The log-linear method is often used for the analysis of multivariate frequency tables obtained by cross-classifying groups of variables at levels (Vermunt 2005). Therefore, we used univariate log-linear mode selection (chi-square multivariate analysis procedure) to identify any differences in trapping efficiency among the eight types of pitfall traps and also to evaluate the effects of cover, diameter, and trap type and the interaction of these three factors on the number of specimens of each species in three months. The goodness-of-fit of an assumed log-linear model can be assessed by comparing the estimated expected frequencies with the observed frequencies (Vermunt 2005). For this purpose, two chi-square statistics (the likelihood ratio statistic and the Pearson statistic) were used. The univariate General Linear Model (GLM) was also used to generate the graphs. All statistical analyses were performed with the statistical program IBM SPSS 25.0 for Windows (SPSS, Inc., Chicago, Illinois). Significant differences in the abundance of scorpions captured by each trap were compared using the nonparametric Kruskal-Wallis test.