Dimensions of Anxiety, Age, and Gender: Assessing Dimensionality and Measurement Invariance of the State-Trait for Cognitive and Somatic Anxiety (STICSA) in an Italian Sample
Articolo
Data di Pubblicazione:
2018
Abstract:
The State–Trait Inventory for Cognitive and Somatic Anxiety (STICSA) is a widely used
measure of state and trait anxiety that permits a specific assessment of cognitive
and somatic anxiety. Previous research provided inconsistent findings about its factor
structure in non-clinical samples (e.g., hierarchical or bi-factor structure). To date, no
psychometric validation of the Italian version of the STICSA has been conducted.
Our study aimed to determine the psychometric functioning of the Italian version of
the STICSA, including its dimensionality, gender and age measurement equivalence,
and convergent/divergent validity in a large sample of community-dwelling participants
(N = 2,938; 55.9% female). Through confirmatory factor analysis, the multidimensional
structure of both State and Trait STICSA scales, with each including Cognitive and
Somatic dimensions, was supported. Factor structure invariance was tested and
established at configural, metric, and scalar levels for males and females. Additionally,
full factorial measurement invariance was supported for the State scale across young,
middle age, and old adult groups whereas the Trait scale was partially invariant across
age groups. The STICSA also showed good convergent validity with concurrent anxiety
measures (State-Trait Anxiety Inventory and Beck Anxiety Inventory), and satisfactory
internal discriminant validity with two depression measures (Teate Depression Inventory
and Beck Depression Inventory-II). Results provided support for the multidimensionality
of the STICSA, as well as the generalizability of the State and Trait scales as independent
measures of Cognitive and Somatic symptomatology across gender in the general
population. Implications for research and personality and clinical assessment are
discussed.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
anxiety, depression, trait, state, invariance, multigroup confirmatory factor analysis
Elenco autori:
Carlucci, L; Watkins, M W; Sergi, M. R.; Cataldi, F; Saggino, A; Balsamo, M
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