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Attachment working models and false recall: a category structure approach

Two studies were conducted to test the central hypothesis that internal working models of
attachment will influence false memory in a model-congruent pattern. Participants in both
studies were first primed with a relationship-specific attachment model by writing about a person
with whom they shared a secure, anxious, or avoidant relationship. Next participants viewed
attachment-relevant and non-relevant stimuli presented in either a word list or vignette format.
Afterwards they completed a brief distracter task followed by a category cued-recall memory
test. Study 2 participants also reported confidence ratings for each word recalled. Results from
both studies demonstrated interactive effects between chronic attachment and relationshipspecific
models in predicting false memories. Effects were found primarily for attachment
stimuli relevant to social isolation and hate/rejection themes. Both model-congruent and modelincongruent
effects emerged depending on stimuli set and chronic attachment style. Notably, no
attachment-based differences in false memories occurred for non-attachment stimuli. Finally, a
consistent association was found between confidence in false recall and congruence between
participants' chronic and relationship-specific working models; specifically, greater confidence
was associated with congruency, and lower confidence with incongruence. This pattern occurred
for both attachment-relevant and non-relevant stimuli. The results of this research provide further support for a key proposition of attachment theory; namely, that relationship working
models influence how individuals process relationship-relevant information in general. In
addition, this research contributes new knowledge regarding the generation of false memories in
particular.

Identiferoai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-1857
Date02 June 2009
CreatorsWilson, Carol Leigh
ContributorsRholes, W. Steven, Simpson, Jeffry A.
Source SetsTexas A and M University
Languageen_US
Detected LanguageEnglish
TypeBook, Thesis, Electronic Dissertation, text
Formatelectronic, application/pdf, born digital

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