OBJECTIVE: This study involves the initial validation of the Short Schema Mode Inventory (SMI) in Italy. A total of 109 Axis II patients and 241 controls participated in the study. METHOD: Confirmatory factor analysis on SMI data to evaluate a measurement model of 14 factors using LISREL 8.80 was performed. Assessment of fit was based on CFI, NNFI, SRMR, RMSEA and Chi-square/df ratio. Reliability and construct validity were computed using SPSS 20. RESULTS: All indices considered (Chi-square = 15481.95; df = 6694; Chi-square/df = 2.23; NNFI = .95; CFI = .95; RMSEA = .061; SRMR = .079) reflected a reasonable fit of the observed data to 14- factors model. Reliability and construct validity were also good. CONCLUSIONS: These results support the factor structure, involving 14 factors, of the Italian SMI.
Factor structure of the Italian Short Schema Mode Inventory (SMI)
PANZERI, MARTA;RONCONI, LUCIA;
2016
Abstract
OBJECTIVE: This study involves the initial validation of the Short Schema Mode Inventory (SMI) in Italy. A total of 109 Axis II patients and 241 controls participated in the study. METHOD: Confirmatory factor analysis on SMI data to evaluate a measurement model of 14 factors using LISREL 8.80 was performed. Assessment of fit was based on CFI, NNFI, SRMR, RMSEA and Chi-square/df ratio. Reliability and construct validity were computed using SPSS 20. RESULTS: All indices considered (Chi-square = 15481.95; df = 6694; Chi-square/df = 2.23; NNFI = .95; CFI = .95; RMSEA = .061; SRMR = .079) reflected a reasonable fit of the observed data to 14- factors model. Reliability and construct validity were also good. CONCLUSIONS: These results support the factor structure, involving 14 factors, of the Italian SMI.
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