In interpretation of the data, the term "highly significant effect" is a misnomer because:
A) Significance testing is all or none, as a matter of design, and highly is not appropriate
B) There is no standard meaning this term has
C) The term implies that the effect was strong, but significance testing does not measure magnitude of effect
D) All of the above
Correct Answer:
Verified
Q2: What do negative results imply?
A) The study
Q3: When are replications particularly important?
A) When they
Q4: In data analysis and interpretation, "prediction" can
Q5: What is an interaction?
A) An overall effect
Q6: When are negative results important?
A) When questions
Q7: Which of the following is a type
Q8: Which of the following is a characteristic
Q9: Why is replication important?
A) It increases the
Q10: Repeated failure to replicate findings of a
Q11: From the alternatives below, what should the
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