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Does coding internal working models of attachment have to be so hard?
The Child Attachment Interview (CAI) has demonstrated promise in youth, yet widespread use is thwarted by the need for interview transcription, face-to-face training, and reliability certification. The present study sought to examine the empirical basis for these barriers. Thirty-five archival CAIs...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283821/ https://www.ncbi.nlm.nih.gov/pubmed/35838815 http://dx.doi.org/10.1007/s10578-022-01385-w |
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author | Venta, Amanda McLaren, Veronica Sharp, Carla Abate, Anna Allman, Madeleine Cervantes, Breana Kerr, Sophie Hernandez Ortiz, Jessica Sumlin, Eric Walker, Jesse Wall, Kiana |
author_facet | Venta, Amanda McLaren, Veronica Sharp, Carla Abate, Anna Allman, Madeleine Cervantes, Breana Kerr, Sophie Hernandez Ortiz, Jessica Sumlin, Eric Walker, Jesse Wall, Kiana |
author_sort | Venta, Amanda |
collection | PubMed |
description | The Child Attachment Interview (CAI) has demonstrated promise in youth, yet widespread use is thwarted by the need for interview transcription, face-to-face training, and reliability certification. The present study sought to examine the empirical basis for these barriers. Thirty-five archival CAIs were re-coded by: (1) expert coders (i.e., trained and reliable) without access to transcripts, (2) trained coders who had not completed reliability training, and (3) novice coders who had no formal training. Agreement with consensus classifications was computed with the expectation of moderate agreement. Results supported coding by experts without transcription of the interview. Near-moderate agreement preliminarily supported the use of trained coders who have not attempted reliability certification with appropriate caveats. While moderate agreement was not achieved for novice raters, findings suggest that self-paced training options for the CAI may hold future promise. These contributions erode a number of significant barriers to the current use of the CAI. |
format | Online Article Text |
id | pubmed-9283821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-92838212022-07-15 Does coding internal working models of attachment have to be so hard? Venta, Amanda McLaren, Veronica Sharp, Carla Abate, Anna Allman, Madeleine Cervantes, Breana Kerr, Sophie Hernandez Ortiz, Jessica Sumlin, Eric Walker, Jesse Wall, Kiana Child Psychiatry Hum Dev Original Article The Child Attachment Interview (CAI) has demonstrated promise in youth, yet widespread use is thwarted by the need for interview transcription, face-to-face training, and reliability certification. The present study sought to examine the empirical basis for these barriers. Thirty-five archival CAIs were re-coded by: (1) expert coders (i.e., trained and reliable) without access to transcripts, (2) trained coders who had not completed reliability training, and (3) novice coders who had no formal training. Agreement with consensus classifications was computed with the expectation of moderate agreement. Results supported coding by experts without transcription of the interview. Near-moderate agreement preliminarily supported the use of trained coders who have not attempted reliability certification with appropriate caveats. While moderate agreement was not achieved for novice raters, findings suggest that self-paced training options for the CAI may hold future promise. These contributions erode a number of significant barriers to the current use of the CAI. Springer US 2022-07-15 /pmc/articles/PMC9283821/ /pubmed/35838815 http://dx.doi.org/10.1007/s10578-022-01385-w Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Venta, Amanda McLaren, Veronica Sharp, Carla Abate, Anna Allman, Madeleine Cervantes, Breana Kerr, Sophie Hernandez Ortiz, Jessica Sumlin, Eric Walker, Jesse Wall, Kiana Does coding internal working models of attachment have to be so hard? |
title | Does coding internal working models of attachment have to be so hard? |
title_full | Does coding internal working models of attachment have to be so hard? |
title_fullStr | Does coding internal working models of attachment have to be so hard? |
title_full_unstemmed | Does coding internal working models of attachment have to be so hard? |
title_short | Does coding internal working models of attachment have to be so hard? |
title_sort | does coding internal working models of attachment have to be so hard? |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283821/ https://www.ncbi.nlm.nih.gov/pubmed/35838815 http://dx.doi.org/10.1007/s10578-022-01385-w |
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