TY - JOUR
T1 - Investigating Individual Variation Using Dynamic Structural Equation Modeling
T2 - A Tutorial With Tinnitus
AU - Rodebaugh, Thomas L.
AU - Piccirillo, Marilyn L.
AU - Frumkin, Madelyn R.
AU - Kallogjeri, Dorina
AU - Gerull, Katherine M.
AU - Piccirillo, Jay F.
N1 - Funding Information:
Thanks to Nicholas C. Jacobson for providing information regarding his R package DT-VEM, Adrienne Beltz for information regarding Group Iterative Multiple Model Estimation capabilities, Daniel McNeish for guidance regarding testing factorial invariance, and Ellen Hamaker and Tihomir Asparouhov for guidance on dynamic structural equation modeling more generally.
Publisher Copyright:
© The Author(s) 2022.
PY - 2023/5
Y1 - 2023/5
N2 - A growing body of research suggests that standard group-based models might provide little insight regarding individuals. In the current study, we sought to compare group-based and individual predictors of bothersome tinnitus, illustrating how researchers can use dynamic structural equation modeling (DSEM) for intensive longitudinal data to examine whether findings from analyses of the group apply to individuals. A total of 43 subjects with bothersome tinnitus responded to up to 200 surveys each. In multilevel DSEM, survey items loaded on three factors (tinnitus bother, cognitive symptoms, and anxiety), and results indicated a reciprocal relationship between tinnitus bother and anxiety. In fully idiographic models, the three-factor model fit poorly for two individuals, and the multilevel model did not generalize to most individuals, possibly because of limited power. Research examining heterogeneous conditions, such as tinnitus bother, may benefit from methods such as DSEM that allow researchers to model dynamic relationships.
AB - A growing body of research suggests that standard group-based models might provide little insight regarding individuals. In the current study, we sought to compare group-based and individual predictors of bothersome tinnitus, illustrating how researchers can use dynamic structural equation modeling (DSEM) for intensive longitudinal data to examine whether findings from analyses of the group apply to individuals. A total of 43 subjects with bothersome tinnitus responded to up to 200 surveys each. In multilevel DSEM, survey items loaded on three factors (tinnitus bother, cognitive symptoms, and anxiety), and results indicated a reciprocal relationship between tinnitus bother and anxiety. In fully idiographic models, the three-factor model fit poorly for two individuals, and the multilevel model did not generalize to most individuals, possibly because of limited power. Research examining heterogeneous conditions, such as tinnitus bother, may benefit from methods such as DSEM that allow researchers to model dynamic relationships.
KW - idiographic models
KW - intensive longitudinal data
KW - multilevel analyses
KW - tinnitus
UR - http://www.scopus.com/inward/record.url?scp=85144198797&partnerID=8YFLogxK
U2 - 10.1177/21677026221129279
DO - 10.1177/21677026221129279
M3 - Article
C2 - 37408827
AN - SCOPUS:85144198797
SN - 2167-7026
VL - 11
SP - 574
EP - 591
JO - Clinical Psychological Science
JF - Clinical Psychological Science
IS - 3
ER -