Assessing Whether Measurement Invariance of the KIDSCREEN-27 across Child-Parent Dyad Depends on the Child Gender: A Multiple Group Confirmatory Factor Analysis

This study aims to assess the measurement invariance (MI) of the KIDSCREEN-27 questionnaire across girl-parent and boy-parent dyad to clarify how child gender affects the agreement between children’s and parents’ perception of the meaning of the items in the questionnaire. The child self-reports and parent proxy-reports of the KIDSCREEN-27 were completed by 1061 child-parent dyad. Multiple group categorical confirmatory factor analysis (MGCCFA) was applied to assess MI. The non-invariant items across girl-parent dyad were mostly detected in the psychological well-being and the social support and peers domains. Moreover, the boys and their parents differed mainly in the autonomy and parent relation domain. Detecting different non-invariant items across the girl-parent dyad compared to the boy-parent dyad underlines the importance of taking the child’s gender into account when assessing measurement invariance between children and their parents and consequently deciding about children’s physical, psychological or social well-being from the parents’ viewpoint.

[1]  Daniel A. Sass,et al.  Testing Measurement Invariance and Comparing Latent Factor Means Within a Confirmatory Factor Analysis Framework , 2011 .

[2]  Kristopher J Preacher,et al.  Item factor analysis: current approaches and future directions. , 2007, Psychological methods.

[3]  J. Ware,et al.  Canadian-French, German and UK versions of the Child Health Questionnaire: methodology and preliminary item scaling results , 1998, Quality of Life Research.

[4]  V. Lindh,et al.  Health-related quality of life in girls and boys with juvenile idiopathic arthritis: self- and parental reports in a cross-sectional study , 2012, Pediatric Rheumatology.

[5]  A. Klassen,et al.  Agreement between parent and child report of quality of life in children with attention-deficit/hyperactivity disorder. , 2006, Child: care, health and development.

[6]  J. Vermunt,et al.  Measurement Equivalence of Ordinal Items: A Comparison of Factor Analytic, Item Response Theory, and Latent Class Approaches , 2011 .

[7]  Gordon W. Cheung,et al.  Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance , 2002 .

[8]  Robert A Frank,et al.  Validation and cross-national comparison of the food neophobia scale (FNS) using confirmatory factor analysis , 2003, Appetite.

[9]  H. Moll,et al.  The proxy problem anatomized: child-parent disagreement in health related quality of life reports of chronically ill adolescents , 2012, Health and Quality of Life Outcomes.

[10]  K. Jöreskog,et al.  Structural Equation Modeling with Ordinal Variables using LISREL , 2004 .

[11]  S. Kaplan,et al.  Preliminary psychometric evaluation of the Child Health Ratings Inventory (CHRIs) and Disease-Specific Impairment Inventory-Hematopoietic Stem Cell Transplantation (DSII-HSCT) in parents and children , 2005, Quality of Life Research.

[12]  I. Seiffge-Krenke.  Families with Daughters, Families with Sons: Different Challenges for Family Relationships and Marital Satisfaction? , 1999 .

[13]  C. Eiser,et al.  Quality-of-life measures in chronic diseases of childhood. , 2001, Health technology assessment.

[14]  R. McNally,et al.  Adult psychosocial functioning following childhood cancer: the different roles of sons' and daughters' relationships with their fathers and mothers. , 2001, Journal of child psychology and psychiatry, and allied disciplines.

[15]  Walter L. Leite,et al.  Agreement was not found in adolescents' quality of life rated by parents and adolescents. , 2009, Journal of clinical epidemiology.

[16]  W. Holmes Finch,et al.  Hierarchical Logistic Regression: Accounting for Multilevel Data in DIF Detection , 2010 .

[17]  C. Schnohr,et al.  Measuring mental health and well-being of school-children in 15 European countries using the KIDSCREEN-10 Index , 2009, International Journal of Public Health.

[18]  Jeanne A. Teresi,et al.  An Essay on Measurement and Factorial Invariance , 2006, Medical care.

[19]  Christine Eiser,et al.  Can parents rate their child's health-related quality of life? Results of a systematic review , 2004, Quality of Life Research.

[20]  P. Burkhart,et al.  Icelandic and United States families of adolescents with asthma: predictors of health-related quality of life from the parents' perspective. , 2011, Journal of clinical nursing.

