what is the method here: Standard descriptive statistics were computed to characterize the samples. In addition, item-level response frequency distributions were examined for floor and ceiling effects for each IWQOL-Lite-CT item. A floor or ceiling effect would require that more than 40% of the patients select the worst or best response category, respectively. Exploratory factor analyses (EFAs) (Study 1) and confirmatory factor analyses (CFAs) (Study 2) were conducted to inform and confirm the structure of the IWQOL-Lite-CT, respectively. Factor structure was estimated with mean- and variance-adjusted weighted least squares estimation, and the results of the factor analyses were interpreted using model fit indices, including the root mean square error of approximation (RMSEA), comparative fit index (CFI), Tucker-Lewis Index (TLI) and standardized and weighted root mean square residual (SRMR and WRMR), as well as the sizes and patterns of the factor loadings and the reasonableness of modifications suggested by the CFAs. Inter-item correlations were computed to identify potentially redundant items and further inform the scoring method. Consistent with the scoring of the IWQOL-Lite, items comprising the IWQOL-Lite-CT were reverse scored and the composites rescaled to range between 0 and 100, such that higher composite scores indicate higher levels of functioning. Internal consistency and test-test reliability of the IWQOL-Lite-CT were evaluated. Specifically, Cronbach's coeffici