Social, economic, violence, political, and gun access predictors of suicide and gun suicide were examined via sociological autopsy. The model predicting suicide rates overall had the best results, χ(2) (9, N=50)=5.279 (CMIN, the goodness of fit statistic that represents the minimum discrepancy between the unrestricted sample covariance matrix and the restricted covariance matrix) p=.809, [the goodness of fit statistic that represents the minimum discrepancy between the unrestricted sample covariance matrix and the restricted covariance matrix] indicating an excellent fit of the data and theoretical model. The model explained 76% of the variance in state suicide rates and was a significantly better predictor than one could expect by chance, F(6,43)=22.889, p<.001). All path coefficients were significant predictors of suicide with the exception of violence climate, which was not included. This study contributes to the theoretical knowledge by adding a comprehensive framework of analysis and model useful for prevention.
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