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      PedsQL™ 4.0: Reliability and Validity of the Pediatric Quality of Life Inventory™ Version 4.0 Generic Core Scales in Healthy and Patient Populations :

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      Medical Care
      Ovid Technologies (Wolters Kluwer Health)

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          Abstract

          The PedsQL (Pediatric Quality of Life Inventory) (Children's Hospital and Health Center, San Diego, California) is a modular instrument for measuring health-related quality of life (HRQOL) in children and adolescents ages 2 to 18. The PedsQL 4.0 Generic Core Scales are multidimensional child self-report and parent proxy-report scales developed as the generic core measure to be integrated with the PedsQL Disease-Specific Modules. The PedsQL 4.0 Generic Core Scales consist of 23 items applicable for healthy school and community populations, as well as pediatric populations with acute and chronic health conditions. The 4 PedsQL 4.0 Generic Core Scales (Physical, Emotional, Social, School) were administered to 963 children and 1,629 parents (1,677 subjects accrued overall) recruited from pediatric health care settings. Item-level and scale-level measurement properties were computed. Internal consistency reliability for the Total Scale Score (alpha = 0.88 child, 0.90 parent report), Physical Health Summary Score (alpha = 0.80 child, 0.88 parent), and Psychosocial Health Summary Score (alpha = 0.83 child, 0.86 parent) were acceptable for group comparisons. Validity was demonstrated using the known-groups method, correlations with indicators of morbidity and illness burden, and factor analysis. The PedsQL distinguished between healthy children and pediatric patients with acute or chronic health conditions, was related to indicators of morbidity and illness burden, and displayed a factor-derived solution largely consistent with the a priori conceptually-derived scales. The results demonstrate the reliability and validity of the PedsQL 4.0 Generic Core Scales. The PedsQL 4.0 Generic Core Scales may be applicable in clinical trials, research, clinical practice, school health settings, and community populations.

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          Coefficient alpha and the internal structure of tests

          Psychometrika, 16(3), 297-334
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            Psychometric considerations in evaluating health-related quality of life measures.

            How does one determine if a measure of health-related quality of life (HRQL) is adequate for clinical trials? Psychometric methods are frequently used to answer this question. What is psychometrics all about? In this paper we address these questions, discussing common psychometric evaluation procedures applied to HRQL measures. Specifically, we discuss issues regarding the evaluation of reliability and validity (including responsiveness).
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              German translation and psychometric testing of the SF-36 Health Survey: Preliminary results from the IQOLA project

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                Author and article information

                Journal
                Medical Care
                Medical Care
                Ovid Technologies (Wolters Kluwer Health)
                0025-7079
                2001
                August 2001
                : 39
                : 8
                : 800-812
                Article
                10.1097/00005650-200108000-00006
                11468499
                493b9a61-c6f1-4cd0-91c2-7464f60dc6e2
                © 2001
                History

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