[21]  D. Buck,et al.  Use of the PedsQL in childhood intermittent exotropia: estimates of feasibility, internal consistency reliability and parent–child agreement , 2012, Quality of Life Research.

[22]  J. Fleishman,et al.  Differential item functioning and health assessment , 2007, Quality of Life Research.

[23]  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.

[24]  M. Mohler-Kuo,et al.  Assessing parent–child agreement in health-related quality of life among three health status groups , 2013, Social Psychiatry and Psychiatric Epidemiology.

[25]  E. S. Kim,et al.  Testing Measurement Invariance: A Comparison of Multiple-Group Categorical CFA and IRT , 2011 .

[26]  J. Wit,et al.  The proxy problem: child report versus parent report in health-related quality of life research , 2004, Quality of Life Research.

[27]  R. Vandenberg,et al.  A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research , 2000 .

[28]  S. K. Lo,et al.  Reliability and Validity , 2020, International Encyclopedia of Human Geography.

[29]  Z. Bagheri,et al.  Assessing Whether Parents and Children Perceive the Meaning of the Items in the PedsQLTM 4.0 Quality of Life Instrument Consistently: A Differential Item Functioning Analysis , 2013, Global journal of health science.

[30]  S. Sireci.  Cross-Cultural Research Methods in Psychology: Evaluating Test and Survey Items for Bias Across Languages and Cultures , 2010 .

[31]  A. Quittner,et al.  Validation of a disease-specific measure of health-related quality of life for children with cystic fibrosis. , 2003, Journal of pediatric psychology.

[32]  Zahra Bagheri,et al.  Using Rasch rating scale model to reassess the psychometric properties of the Persian version of the PedsQLTM 4.0 Generic Core Scales in school children , 2012, Health and Quality of Life Outcomes.

[33]  Michael Seid,et al.  PedsQL™ 4.0: Reliability and Validity of the Pediatric Quality of Life Inventory™ Version 4.0 Generic Core Scales in Healthy and Patient Populations , 2001, Medical care.

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

[35]  B. Byrne,et al.  Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. , 1989 .

[36]  Z. Bagheri,et al.  Item and response-category functioning of the Persian version of the KIDSCREEN-27: Rasch partial credit model , 2012, Health and Quality of Life Outcomes.

[37]  T. Abel,et al.  Health-related quality of life: gender differences in childhood and adolescence , 2005, Sozial- und Präventivmedizin.

[38]  Bengt,et al.  Latent Variable Analysis With Categorical Outcomes : Multiple-Group And Growth Modeling In Mplus , 2002 .

[39]  P. Bezemer,et al.  Which source should we use to measure quality of life in children with asthma: The children themselves or their parents? , 2004, Quality of Life Research.

[40]  P. Auquier,et al.  Children proxies' quality-of-life agreement depended on the country using the European KIDSCREEN-52 questionnaire. , 2007, Journal of clinical epidemiology.

[41]  B. Muthén,et al.  Applying Multigroup Confirmatory Factor Models for Continuous Outcomes to Likert Scale Data Complicates Meaningful Group Comparisons , 2004 .

[42]  Penney Upton,et al.  Parent–child agreement across child health-related quality of life instruments: a review of the literature , 2008, Quality of Life Research.

[43]  J. Varni,et al.  The pediatric cancer quality of life inventory‐32 (PCQL‐32) , 1998, Cancer.

[44]  Measurement Equivalence across Child Self-Reports and Parent-Proxy Reports in the Chinese Version of the Pediatric Quality of Life Inventory Version 4.0 , 2013, Child psychiatry and human development.

[45]  Amery D. Wu,et al.  Decoding the Meaning of Factorial Invariance and Updating the Practice of Multi-group Confirmatory Factor Analysis: A Demonstration With TIMSS Data , 2007 .

[46]  W. Meredith.  Measurement invariance, factor analysis and factorial invariance , 1993 .

[47]  H. Dickinson,et al.  Determinants of Child-Parent Agreement in Quality-of-Life Reports: A European Study of Children With Cerebral Palsy , 2007, Pediatrics.

[48]  P. Chernyshov.  Gender differences in health‐related and family quality of life in young children with atopic dermatitis , 2012, International journal of dermatology.

[49]  Zahra Bagheri,et al.  Measurement Equivalence of the KINDL Questionnaire Across Child Self-reports and Parent Proxy-reports: A Comparison Between Item Response Theory and Ordinal Logistic Regression , 2014, Child psychiatry and human development.