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Do youth anxiety measures assess the same construct consistently throughout treatment? Results are...complicated.
Rabner, Jonathan C; Olino, Thomas M; Albano, Anne Marie; Ginsburg, Golda S; Compton, Scott N; Piacentini, John; Sakolsky, Dara; Birmaher, Boris; Gosch, Elizabeth; Kendall, Philip C.
Afiliación
  • Rabner JC; Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA. jrabner@temple.edu.
  • Olino TM; Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA.
  • Albano AM; Department of Psychiatry, Columbia University, New York City, NY, USA.
  • Ginsburg GS; Department of Psychiatry, University of Connecticut School of Medicine, West Hartford, CT, USA.
  • Compton SN; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA.
  • Piacentini J; Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
  • Sakolsky D; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Birmaher B; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Gosch E; Department of Clinical Psychology, Philadelphia College of Osteopathic Medicine, Philadelphia, PA, USA.
  • Kendall PC; Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, USA.
Article en En | MEDLINE | ID: mdl-36856912
Interventionists interpret changes in symptoms as reflecting response to treatment. However, changes in symptom functioning and the measurement of the underlying constructs may be reflected in reported change. Longitudinal measurement invariance (LMI) is a statistical approach that assesses the degree to which measures consistently capture the same construct over time. We examined LMI in measures of anxiety severity/symptoms [i.e., Pediatric Anxiety Rating Scale (PARS), Multidimensional Anxiety Scale for Children (MASC), Screen for Child Anxiety and Related Disorders (SCARED)] in anxious youth at baseline and posttreatment. Initial fit was inadequate for 27 of 38 baseline and posttreatment models, but model modifications resulted in acceptable fit. Tests of LMI supported scalar invariance for the PARS and many, but not all, MASC and SCARED subscales. Findings suggest that the PARS, and many MASC and SCARED subscales can accurately be used to measure change over time, however, others may reflect changes in measurement properties.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Child Psychiatry Hum Dev Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Child Psychiatry Hum Dev Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos