We used mean above minus mean below a cut (MAMBAC; Meehl and Yonce, 1994), maximum eigenvalue (MAXEIG; Waller and Meehl, 1998), and latent mode (L-Mode; Waller and Meehl, 1998) for the taxometric analyses reported in this study and in Study 2. These three taxometric procedures are non-redundant, so consistent results across all three procedures provides compelling evidence for the study's findings. In MAMBAC, one variable is selected as the input indicator, and the data are sorted along the x-axis using this indicator. A series of cuts are then made along the x-axis (50 in the current studies), and at each cut, the difference between the mean of the output variable above the cut and the mean of the output variable below the cut is plotted along the y-axis. Because the indicators in both studies were eight individual items (i.e., the ODD symptoms), the input indicator was constructed by summing the seven items that were not used as the output indicator (Walters and Ruscio, 2009). The MAMBAC analysis is then repeated selecting a different item as the output indicator, resulting in
