Why do repeated-measures designs have so much power?
What will be an ideal response?
The reason is that the standard deviation of difference scores is usually quite low. This produces a larger effect size, which increases the power. In a repeatedmeasures design, the only variation is in the difference scores. Variation among participants on each testing's scores are not part of the variation involved in the
analysis. This is because difference scores are all comparing participants to themselves. The effect of these factors is that studies using difference scores often have large effect sizes (and thus high power) even with a small number of people in the study.
You might also like to view...
Based on the text's survey of the life course, you might conclude that
a. life-course stages are shaped by society and have nothing to do with biology. b. life-course stages are similar throughout the world. c. while life-course stages are linked to biology, they are largely a social construction. d. life-course stages have changed little over recent centuries.
The infant mortality rate for African Americans is more than twice as high as it is for white people
Indicate whether the statement is true or false
A reversal in life expectancy has become a reality in recent years for
a. women with less education. b. men with more education. c. men and women with more education. d. women with more education.
Asian Americans in general are highly urbanized.
Answer the following statement true (T) or false (F)