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Empirical Papers

Exploring the temporal associations between avoidance behavior and cognitions during the course of cognitive behavioral therapy for clients with symptoms of social anxiety disorder

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Pages 195-208 | Received 08 Dec 2020, Accepted 07 May 2021, Published online: 18 Jun 2021

Figures & data

Table I. Item content of primary instruments.

Figure 1. Bivariate multiple indicator random intercept cross-lagged panel model (only 4 of 6 timepoints displayed). Xij, Yij = observed indicators (i) for respectively AB (X) and COG (Y) at time j; FXj, FYj = latent factors for respectively AB(X) and COG (Y) at time j; RIX, RIY = random intercept for respectively AB(X) and COG (Y) – between part of the model; WFXj, WFYj = within-part of the model for respectively AB(X) and COG (Y) at time j; SX, SY = random slopes for respectively AB(X) and COG (Y) – LCM-SR model only; βx, βy = autoregressive coefficients; and γx, γy = reciprocal coefficients.

Figure 1. Bivariate multiple indicator random intercept cross-lagged panel model (only 4 of 6 timepoints displayed). Xij, Yij = observed indicators (i) for respectively AB (X) and COG (Y) at time j; FXj, FYj = latent factors for respectively AB(X) and COG (Y) at time j; RIX, RIY = random intercept for respectively AB(X) and COG (Y) – between part of the model; WFXj, WFYj = within-part of the model for respectively AB(X) and COG (Y) at time j; SX, SY = random slopes for respectively AB(X) and COG (Y) – LCM-SR model only; βx, βy = autoregressive coefficients; and γx, γy = reciprocal coefficients.

Table II. Unstandardized parameter estimates and model fit indices from different cross-lagged panel models for avoidance behavior (y) and cognitions (x).

Table III. Standardized parameter estimates from the multiple indicator random intercept cross-lagged panel model (RI-CLPM) for avoidance behavior (AB) and cognitions (COG).

Supplemental material

Supplemental Material

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