Testing the psychometric properties of Kidscreen-27 with Irish children of low socio-economic status

BackgroundKidscreen-27 was developed as part of a cross-cultural European Union-funded project to standardise the measurement of children’s health-related quality of life. Yet, research has reported mixed evidence for the hypothesised 5-factor model, and no confirmatory factor analysis (CFA) has been conducted on the instrument with children of low socio-economic status (SES) across Ireland (Northern and Republic).MethodThe data for this study were collected as part of a clustered randomised controlled trial. A total of 663 (347 male, 315 female) 8–9-year-old children (M = 8.74, SD = .50) of low SES took part. A 5- and modified 7-factor CFA models were specified using the maximum likelihood estimation. A nested Chi-square difference test was conducted to compare the fit of the models. Internal consistency and floor and ceiling effects were also examined.ResultsCFA found that the hypothesised 5-factor model was an unacceptable fit. However, the modified 7-factor model was supported. A nested Chi-square difference test confirmed that the fit of the 7-factor model was significantly better than that of the 5-factor model. Internal consistency was unacceptable for just one scale. Ceiling effects were present in all but one of the factors.ConclusionsFuture research should apply the 7-factor model with children of low socio-economic status. Such efforts would help monitor the health status of the population.

[1]  G. Horgan Child Poverty in Northern Ireland: The Limits of Welfare‐to‐Work Policies , 2005 .

[2]  J. Salmon,et al.  A systematic review of intervention effects on potential mediators of children’s physical activity , 2013, BMC Public Health.

[3]  B. Byrne Structural Equation Modeling With AMOS, EQS, and LISREL: Comparative Approaches to Testing for the Factorial Validity of a Measuring Instrument , 2001 .

[4]  U. Ravens-Sieberer,et al.  The Use of Focus Groups in the Development of the KIDSCREEN HRQL Questionnaire , 2006, Quality of Life Research.

[5]  A. Coulter,et al.  Proceedings of Patient Reported Outcome Measure’s (PROMs) Conference Sheffield 2016: advances in patient reported outcomes research , 2016, Health and Quality of Life Outcomes.

[6]  E. Aadland,et al.  Psychometric properties of the Norwegian version of the Kidscreen-27 questionnaire , 2016, Health and Quality of Life Outcomes.

[7]  A Villers Ruiz,et al.  Statistical package for the social sciences (spss) , 1981 .

[8]  James B. Schreiber,et al.  Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review , 2006 .

[9]  S. McCoy,et al.  Learning from the Evaluation of DEIS , 2015 .

[10]  K. Lloyd Kids’ Life and Times: using an Internet survey to measure children’s health-related quality of life , 2011, Quality of Life Research.

[11]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[12]  Jeri Benson,et al.  THE IMPACT OF ITEM PHRASING ON THE VALIDITY OF ATTITUDE SCALES FOR ELEMENTARY SCHOOL CHILDREN , 1985 .

[13]  J. Ng,et al.  Outcomes of the Rope Skipping ‘STAR’ Programme for Schoolchildren , 2015, Journal of human kinetics.

[14]  Herbert W. Marsh,et al.  Negative item bias in ratings scales for preadolescent children: a cognitive-developmental phenomenon , 1986 .

[15]  J. Ng,et al.  Psychometric properties of the Chinese (Cantonese) versions of the KIDSCREEN health-related quality of life questionnaire , 2015, Quality of Life Research.

[16]  P. Auquier,et al.  Quality of life in children and adolescents: a European public health perspective , 2005, Sozial- und Präventivmedizin.

[17]  M. Bullinger,et al.  The European KIDSCREEN approach to measure quality of life and well-being in children: development, current application, and future advances , 2013, Quality of Life Research.

[18]  Carlos Alejandro Hidalgo-Rasmussen,et al.  Propiedades psicométricas del cuestionario de calidad de vida relacionada con la salud KIDSCREEN-27 en adolescentes chilenos , 2014 .

[19]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[20]  C. Hidalgo-Rasmussen,et al.  [Psychometric properties of the quality of life questionnaire health related KIDSCREEN-27 in Chilean adolescents]. , 2014, Revista medica de Chile.

[21]  Tsung I. Lin,et al.  Maximum likelihood estimation for multivariate skew normal mixture models , 2009, J. Multivar. Anal..

[22]  R. Little A Test of Missing Completely at Random for Multivariate Data with Missing Values , 1988 .

[23]  P. Auquier,et al.  Testing the structural and cross-cultural validity of the KIDSCREEN-27 quality of life questionnaire , 2007, Quality of Life Research.

[24]  Michael J. Roszkowski,et al.  Shifting gears: consequences of including two negatively worded items in the middle of a positively worded questionnaire , 2010 .

[25]  Dianne M. Finkelstein,et al.  A Beginner's Guide to Structural Equation Modeling , 2005, Technometrics.

[26]  P. Auquier,et al.  The KIDSCREEN-27 quality of life measure for children and adolescents: psychometric results from a cross-cultural survey in 13 European countries , 2007, Quality of Life Research.

[27]  J. Jackson Barnette,et al.  Effects of Stem and Likert Response Option Reversals on Survey Internal Consistency: If You Feel the Need, There is a Better Alternative to Using those Negatively Worded Stems , 2000 .

[28]  Y. Cho,et al.  Construct equivalence and latent means analysis of health behaviors between male and female middle school students. , 2011, Asian nursing research.

[29]  Andy P. Field,et al.  Discovering Statistics Using Ibm Spss Statistics , 2017 .

[30]  C. Terwee,et al.  Quality criteria were proposed for measurement properties of health status questionnaires. , 2007, Journal of clinical epidemiology.

[31]  Andy Field,et al.  Discovering statistics using IBM SPSS statistics: and sex and drugs and rock 'n' roll, 4th Edition , 2013 .

[32]  M. Hagger,et al.  Assumptions in research in sport and exercise psychology , 2009 .

[33]  周 義澄,et al.  Education and science , 1983 .

[34]  K. Mardia Measures of multivariate skewness and kurtosis with applications , 1970 .

[35]  P. Auquier,et al.  The KIDSCREEN-52 quality of life measure for children and adolescents: psychometric results from a cross-cultural survey in 13 European countries. , 2008, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[36]  Zhiyong Zhang,et al.  Investigating Ceiling Effects in Longitudinal Data Analysis , 2008, Multivariate behavioral research.

[37]  R. Schumacker,et al.  A beginner's guide to structural equation modeling, 2nd ed. , 2004 .