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. Author manuscript; available in PMC: 2020 May 1.
Published in final edited form as: Psychiatry Res. 2019 Mar 9;275:61–70. doi: 10.1016/j.psychres.2019.03.014

Table 1.

Fit indices for the latent class analysis of different types of NNSI behaviors and emotion regulation difficulties.

Number of Classes df AIC BIC adj-BIC Entropy Bootstrapped LRT, p-value Significant Change in Fit?
One 22 15344.67 15427.99 15358.20 N/A N/A N/A
Two 34 14766.9 14895.66 14787.81 0.9 601.77, p < 0.001 Yes
Three 46 14382.06 14556.25 14410.35 0.94 408.84, p < 0.001 Yes
Four 58 14035.45 14255.09 14071.11 0.96 370.61, p < 0.001 Yes
Five Could not be specified
Six Could not be specified

Note: N=326. A model was deemed to have better fit if there were significant decreases in AIC, BIC, and adj-BIC values, a significant LRT, and increases in entropy values in comparison with the prior class solution. Df = Degrees of freedom; AIC = Akaike information criteria; BIC = Bayesian information criteria, adj-BIC = sample-size-adjusted Bayesian information criteria; LRT = parametric bootstrapped likelihood test.