As we have seen, there are different types of factors, one of which is Hard To Change factors. Some factors are difficult to randomize throughout the design because of a specific constraint, such as a physical constraint, or time) and therefore need to be treated differently. For example, temperature is often considered a Hard To Change factor in biological experiments because all runs for a specific temperature need to be grouped together in the same plate and separate from all the other runs. This is because plates are usually incubated at a temperature that is the same for all wells.
To learn more about how Hard To Change factors need to be handled differently, and the reasons why, read the following tutorials.
Hard To Change factors are a special type of factor that needs to be handled in a specific way. Learn what Hard To Change factors are, and in what types of situations you might need to use them.
Hard To Change factors are handled in a special way that influences the type of design that is calculate, and consequently how they should be treated during modelling and response analysis. Learn how they influence DOE design calculations and the statistics behind them.
Learn how you can identify a factor as being Hard To Change in Synthace.