One way to interpret a reliability coefficient (often an r value) is as the proportion of variance in X scores that is stable across occasions of measurement. Why do we interpret r (rather than r2) as the proportion of variance in X scores that is due to T, a component of the score that is stable across occasions of measurement? (See Figure 19.3.)
Answer to relevant QuestionsChapter 1 distinguished between two different kinds of samples: A. Random samples (selected randomly from a clearly defined population) B. Accidental or convenience samples a. Which type of sample (A or B) is more commonly ...When a researcher has an accidental or convenience sample, what kind of population can he or she try to make inferences about? Under what circumstances should a t distribution be used rather than the normal distribution to look up areas or probabilities associated with distances from the mean? Explain the terms in this equation: X = T + e. You might use a specific example; for instance, suppose that X represents your score on a measure of life satisfaction and T represents your true level of life satisfaction. Why is the SSerror term in repeated measures ANOVA typically smaller than the SSwithin term for a between-S ANOVA?
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