Multiple Choice
Assume the six variables tended to cluster into two dimensions (i.e. two factors) . The first dimension (aerobic) involved aerobic capacity, peak expiratory flow and haematocrit, whilst the second dimension (strength) involved static muscular strength, muscular endurance and isoinertial muscular strength. Ideally, how would we expect to see the relationships between the variables and the factors (coordinates) presented graphically on x- and y-axes?
A) High on one axis (e.g. aerobic) , low on the other axis (e.g. strength)
B) High on one axis (e.g. aerobic) , high on the other axis (e.g. strength)
C) Low on one axis (e.g. aerobic) , low on the other axis (e.g. strength)
D) Moderate on one axis (e.g. aerobic) , low on the other axis (e.g. strength)
Correct Answer:

Verified
Correct Answer:
Verified
Q1: What is the purpose of measuring a
Q2: To proceed with the factor analysis, what
Q3: Rotation is used to discriminate between factors.
Q4: Based on the earlier example of physical
Q6: Calculate the factor scores for aerobic (factor
Q7: Which of the following adjustments are required
Q8: Which academic discipline within sports science tends
Q9: How would you differentiate between principal component
Q10: The fundamental aim of principal component analysis
Q11: What is meant by the term 'latent