researchers who stand behind click path analysis note that "the path analytical method estimates a system of equations that specify all the possible causal linkages among a set of variables". further click paths enable researchers to break down correlations among variables into direct or indirect and spurious components. finally click path analysis "helps researchers disentangle the complex interrelationships among variables and identify the most significant pathways involved in predicting an outcome". but even with these advantages the technique is still critiqued by many due to its large margin of error. the model must assume that each variable is "an exact manifestation of the theoretical concepts underlying them and reasonably free of measurable error". another "casualty in the hypothesized model is that the path must flow in one direction (no feedback loops or bidirectional causality), otherwise the model cannot be solved with ordinary least squares regression techniques". lastly, because models are based on correlations, path analysis "cannot demonstrate causality or the direction of causal effects”. due to these limitations, many believe that click path analysis tends to be a waste of time, money, and resources.