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VLD [36.1K]
3 years ago
5

Dr. Deveraux has conducted a study that has resulted in a null effect. Nonetheless, she suspects that there truly is a causal re

lationship 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
Biology
1 answer:
enyata [817]3 years ago
5 0
<h2>c) is the correct option</h2>

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
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