Four statistics are proposed for the detection of local dependence (LD) among items analyzed using item response theory Among them, the X-2 and G(2) LD indexes are of special interest. Simulated data are used to study the distribution and sensitivity of these statistics under the null condition, as well as under conditions in which LD is introduced. The results show that under the null condition of local independence, bath the X-2 and GZ LD indexes have distributions very similar to the chi(2) distribution with I degree of freedom. Under the locally dependent conditions, both indexes appear to be sensitive in detecting LD or multidimensionality among items. When compared to Q(3), another statistic often used to detect LD, these new statistics are somewhat less powerful for underlying LD, equally powerful for surface LD, and better behaved in the null case.
