. Bellezza ◽  
Jennifer K. Elek
Author(s):  
Rachel T. Furey ◽  
Stephen C. Bowden ◽  
Leonie C. Simpson ◽  
Catherine E. Meade ◽  
Brooke M. Davis ◽  
...  

Abstract Objectives: This study aimed to identify a well-fitting and theoretically justified item-level latent factor structure for the Wechsler Memory Scales (WMS)-IV verbal paired associates (VerbalPA) subtest to facilitate the ease and accuracy of score interpretations for patients with lateralized temporal lobe epilepsy (TLE). Methods: Archival data were used from 250 heterogeneous neurosciences patients who were administered the WMS-IV as part of a standard neuropsychological assessment. Three theoretically motivated models for the latent structure of VerbalPA were tested using confirmatory factor analysis. The first model, based on cognitive principles of semantic processing from hub-and-spoke theory, tested whether performance is related to specific semantic features of target words. The second, motivated by the Cattell–Horn–Carroll (CHC) model of cognitive abilities, investigated whether the associative properties of items influence performance. A third, Hybrid model tested whether performance is related to both semantic and associative properties of items. The best-fitting model was tested for diagnostic group effects contrasting the heterogeneous neuroscience patients with subsets of left and right TLE (n = 51, n = 26, respectively) patients. Results: The Hybrid model was found to have the best fit. Patients with left TLE scored significantly less well than the heterogeneous neurosciences sample on selected semantic factor scores, although the effect size was small. Conclusions: Future editions of the WMS may consider implementing a semantic scoring structure for the VerbalPA to facilitate test score interpretation. Additionally, these results suggest that principles of hub-and-spoke theory may be integrated into CHC cognitive ability taxonomy.


Methodology ◽  
2005 ◽  
Vol 1 (1) ◽  
pp. 2-17 ◽  
Author(s):  
Thorsten Meiser

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.


Author(s):  
Matthew P. Gerrie ◽  
Maryanne Garry

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.


Author(s):  
Stefanie J. Sharman ◽  
Samantha Calacouris

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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