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Our data suggests that the IAS is in student samples best represented by a four factor-solution and in patient samples by a two-factor-solution.
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The principal components factor analysis yielded three factors with eigenvalues over one in most countries, with a two factor solution in Cuba, and a four factor solution in Mexico.
Both a single unidimensional solution was tested (i.e. all 22 items together) together with a four factor solution, representing the four domains listed above.
Evidence for internal validity was supported by a PCA, suggesting a three factor solution with all items loading on the same subscales as in the original HSS-40.
Evidence for this was also shown by our factor analysis which yielded a two factor solution for the OMS-HC in which we had a 7 item subscale measuring attitudes towards people with mental illness and a 5 item subscale measuring attitudes towards disclosure of a mental illness.
Repeat analyses completed with the remaining 11 items that loaded on a factor at >.40 demonstrated a good model fit with a two factor solution as evidenced by a Chi-Square test of model fit, 32.03 df=34), p=.564; a RMSEA of.000; a RMSR of.140; and a TLI of 1.014.
A three factor solution was identified in a study by Chabrol and Teissedre[ 11], distinguishing anxiety, depressive mood and anhedonia.
A quantitative and qualitative analysis of the items suggested that a five factor solution was more appropriate and this was validated by confirmatory factor analysis.
Two possible solutions were expected; a three factor solution (Kafkas, 2011) merging MG-A, MS, and CS in a single factor or a five factor solution (Hall et al., 1998; Ruiz and Watt, 2014; Watt et al., 2006).
This "anchored" approach showed that a seven factor solution was optimal.
Analysis produced a three factor solution.
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