A drawback to the completely within-subjects factorial design is that:
A. as the number of factors increases, so does the number of treatments that the subjects must go through, making the design cumbersome and complex for subjects.
B. carryover effects cannot be dealt with.
C. too many subjects are required as the design gets larger and larger.
D. None of the answers is correct.
Answer: A
You might also like to view...
The romance of leadership explains
a. why leaders are loved. b. why so much theory is devoted to the concept of leadership. c. people’s tendency to overestimate a leader’s influence and control. d. why most assume that leadership is an inborn talent. e. sex differences in leadership.
What is indicated by a large value for the chi-square statistic?
a. The sample data (observed values) do not match the null hypothesis. b. There is a good fit between the sample data (observed values) and the null hypothesis. c. The observed values from the sample data are consistently larger than the expected values. d. The observed values from the sample data are consistently smaller than the expected values.
In many cases, the issue of identifying all the individuals in a large population to allow for random sampling is too difficult to overcome. For these situations, researchers often use convenience samples to select a sample from the population.
Answer the following statement true (T) or false (F)
Other factors being equal, which child is at highest risk for negative outcomes in adolescence like poor school performance and low self-confidence?
a. a boy raised by permissive parents b. a girl raised by permissive parents c. a boy raised by authoritarian parents d. a girl raised by authoritarian parents e. a boy or girl raised by authoritative parents