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Latent change score modeling of psychophysiological data: An empirical instantiation using electrodermal responding
Author(s) -
Keller Peggy S.,
ElSheikh Mona
Publication year - 2011
Publication title -
psychophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.661
H-Index - 156
eISSN - 1469-8986
pISSN - 0048-5772
DOI - 10.1111/j.1469-8986.2011.01225.x
Subject(s) - psychology , psychopathology , skin conductance , latent growth modeling , developmental psychology , structural equation modeling , multilevel model , argument (complex analysis) , latent variable , task (project management) , clinical psychology , statistics , medicine , biochemistry , chemistry , mathematics , biomedical engineering , management , economics
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.