[Level of compliance with validation processes and analysis of measurement scales in pediatrics]

José A Martinez1, Laura Martinez1

  • 1Facultad de Ciencias de la Empresa, Universidad Politécnica de Cartagena, Cartagena, Spain.

Insights

This study found that the analysis of measurement instruments in pediatric research needs improvement. Key areas for enhancement include indicator selection, factor analysis application, and model fit to ensure reliable and valid psychometric scales.

Area of Science:

  • Psychometrics
  • Pediatric Research
  • Statistical Analysis

Context:

  • Latent construct measurement scales are widely used in medical literature.
  • Ensuring the reliability and validity of these instruments is crucial for accurate interpretation.
  • Psychometric instrument validation studies in pediatrics require rigorous methodological and statistical adherence.

Purpose:

  • To evaluate compliance with methodological and statistical premises in pediatric psychometric instrument validation studies.
  • To identify areas for improvement in the analysis of measurement scales.
  • To provide recommendations for future research in pediatric psychometrics.

Summary:

  • A review of 25 articles from Spanish pediatric journals (2000-2023) using factor analysis for scale validation was conducted.
  • Key areas for improvement identified include reflective/formative indicators, indicator selection, scale validity linked to model fit, reliability assessment (Cronbach's alpha), and factor analysis techniques.
  • The study highlights the need for enhanced analysis processes, particularly in indicator specification and factor analysis application.

Impact:

  • Findings will guide researchers in improving the quality of psychometric instrument validation in pediatrics.
  • Enhanced validation practices will lead to more reliable and interpretable results from pediatric studies.
  • Recommendations aim to strengthen the methodological rigor of future research utilizing measurement scales in child health.