There are many electrochemical systems showing irreversible behavior. It is interesting to find a suitable method for studying the complex mechanism of an irreversible process. Among several available methods, thin-layer spectroelectrochemistry is the simplest and most convenient if the species studied has a relatively large change in spectrum during the electrochemical process. Thin-layer spectroelectrochemistry combined with potential-control techniques can offer a time window of 30-3000 s for a thin-layer cell with 0.02 cm thickness, which is long enough to monitor an electrochemical reaction with standard heterogeneous electron-transfer rate constants of k 0 < 10 Ϫ5 cm s Ϫ1 , or coupled chemical reactions with rate constants of 10 Ϫ2 < k < 10 Ϫ4 s Ϫ1 (for first-order reactions). 1-4 This method has been used to study mechanisms and/or to determine kinetic and thermodynamic parameters of electrochemical reactions. 5-9 The thinlayer spectroelectrochemical measurement is directly related to the faradaic current without interference of diffusion and nonfaradaic currents such as charging current. From potential-controlled spectroelectrochemical experiments, a set of potential-spectrum data is commonly obtained. How to extract some important information for a complex electrochemical process from the limited experimental data is an interesting topic, especially for future development of spectroelectrochemistry. A well-known method is the Nernstian plot, which gives out thermodynamic parameters of E 0 Ј and n for a simple electrochemical process, but for a complex electrochemical process it cannot always show a straight line depending on the mechanism of the process. 10-13 Meites used a linearization method 14,15 to simplify a complex electrochemical process and extracted some mechanism information from the current-time data of potential-controlled experiments. Nowadays the nonlinear regression method has been commonly used to obtain some information about the mechanism of a complex electrochemical process, 16 but sometimes it is difficult to carry out, especially for multiple-parameter nonlinear regression based on a small amount of experimental data (commonly 10-15 data points). It is significant to find a simple method to extract some important information from a set of limited experimenta data of a complex process. If the mathematical model for a complex process is too difficult to describe analytically or a set of experimental data cannot be described with a suitable mathematical formula, then numerical analysis is very useful. In the present paper, a double logarithmic method has been adopted based on the combination of linearization with theoretical treatment for an electrochemical irreversible process in thin-layer spectroelectrochemical experiments. The numerical analysis shows that this method offers a simple and useful way to deal with potential-controlled thin-layer spectroelectrochemical data for distinguishing different mechanisms and also for determining some thermodynamic parameters of the process. Wi...