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Cited by 752

The DOI matches its OpenAlex record; 11 of the 11 references it cites were found in a registry or an index.

The Insecure/Ambivalent Pattern of Attachment: Theory and Research

Jude Anne Cassidy, Lisa J. Berlin·1994·Child Development

Abstract

Relatively little has been written about one group of infants identified with Ainsworth's "Strange Situation" assessment of infant-parent attachment, those classified insecure/ambivalent. Although virtually all samples contain some insecure/ambivalent infants, these infants are uncommon, comprising 7%-15% of most American samples. Recently developed assessments of attachment in children and adults have identified attachment groups of older individuals thought to parallel the insecure/ambivalent infant group. Empirical work in which insecure/ambivalent individuals are examined as a separate group is reviewed within the context of attachment theory, and a coherent picture emerges of the antecedents (relatively low or inconsistent maternal availability; biological vulnerability) and sequelae (limited exploratory competence) of this group. This picture is used as the basis for additional theoretical proposals, and suggestions for future research are presented.

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OpenAlex · 10.1111/j.1467-8624.1994.tb00796.x

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Metadata

Authors
Cassidy, J. A., & Berlin, L. J.
Venue
Child Development
Published
1994-08
Volume
65
Issue
4
Pages
971
ISSN
0009-3920 (ISSN-L)
OpenAlex
W2116526442
Cited by
752
References
11
FWCI
20.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Insecure/Ambivalent Pattern of Attachment: Theory and Research. https://app.cochat.ai/papers/10.1111/j.1467-8624.1994.tb00796.x
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Cassidy, J. A., & Berlin, L. J. (1994). The Insecure/Ambivalent Pattern of Attachment: Theory and Research. Child Development. https://doi.org/10.1111/j.1467-8624.1994.tb00796.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.