A method for calibrating a measurement device of a biosensor system, the method comprising: for each of at least two different analyte concentrations of reference samples, measuring at least two analyte responsive output signals, the analyte responsive output signals being affected by two stimuli including a primary stimulus in the form of a reference sample analyte concentration from each reference sample, and an extraneous stimulus resulting from one or more of a physical characteristic, an environmental aspect, or a manufacturing variation error incorporated into the analyte responsive output signals, wherein measuring is performed at at least two different extraneous stimulus levels; measuring, from each reference sample, a responsive output signal associated with the extraneous stimulus and being in the form of an extraneous stimulus responsive output signal; quantifying the extraneous stimulus responsive output signal to provide at least two quantified extraneous stimulus values; determining a normalizing relationship from the analyte responsive output signals and the two quantified extraneous stimulus values, the normalizing relationship being determined at a single selected sample analyte concentration of the reference sample analyte concentrations; determining a normalized value from the normalizing relationship by inputting the quantified extraneous stimulus values into the normalizing relationship; dividing the analyte responsive output signals by the normalizing value to provide normalized analyte responsive output signals; for at least two different analyte concentrations, determining a normalized reference correlation between the two normalized analyte responsive output signals and the reference sample analyte concentrations by a regression technique, the normalized reference correlation providing a reduced stimulus effect in which the two stimuli are reduced only to the primary stimulus; and storing the normalizing relationship and the normalized reference correlation in the measurement device. for each of at least two different analyte concentrations of reference samples, measuring at least two analyte responsive output signals, the analyte responsive output signals being affected by two stimuli including a primary stimulus in the form of a reference sample analyte concentration from each reference sample, and an extraneous stimulus resulting from one or more of a physical characteristic, an environmental aspect, or a manufacturing variation error incorporated into the analyte responsive output signals, wherein measuring is performed at at least two different extraneous stimulus levels; measuring, from each reference sample, a responsive output signal associated with the extraneous stimulus and being in the form of an extraneous stimulus responsive output signal; quantifying the extraneous stimulus responsive output signal to provide at least two quantified extraneous stimulus values; determining a normalizing relationship from the analyte responsive output signals and the two quantified extraneous stimulus values, the normalizing relationship being determined at a single selected sample analyte concentration of the reference sample analyte concentrations; determining a normalized value from the normalizing relationship by inputting the quantified extraneous stimulus values into the normalizing relationship; dividing the analyte responsive output signals by the normalizing value to provide normalized analyte responsive output signals; for at least two different analyte concentrations, determining a normalized reference correlation between the two normalized analyte responsive output signals and the reference sample analyte concentrations by a regression technique, the normalized reference correlation providing a reduced stimulus effect in which the two stimuli are reduced only to the primary stimulus; and storing the normalizing relationship and the normalized reference correlation in the measurement device.