Question

Dr. Deveraux has conducted a study that has resulted in a null effect. Nonetheless, she suspects that there truly is a causal relationship between her independent and dependent variables. Which of the following is UNLIKELY to be to blame?a. A reverse confound

b. An insensitive measure
c. Too many participants
d. A weak manipulation

Answer 1

c) is the correct option

Step-by-step explanation:

• A dependent variable represents a quantity whose value depends on how the independent variable is manipulated
• An independent variable is a variable that represents a quantity that is being manipulated in an experiment
• A causal relation between two events exists if the occurrence of the first causes the other
• The first event is called the cause and the second event is called the effect
• One way to determine whether a relationship between variables is causal is based on three criteria for research design: temporal precedence meaning that the hypothesized cause happens before the measured effect; co-variation of the cause and effect meaning that there is an established relationship between the two variables regardless of causation; and a lack of plausible alternative explanations
• Here in this case too may participants cannot be the criteria for a causal relationship between the two variables