Asked by Jimmy Moore on Jul 08, 2024
Verified
Which of the following is a reason why a researcher may design an experiment with more than two levels of an independent variable?
A) A design with only two levels of an independent variable cannot provide much information about the exact form of the relationship between the independent and dependent variables.
B) When there are only two levels of an independent variable, the relationship between the independent and dependent variables cannot be described with a straight line.
C) An experiment with only two levels of one independent variable always tends to show that there is a positive relationship between the independent and dependent variables.
D) An experimental design with only two levels of the independent variable can only detect curvilinear relationships between the independent and dependent variables.
Independent Variable
The variable that is manipulated by the researcher to examine its impact on the dependent variable in an experiment.
Dependent Variables
Variables in a study that are expected to change or vary as a result of manipulations or treatments applied to independent variables.
- Understand the significance of employing various tiers of an independent variable to identify non-linear relationships.
Verified Answer
VM
Valeriya MandurovaJul 14, 2024
Final Answer :
A
Explanation :
A researcher may design an experiment with more than two levels of an independent variable because a design with only two levels of an independent variable cannot provide much information about the exact form of the relationship between the independent and dependent variables. By having more levels, the researcher can better understand how the independent variable affects the dependent variable and what patterns or trends may emerge.
Learning Objectives
- Understand the significance of employing various tiers of an independent variable to identify non-linear relationships.