Literature DB >> 27394051

In My Shoes - Validation of a computer assisted approach for interviewing children.

Karin Fängström1, Pär Bokström2, Anton Dahlberg3, Rachel Calam4, Steven Lucas5, Anna Sarkadi6.   

Abstract

Interviewing young children presents a challenge because they tend to provide incomplete accounts and are easily misled. Therefore there is a need for techniques to improve young children's recall, while maintaining accuracy and increasing completeness. The computer-assisted interview In My Shoes (IMS) is an aid that potentially offers a way for young children to provide accounts of their experiences. This study examined the validity of IMS, by comparing it with a forensic best practice interview approach using a real-life clinical situation to ensure high ecological validity. Children were randomly assigned to either method and both accuracy and completeness of statements made by 4- and 5-year-olds (N=54) regarding a video-documented health check-up were assessed. The In My Shoes interviews were as good as best practice interviews on all accuracy measures for both age groups, except for object accuracy that was better in the forensic interview condition. Events description completeness was similar in both interview conditions; however, IMS interviews generated more complete statements about people present at the visit. The findings suggest that the IMS approach yields comparable results to a best practice interview, and it can be used as an alternative aid in child interviews.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Child; Computer-assisted interview; In My Shoes; Interviewing aid; Validity

Mesh:

Year:  2016        PMID: 27394051     DOI: 10.1016/j.chiabu.2016.06.022

Source DB:  PubMed          Journal:  Child Abuse Negl        ISSN: 0145-2134


  1 in total

1.  The computer-assisted interview In My Shoes can benefit shy preschool children's communication.

Authors:  Karin Fängström; Raziye Salari; Maria Eriksson; Anna Sarkadi
Journal:  PLoS One       Date:  2017-08-15       Impact factor: 3.240

  1 in total

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