Which of the following statements is not correct?
A) Including a confounding variable will change the analysis by decreasing the significance if the confound explains mainly random variance.
B) Including a confounding variable will change the analysis by increasing the significance if the confound explains mainly random variance.
C) Including a confounding variable will change the analysis by very little or not at all if the confound explains both experimental and random variance.
D) Including a confounding variable will not change the analysis if the confound explains mainly random variance.
Correct Answer:
Verified
Q1: When do you use an analysis of
Q2: What is a confounding variable?
A) A variable
Q4: How can you remove any effects of
Q5: Which steps do you need to take
Q6: How do you get the effect sizes
Q7: You must use either planned or post
Q8: Which of the following statistics do you
Q9: What is Dummy Variable Modelling used for?
A)
Q10: What is the non-parametric equivalent of ANCOVA
Q11: In the worksheet exercise, what was the
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents