A Correlated Traits Correlated Methods Model for Thin-Slice Child Personality Assessment

Recent research has illustrated the utility and accuracy of a thin-slice (TS) approach to child personality assessment, whereby unacquainted observers provide personality ratings of children after exposure to brief behavioral episodes. The current study sought to expand on this approach by exploring formal multitrait-multimethod (MTMM) models for child TS data comprising ratings from a comprehensive set of TS situations. Results using data from a sample of 326 9-to-10-year-old community children indicate that a correlated traits, correlated methods (CTCM) model can be used to represent individual differences in children's behavior as manifest across different situations. Indicator variables derived from a CTCM differentially correlate with traditional parental ratings of behavior, moreover, and provide predictive and incremental validity with regard to child competencies and behavior. Results illustrate the utility of a TS approach in the assessment of childhood personality, and inform understanding of issues encountered in applying different MTMM models to these types of empirical data

A Correlated Traits Correlated Methods Model for Thin-Slice Child Personality Assessment

Recent research has illustrated the utility and accuracy of a thin-slice (TS) approach to child personality assessment, whereby unacquainted observers provide personality ratings of children after exposure to brief behavioral episodes. The current study sought to expand on this approach by exploring formal multitrait-multimethod (MTMM) models for child TS data comprising ratings from a comprehensive set of TS situations. Correlated traits, correlated methods (CTCM) and correlated traits, correlated uniqueness (CTCU) models were compared using data from a sample of 326 9-to-10-year-old community children. Results indicate that a CTCM can be used to represent individual differences in children's behavior as manifest across different situations. Indicator variables derived from a CTCM differentially correlate with traditional parental ratings of behavior, moreover, and provide predictive and incremental validity with regard to child competencies and behavior. Results illustrate the utility of a TS in assessment of childhood personality, and inform understanding of issues encountered in applying different MTMM models to real-world data

A Correlated Traits Correlated Methods Model for Thin-Slice Child Personality Assessment

Recent research has illustrated the utility and accuracy of a thin-slice (TS) approach to child personality assessment, whereby unacquainted observers provide personality ratings of children after exposure to brief behavioral episodes. The current study sought to expand on this approach by exploring formal multitrait-multimethod (MTMM) models for child TS data comprising ratings from a comprehensive set of TS situations. Results using data from a sample of 326 9-to-10-year-old community children indicate that a correlated traits, correlated methods (CTCM) model can be used to represent individual differences in children's behavior as manifest across different situations. Indicator variables derived from a CTCM differentially correlate with traditional parental ratings of behavior, moreover, and provide predictive and incremental validity with regard to child competencies and behavior. Results illustrate the utility of a TS approach in the assessment of childhood personality, and inform understanding of issues encountered in applying different MTMM models to these types of empirical data