To solve the given question, let's review the definitions and roles of each variable type mentioned:

1. Independent Variable: This is the variable that is intentionally changed or manipulated by the researcher to observe the effect on another variable. It is the presumed cause in a study.
2. Confounding Variable: These are extraneous variables that could affect the outcome of an experiment. They may interfere with the dependent variable and lead to false conclusions about the effect of the independent variable.
3. Dependent Variable: This is the variable that is measured in an experiment. It is expected to change as a result of manipulations to the independent variable. Essentially, it is the presumed effect.
4. Controlled Variable: These variables are kept constant throughout the experiment to ensure that any changes in the dependent variable are due to the manipulation of the independent variable alone.

With these definitions in mind, let's determine which variable fits the description given in the question:

The question asks for the variable that measures the effect of a manipulated variable. Following the definition:

• The independent variable cannot be the answer, as it is the one manipulated, not measured.
• The confounding variable is incorrect as it introduces potential bias but is not the intended measure of the manipulated effect.
• The controlled variable is kept constant and does not measure effects.

Therefore, the dependent variable is the correct answer as it is directly affected by changes in the independent variable and is used to measure the impact of these changes.

In conclusion, the appropriate answer is: Dependent variable.