Literature DB >> 27346554

Exploring the Causal Effect of Interpretation Bias on Attachment Expectations.

Simon De Winter1, Guy Bosmans1, Elske Salemink2.   

Abstract

Attachment theory implies that children's inclination to interpret attachment figures behavior as supportive and available causally influences children's trust in their attachment figure's availability. An experiment was conducted to test whether training children (8-12 years old) to interpret ambiguous interactions with their mothers in a more secure way increases their trust in their mother's availability. Participants (N = 49) were randomly assigned to either a secure condition to train children to interpret their mother's behavior as supportive or a neutral placebo condition, where interpretations were unrelated to maternal support. Results supported the hypothesis: After the secure training, children interpreted maternal behavior more securely and trusted more in her availability. This suggests that attachment-related processing biases causally affect attachment expectations.
© 2016 The Authors. Child Development © 2016 Society for Research in Child Development, Inc.

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Year:  2016        PMID: 27346554     DOI: 10.1111/cdev.12587

Source DB:  PubMed          Journal:  Child Dev        ISSN: 0009-3920


  7 in total

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4.  Does secure base script knowledge mediate associations between observed parental caregiving during childhood and adult romantic relationship quality and health?

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5.  The effects of Cognitive Bias Modification training and oxytocin administration on trust in maternal support: study protocol for a randomized controlled trial.

Authors:  Martine W F T Verhees; Eva Ceulemans; Marian J Bakermans-Kranenburg; Marinus H van IJzendoorn; Simon de Winter; Guy Bosmans
Journal:  Trials       Date:  2017-07-14       Impact factor: 2.279

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7.  Unraveling middle childhood attachment-related behavior sequences using a micro-coding approach.

Authors:  Nadja Bodner; Guy Bosmans; Jasmien Sannen; Martine Verhees; Eva Ceulemans
Journal:  PLoS One       Date:  2019-10-29       Impact factor: 3.240

  7 in total

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