An example of visual inspection involves evaluating data from a single-subject study to determine treatment effectiveness based on level, trend, and latency. If a graph shows a high, increasing trend in the baseline condition that quickly changes to a lower, decreasing trend in the treatment condition, and then returns to a high level when baseline is reinstated, visual inspection strongly suggests the treatment is effective. Conversely, small changes in level and continuous trends across conditions suggest an ineffective treatment.