Final answer:
A mixed factorial design with one non-manipulated variable is a research design that allows researchers to study the effects of manipulated and non-manipulated variables on the dependent variable simultaneously.
Step-by-step explanation:
A mixed factorial design is a research design that includes multiple independent variables, some of which are manipulated and others that are not. In this case, we are looking at a mixed factorial design with one non-manipulated variable, which means that one independent variable is measured but not manipulated.
This type of design allows researchers to simultaneously study the effects of manipulated variables and non-manipulated variables on the dependent variable.
For example, let's say we are studying the effects of both gender (manipulated variable) and age (non-manipulated variable) on test scores (dependent variable) in a psychology experiment. We would have two levels of the manipulated variable (male and female) and several levels of the non-manipulated variable (different age groups).
We would then compare the test scores of participants in each combination of gender and age, such as male participants of different age groups and female participants of different age groups, to see if there are any significant differences in test scores based on these factors