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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
The latent structure of the adult attachment interview: Large sample evidence from the collaboration on attachment transmission synthesis
Development and Psychopathology, Volume 34, No. 1, Year 2022
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Description
The Adult Attachment Interview (AAI) is a widely used measure in developmental science that assesses adults' current states of mind regarding early attachment-related experiences with their primary caregivers. The standard system for coding the AAI recommends classifying individuals categorically as having an autonomous, dismissing, preoccupied, or unresolved attachment state of mind. However, previous factor and taxometric analyses suggest that: (a) adults' attachment states of mind are captured by two weakly correlated factors reflecting adults' dismissing and preoccupied states of mind and (b) individual differences on these factors are continuously rather than categorically distributed. The current study revisited these suggestions about the latent structure of AAI scales by leveraging individual participant data from 40 studies (N = 3,218), with a particular focus on the controversial observation from prior factor analytic work that indicators of preoccupied states of mind and indicators of unresolved states of mind about loss and trauma loaded on a common factor. Confirmatory factor analyses indicated that: (a) a 2-factor model with weakly correlated dismissing and preoccupied factors and (b) a 3-factor model that further distinguished unresolved from preoccupied states of mind were both compatible with the data. The preoccupied and unresolved factors in the 3-factor model were highly correlated. Taxometric analyses suggested that individual differences in dismissing, preoccupied, and unresolved states of mind were more consistent with a continuous than a categorical model. The importance of additional tests of predictive validity of the various models is emphasized. ©
Authors & Co-Authors
Pasco Fearon, Richard M.
United Kingdom, London
University College London
Roisman, Glenn I.
United States, Minneapolis
University of Minnesota Twin Cities
van IJzendoorn, Marinus H.
Netherlands, Rotterdam
Erasmus Universiteit Rotterdam
United Kingdom, Cambridge
University of Cambridge
Schuengel, Carlo
Netherlands, Amsterdam
Vrije Universiteit Amsterdam
Madigan, Sheri L.
Canada, Calgary
University of Calgary
Bakermans-Kranenburg, Marian J.
Netherlands, Amsterdam
Vrije Universiteit Amsterdam
Bernier, Annie
Canada, Montreal
University of Montreal
Behrens, Kazuko Y.
United States, Albany
Suny Polytechnic Institute
Cassibba, Rosalinda
Italy, Bari
Università Degli Studi Di Bari Aldo Moro
Cassidy, Jude
United States, College Park
University of Maryland, College Park
Dozier, Mary
United States, Newark
University of Delaware
Duschinsky, Robbie
United Kingdom, Cambridge
University of Cambridge
Gojman de Millán, Sonia
Unknown Affiliation
Hazen, Nancy L.
United States, Austin
The University of Texas at Austin
Sagi-Schwartz, Avi
Israel, Haifa
University of Haifa
Steele, Howard
United States, New York
The new School
Tarabulsy, George M.
Canada, Quebec
Université Laval
Væver, Mette Skovgaard
Denmark, Copenhagen
Københavns Universitet
Bailey, Heidi Neufeld
Canada, Guelph
University of Guelph
Cyr, Chantal
Canada, Montreal
Université du Québec à Montréal
Jacobvitz, Deborah B.
United States, Austin
The University of Texas at Austin
Juffer, Femmie
Netherlands, Leiden
Universiteit Leiden
Murray, Lynne
United Kingdom, Reading
University of Reading
Simonelli, Alessandra
Italy, Padua
Università Degli Studi Di Padova
Steele, Miriam
United States, New York
The new School
Statistics
Citations: 6
Authors: 25
Affiliations: 52
Identifiers
Doi:
10.1017/S0954579420000978
ISSN:
09545794