tailieunhanh - Báo cáo y học: " Psychometric analysis of the Self-Harm Inventory using Rasch modelling"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Psychometric analysis of the Self-Harm Inventory using Rasch modelling | BMC Psychiatry BioMed Central Research article Psychometric analysis of the Self-Harm Inventory using Rasch modelling Shane Latimer1 Tanya Covic 1 Steven R Cumming2 and Alan Tennant3 Address 1School of Psychology University of Western Sydney Locked Bag 1797 Penrith South DC 1797 NSW Australia 2Faculty of Health Sciences University of Sydney PO Box 170 Lidcombe 1825 NSW Australia and 3Faculty of Medicine and Health Worsley Building University of Leeds Leeds LS2 9JT UK Email Shane Latimer - Tanya Covic - Steven R Cumming - Alan Tennant - Corresponding author Open Access Published 19 August 2009 Received 29 May 2009 BMC Psychiatry 2009 9 53 doi l47l-244X-9-53 Accepted 19 August 2009 This article is available from http l47l-244X 9 53 2009 Latimer et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract_ Background Deliberate Self-Harm DSH is the intentional destruction of healthy body tissue without suicidal intent. DSH behaviours in non-clinical populations vary and instruments containing a range of behaviours may be more informative than ones with restricted content. The Self-Harm Inventory SHI is a widely used measure of DSH in clinical populations mental and physical health and covers a broad range of behaviours self-injury risk taking and self-defeating acts . The test authors recommend the SHI to screen for Borderline Personality Disorder BPD using a cut-off score of five or more. The aim of this study was to investigate the psychometric characteristics of the SHI in non-clinical samples. Methods The SHI was administered