Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí sinh học đề tài : Short forms of the Child Perceptions Questionnaire for 11–14-year-old children (CPQ11–14): Development and initial evaluation | BioMed Central Health and Quality of Life Outcomes Research Open Access Short forms of the Child Perceptions Questionnaire for ll-14-year-old children CPQh_14 Development and initial evaluation Aleksandra Jokovic 1 David Locker1 and Gordan Guyatt2 Address 1 Community Dental Health Services Research Unit Faculty of Dentistry University of Toronto 124 Edward Street Toronto Ontario M5G 1G6 Canada and 2Department of Clinical Epidemiology and Biostatistics McMaster University Hamilton Ontario Canada Email Aleksandra Jokovic - David Locker - Gordan Guyatt- guyatt@ Corresponding author Published 19 January 2006 Received 18 October 2004 Health and Quality ofLife Outcomes 2006 4 4 doi l477-7525-4-4 Accepted 19 January 2006 This article is available from http content 4 1 4 2006 Jokovic 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 The Child Perceptions Questionnaire for children aged ll to 14 years CPQll-l4 is a 37-item measure of oral-health-related quality of life OHRQoL encompassing four domains oral symptoms functional limitations emotional and social well-being. To facilitate its use in clinical settings and population-based health surveys it was shortened to l6 and 8 items. Item impact and stepwise regression methods were used to produce each version. This paper describes the developmental process compares the discriminative properties of the resulting four short-forms and evaluates their precision relative to the original CPQll-l4. Methods The item impact method used data from the CPQll-l4 item reduction study to select the questions with the highest impact scores in each domain. The regression method where the .
