A Machine Learning Approach to Assess Differential Item Functioning of the KINDL Quality of Life Questionnaire Across Children with and Without ADHD.

This study aimed to investigate differential item functioning (DIF) of the child and parent reports of the KINDL measure across children with and without Attention-deficit/hyperactivity disorder (ADHD). The sample included 122 children with ADHD and 1086 healthy peers, alongside 127 and 1061 of thei...

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Publicado en:Child Psychiatry & Human Development Vol. 53; no. 5; pp. 980 - 992
Autores principales: Jafari, Peyman, Mehrabani-Zeinabad, Kamran, Javadi, Sara, Ghanizadeh, Ahmad, Bagheri, Zahra
Formato: Artículo
Publicado: Springer Nature Oct2022
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2022
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      pub: Springer Nature
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        10.1007/s10578-021-01179-6
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        atl: A Machine Learning Approach to Assess Differential Item Functioning of the KINDL Quality of Life Questionnaire Across Children with and Without ADHD.
      aug:
        au:
          Jafari, Peyman
          Mehrabani-Zeinabad, Kamran
          Javadi, Sara
          Ghanizadeh, Ahmad
          Bagheri, Zahra
        affil:
          Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
          Research Center for Psychiatry and Behavioral Sciences, Department of Psychiatry, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
          Department of Psychiatry, UCLA-Kern Psychiatry Residency Program, Kern Medical, Bakersfield, CA, USA
      su:
        Quality of life
        Attention-deficit hyperactivity disorder
        Machine learning
        Iranians
        Questionnaires
      sug:
        subj:
          Quality of life
          Attention-deficit hyperactivity disorder
          Machine learning
          Iranians
          Questionnaires
      keyword:
        ADHD
        Children
        Differential item functioning
        ADHD
        Children
        Differential item functioning
      ab: This study aimed to investigate differential item functioning (DIF) of the child and parent reports of the KINDL measure across children with and without Attention-deficit/hyperactivity disorder (ADHD). The sample included 122 children with ADHD and 1086 healthy peers, alongside 127 and 1061 of their parents, respectively. The generalized partial credit model with lasso penalization, as a machine learning method, was used to assess DIF of the KINDL across the two groups. The findings showed that three out of 24 items of the child reports and seven out of 24 items of the parent reports of the KINDL exhibited DIF between children with and without ADHD. Accordingly, Iranian children with and without ADHD along with their parents perceive almost all items in the KINDL similarly. Hence, the observed difference in quality of life scores between children with and without ADHD is a real difference and not a reflection of measurement bias.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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