Multiple Choice
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
Correct Answer:
Verified
Q5: When are negative results interpretable?<br>A) When negative
Q6: Which of the following is true of
Q7: What is an interaction?<br>A) An overall effect
Q8: When are negative results important?<br>A) When questions
Q9: What do negative results imply?<br>A) The study
Q10: In data analysis and interpretation, "prediction" can
Q11: Which of the following may be an
Q12: What are negative results?<br>A) Finding no predicted
Q14: Which of the following is a characteristic
Q15: Repeated failure to replicate findings of a