The missing piece: a sociological autopsy of firearm suicide in the United States

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.