Which of the following is an important advantage of a repeated-measures ANOVA design? A different sample of participants serves in each condition, making it possible to compare different populationsIndividual differences do not contribute to unsystematic varianceA large number of participants is generally required, which provides a better glimpse of the population All of the above
Question
Which of the following is an important advantage of a repeated-measures ANOVA design? A different sample of participants serves in each condition, making it possible to compare different populationsIndividual differences do not contribute to unsystematic varianceA large number of participants is generally required, which provides a better glimpse of the population All of the above
Solution
The important advantage of a repeated-measures ANOVA design is that individual differences do not contribute to unsystematic variance. In a repeated-measures design, the same participants are used in all conditions. This means that all individual differences (which are a common source of unsystematic variance in an independent-groups design) are held constant. Therefore, any changes in the dependent variable can be more confidently attributed to the independent variable, not to individual differences.
Similar Questions
Which of the following is an extremely important design element to have in an experimental study? Check all that apply. Treatments that are imposed by the experimenter A placebo Groups which are exactly the same size Randomized selection of participants
Which of the following is an important advantage of experiments over observational studies? Check all that apply. Ensuring that each subject in the trial receives the best possible treatment Isolating the effects of a specific treatment Guaranteeing that approximately the same number of subjects is assigned to each treatment group Controlling for lurking variables to have a stronger case for causation
____ make observations of the same people over time.Multiple choice question.Double-blind studiesMeta-analysis designsLongitudinal designsCorrelational designs
In what situations is the analysis of variance (ANOVA) commonly used for statistical analysis? A. A. to compare the means of two independent samples for equality. B. B. to compare the mean of one sample to the mean of the whole. C. C. to compare the difference in means of two related samples. D. D. Compare the means of multiple samples for significant differences.
Repeating an expeiment with different subject groups and conditions in experimental research is aa.Advantageb.Disadvantagec.constraintd.concern
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.