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Related Experiment Video

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Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis

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Emerging criteria for the low-coherence cannot classify category.

Anna Maria Speranza¹, Giampaolo Nicolais¹, Carola Maggiora Vergano¹

¹a Department of Dynamic and Clinical Psychology , Sapienza University of Rome , Rome , Italy.

Attachment & Human Development

|July 29, 2017

Summary

This study refines the Adult Attachment Interview (AAI) coding system by adding criteria for the low-coherence cannot classify (CC) category, improving its use with clinical populations.

Keywords:

Adult Attachment Interview cannot classify clinical samples coding system disorganization low-coherence

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Area of Science:

Psychology
Developmental Psychology
Clinical Psychology

Background:

The Adult Attachment Interview (AAI) coding system requires adaptation for nonnormative samples.
Existing AAI criteria may not fully capture specific states of mind in clinical populations.

Purpose of the Study:

To propose and illustrate additional criteria for the low-coherence cannot classify (CC) category within the AAI coding system.
To enhance the AAI's flexibility and effectiveness when applied to clinical samples, particularly parents of maltreated children.

Main Methods:

Analysis of three AAIs from parents of maltreated children exhibiting very low coherence.
Identification of global category descriptors and specific indices of discourse breakdown.

Main Results:

Defined new criteria to characterize the low-coherence CC category.
Highlighted features indicative of reasoning and discourse breakdown in the analyzed transcripts.

Conclusions:

The proposed criteria offer a more nuanced approach to rating low-coherence CC states of mind.
This refinement enhances the AAI's utility for assessing attachment in clinical and diverse populations.