Why is it important to assess whether missing values are randomly distributed throughout the participants and measures? Or to put this in other words: why is it important to understand what processes lead to missing values?
Answer to relevant QuestionsSuppose that a student conducts a study in which the manipulated independent variable is level of white noise (60 decibels versus 65 decibels). Ten participants are assigned to each level of noise; these participants vary ...What is 2? Suppose that a researcher has conducted a simple experiment to assess the effect of background noise level on verbal learning. The manipulated independent level is the level of white noise in the room (group 1 = low level = ...Suppose that two raters (rater A and rater B) each assign physical attractiveness scores (0 = not at all attractive to 10 = extremely attractive) to a set of 7 facial photographs. Pearson r is a common index of inter-rater ...How are point biserial r (rpb) and the coefficient different from Pearson r?
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