Searching for and Analyzing Designs with Two-Level Factors - Analyze Design Tab
Select the Analyze design tab of the Searching for and Analyzing Designs with Two-Level Factors dialog box to access the options described here.
Design contains botched runs; factor low/high values not exact. Select this check box to analyze a botched design where the factor levels for all runs were not set precisely at their intended values, i.e., the factor levels are not consistent with the design as it was generated.
To recode factor values (levels) use. The options in this box are only available if 1) the Design contains botched runs check box is selected, and 2) variables have been selected for the analysis. You can select the User-defined high/low factor values option to specify values that are to be used to "scale" the values for the factors. For example, for some runs for a factor A the intended High setting might have been 100, but when running the experiment, the actual setting that was used was 90. In that case, 90 will be scaled to the range from Low to High, i.e., interpreted as less than 100; however, if the factor high value for factor A was specified as 90, then that value will be considered the standard High value (rescaled to +1 for the computation of Effects coefficients), and 100 will be considered a botched setting (greater than 90, and greater than +1 when computing the Effects coefficients). Additional details regarding the scaling of the effect coefficients are also provided in the topic Main Effects and Interactions for Experiments with Two-Level Factors.
By default, if the user selects the Automatically determine factor levels from file option button, then the program will take the observed minimum and maximum values found in the data to be the factor's low and high settings, respectively. If the user selects the User-defined high/low factor levels option button, then a general user entry spreadsheet will be displayed where the user can specify the Low and High values for each factor.