Zieschank, Kirsty ORCID: https://orcid.org/0000-0002-9707-6647 and Ireland, Michael, J and Day, Jamin and March, Sonja
ORCID: https://orcid.org/0000-0001-8425-7126
(2022)
Psychometric Evaluation of a New Digitally Animated Child Self-Report Assessment Instrument: The Interactive Child Distress Screener.
Assessment.
pp. 1-16.
ISSN 1073-1911
Abstract
The present study aimed to provide the first psychometric evaluation of the newly developed, digitally animated assessment instrument: the Interactive Child Distress Screener (ICDS). The latent factor structure of the novel ICDS was first established using exploratory factor analysis (EFA) on 15 pairs of animated items using a community sample (N = 266) of child–parent dyads. EFA results support a two-factor structure representing two broad domains of internalizing and externalizing difficulties (r = .52) and comprised 12 items. The reliability of the factors was strong with ordinal alpha and omega coefficients above .84 and .87, respectively, for each of the subscales. Convergent validity for the overall sample was supported with established child and parent-reported measures of internalizing and externalizing problems; however, the ICDS factors demonstrated convergence greater in magnitude with other child-reported measures such as the Me and My School Survey. Satisfaction and utility ratings by children indicated that the digital format was highly acceptable.
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Item Type: | Article (Commonwealth Reporting Category C) |
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Refereed: | Yes |
Item Status: | Live Archive |
Additional Information: | Files associated with this item cannot be displayed due to copyright restrictions. |
Faculty/School / Institute/Centre: | Current – Faculty of Health, Engineering and Sciences - School of Psychology and Wellbeing (1 Jan 2022 -) |
Faculty/School / Institute/Centre: | Current - Institute for Resilient Regions - Centre for Health Research (1 Apr 2020 -) |
Date Deposited: | 27 Apr 2022 03:50 |
Last Modified: | 27 Apr 2022 03:50 |
Uncontrolled Keywords: | child self-report scale; digital assessment; exploratory factor analysis; ICDS; psychometrics |
Fields of Research (2020): | 52 PSYCHOLOGY > 5201 Applied and developmental psychology > 520101 Child and adolescent development 32 BIOMEDICAL AND CLINICAL SCIENCES > 3213 Paediatrics > 321302 Infant and child health 52 PSYCHOLOGY > 5201 Applied and developmental psychology > 520108 Testing, assessment and psychometrics |
Socio-Economic Objectives (2020): | 20 HEALTH > 2005 Specific population health (excl. Indigenous health) > 200506 Neonatal and child health 20 HEALTH > 2004 Public health (excl. specific population health) > 200409 Mental health |
Funding Details: | |
Identification Number or DOI: | https://doi.org/10.1177/10731911211072907 |
URI: | http://eprints.usq.edu.au/id/eprint/48015 |
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