Interpretation
of impedance spectroscopy data requires both a description
of the chemistry and physics that govern the system and an assessment
of the error structure of the measurement. The approach presented
here includes use of graphical methods to guide model development,
use of a measurement model analysis to assess the presence of stochastic
and bias errors, and a systematic development of interpretation models
in terms of the proposed reaction mechanism and physical description.
Application to corrosion, batteries, and biological systems is discussed,
and emerging trends in interpretation and implementation of impedance
spectroscopy are presented.