Latent change score modeling of psychophysiological data: An empirical instantiation using electrodermal responding

Peggy S. Keller, Mona El-Sheikh

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

We examined latent change score (LCS) modeling as an approach to the analysis of children's skin conductance level (SCL) throughout a stressful task-a simulated interadult argument-as it relates to externalizing and internalizing symptoms. LCS is an extension of traditional multilevel modeling (MLM), which allows estimation of proportional growth terms. Children (age 6-12 years; N=150) were from two-parent families. Mothers reported on children's internalizing and externalizing symptoms. Results indicated that the LCS models outperformed the traditional MLM. The use of LCS yielded important novel information regarding profile and pattern of responding for various children and is likely to advance understanding of relations between children's physiological responses and psychopathology symptoms.

Original languageEnglish
Pages (from-to)1578-1587
Number of pages10
JournalPsychophysiology
Volume48
Issue number11
DOIs
StatePublished - Nov 2011

Keywords

  • Children/infants
  • Electrodermal
  • Psychopathological
  • Statistical methods

ASJC Scopus subject areas

  • General Neuroscience
  • Neuropsychology and Physiological Psychology
  • Experimental and Cognitive Psychology
  • Neurology
  • Endocrine and Autonomic Systems
  • Developmental Neuroscience
  • Cognitive Neuroscience
  • Biological Psychiatry

Fingerprint

Dive into the research topics of 'Latent change score modeling of psychophysiological data: An empirical instantiation using electrodermal responding'. Together they form a unique fingerprint.

Cite this