Journal article
Configural Approaches to Temperament Assessment: Implications for Predicting Risk of Unintentional Injury in Children
Journal of personality, Vol.77(5), pp.1381-1409
10/2009
DOI: 10.1111/j.1467-6494.2009.00586.x
PMID: 19686452
Abstract
This study used two configural approaches to understand how temperament factors (surgency/extraversion, negative affect, and effortful control) might predict child injury risk. In the first approach, clustering procedures were applied to trait dimensions to identify discrete personality prototypes. In the second approach, two- and three-way trait interactions were considered dimensionally in regression models predicting injury outcomes. Injury risk was assessed through four measures: lifetime prevalence of injuries requiring professional medical attention, scores on the Injury Behavior Checklist, and frequency and severity of injuries reported in a 2-week injury diary. In the prototype analysis, three temperament clusters were obtained, which resembled resilient, overcontrolled, and undercontrolled types found in previous research. Undercontrolled children had greater risk of injury than children in the other groups. In the dimensional interaction analyses, an interaction between surgency/extraversion and negative affect tended to predict injury, especially when children lacked capacity for effortful control.
Details
- Title: Subtitle
- Configural Approaches to Temperament Assessment: Implications for Predicting Risk of Unintentional Injury in Children
- Creators
- Jack W Berry - University of Alabama at BirminghamDavid C Schwebel - University of Alabama at Birmingham
- Resource Type
- Journal article
- Publication Details
- Journal of personality, Vol.77(5), pp.1381-1409
- DOI
- 10.1111/j.1467-6494.2009.00586.x
- PMID
- 19686452
- NLM abbreviation
- J Pers
- ISSN
- 0022-3506
- eISSN
- 1467-6494
- Publisher
- Wiley-Blackwell
- Number of pages
- 29
- Language
- English
- Date published
- 10/2009
- Academic Unit
- Research Administration
- Record Identifier
- 9984949461902771
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