Sentences Recognition Memory and Extraversion-Introversion Levels: A Statistical Modelling Approach

Sentences Recognition Memory and Extraversion-Introversion Levels: A Statistical Modelling Approach This research aimed to analyse individual differences in recognition of semantic memory by means of a statistical modelling approach, because some difficulties arise when traditional experimental designs and statistical hypotheses tests are used. In this field, statistical modelling provides the possibility of obtaining a data-fitted model for each experimental condition. One hundred and thirty five adult students, both males and females, agreed to participate in our study and were classified as high, middle and low extraverts. Sentences with a high semantic organisation were used as material to be recognised. A statistical modelling process was then applied using the lEM program. Differences in recognition memory for hits were found between middle and low extraversion levels, as revealed by the different data-fitted models. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Sentences Recognition Memory and Extraversion-Introversion Levels: A Statistical Modelling Approach

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Publisher
Springer Netherlands
Copyright
Copyright © 2007 by Springer Science + Business Media B.V.
Subject
Social Sciences; Social Sciences, general; Methodology of the Social Sciences
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-007-9099-x
Publisher site
See Article on Publisher Site

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