Four simultaneous component models for the analysis of multivariate time series from more than one subject to model intraindividual and interindividual differences

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Universal Intracultural and Intercultural Dimensions of the Recalled Frequency of Emotional Experience (2006, background): “…and SCA-ECP) that differ with respect to the restrictions that are imposed on the variances and covariances of the Q intracultural components (see Table 2, where the models are listed from least to most restrictive; for a detailed discussion of the different models, see Timmerman & Kiers, 2003).”
Covariance pattern mixture models for the analysis of multivariate heterogeneous longitudinal data (2014, unknown): “See, as examples, [10, 30, 11, 31], among the others.”
Towards A Pan–Cultural Personality Structure: Input from 11 Psycholexical Studies (2014, methodology): “To identify the kernel structure, we applied an SCA, with the SCA model with equal cross-products (SCA-ECP) (Timmerman & Kiers, 2003).”
Harnessing the complexity of metabolomic data with chemometrics (2014, background): “A third option relies on lagged variables in the X matrix obtained through the application of a lag operator to an element of the temporal series to generate its predecessor [66].”