TY - JOUR
T1 - Dynamic structure of emotions among individuals with parkinson's disease
AU - Chow, Sy Miin
AU - Nesselroade, John R.
AU - Shifren, Kim
AU - McArdle, John J.
N1 - Funding Information:
This research was supported by the National Institute Aging grant 5 R01 AG18330 awarded to the second author. We thank Michael Browne, our colleagues at the Jefferson Psychometric Lab and a few anonymous reviewers for their thoughtful comments on earlier drafts of this article. An earlier version of this article was presented at the 2002 meeting of the Psychometric Society in Chapel Hill, North Carolina.
PY - 2004
Y1 - 2004
N2 - With few exceptions, the dynamics underlying the mood structures of individuals with Parkinson's Disease have consistently been overlooked. Based on 12 participants' daily self-reports over 72 days, we identified 10 participants whose covariance matrices for positive and negative affect were similar enough to warrant pooling. Dynamic factor models that included factor autoregression and cross-regressions were fitted to the pooled, lagged covariance matrix representing approximately 700 occasions of measurement Although results from the pooled data indicated that both positive and negative affect had a strong lag-1 autoregressive impact on current positive and negative affect, most individuals showed stronger autoregressive effects for positive than negative affect when examined individually. There was also a weak cross-regression effect of positive affect on negative affect, but the reverse was not true. Through model fitting, we demonstrated that failure to incorporate lagged relations among factors could lead to an overestimation of concurrent correlations among latent factors. Implications of the findings in relation to the orthogonality of positive and negative affect are discussed.
AB - With few exceptions, the dynamics underlying the mood structures of individuals with Parkinson's Disease have consistently been overlooked. Based on 12 participants' daily self-reports over 72 days, we identified 10 participants whose covariance matrices for positive and negative affect were similar enough to warrant pooling. Dynamic factor models that included factor autoregression and cross-regressions were fitted to the pooled, lagged covariance matrix representing approximately 700 occasions of measurement Although results from the pooled data indicated that both positive and negative affect had a strong lag-1 autoregressive impact on current positive and negative affect, most individuals showed stronger autoregressive effects for positive than negative affect when examined individually. There was also a weak cross-regression effect of positive affect on negative affect, but the reverse was not true. Through model fitting, we demonstrated that failure to incorporate lagged relations among factors could lead to an overestimation of concurrent correlations among latent factors. Implications of the findings in relation to the orthogonality of positive and negative affect are discussed.
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U2 - 10.1207/s15328007sem1104_4
DO - 10.1207/s15328007sem1104_4
M3 - Article
AN - SCOPUS:8344271218
SN - 1070-5511
VL - 11
SP - 560
EP - 582
JO - Structural Equation Modeling
JF - Structural Equation Modeling
IS - 4
ER -