Which of the following describes the effect of an increase in the variance of the difference scores in a repeated-measures design? Question options: Measures of effect size and the likelihood of rejecting the null hypothesis both decrease. There is little or no effect on measures of effect size, but the likelihood of rejecting the null hypothesis increases. There is little or no effect on measures of effect size, but the likelihood of rejecting the null hypothesis decreases. Measures of effect size increase, but the likelihood of rejecting the null hypothesis decreases.
Which of the following describes the effect of an increase in the variance of the difference scores in a repeated-measures design? Question options: Measures of effect size and the likelihood of rejecting the null hypothesis both decrease. There is little or no effect on measures of effect size, but the likelihood of rejecting the null hypothesis increases. There is little or no effect on measures of effect size, but the likelihood of rejecting the null hypothesis decreases. Measures of effect size increase, but the likelihood of rejecting the null hypothesis decreases.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 11PPS
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Which of the following describes the effect of an increase in the variance of the difference scores in a repeated-measures design?
Question options:
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Measures of effect size and the likelihood of rejecting the null hypothesis both decrease.
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|
There is little or no effect on measures of effect size, but the likelihood of rejecting the null hypothesis increases.
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There is little or no effect on measures of effect size, but the likelihood of rejecting the null hypothesis decreases.
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Measures of effect size increase, but the likelihood of rejecting the null hypothesis decreases.
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