Chat with AIExam 4: Reliability
Because classic test theory assumes a person's true score is the same over time,repeating the same test over and over gives a distribution of scores that reflect what?
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Discuss the challenges to the use of difference scores.
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Answered by Examlex AI CopilotDifference scores, which are calculated by subtracting one score from another, can be a useful tool in research and analysis. However, there are several challenges to their use that should be considered.
One challenge is the issue of reliability. Difference scores can be less reliable than individual scores, as they are influenced by the reliability of both the initial scores being subtracted. If either of the original scores is not reliable, the resulting difference score may also be unreliable.
Another challenge is the potential for regression to the mean. This occurs when extreme scores on one measurement tend to be less extreme on a subsequent measurement. When using a pre-test and post-test design, for example, individuals with very high or very low initial scores may show a tendency to move closer to the mean on the second measurement, leading to a smaller difference score than expected.
Additionally, difference scores can be sensitive to outliers. If there are extreme scores in either the initial or subsequent measurements, the resulting difference score may be disproportionately influenced by these outliers, leading to a distorted representation of the true change.
Finally, the interpretation of difference scores can be complex. It can be difficult to determine whether a difference score represents a meaningful change or is simply due to measurement error or random variation. Without a clear understanding of the underlying factors contributing to the difference score, it can be challenging to draw accurate conclusions from the data.
In conclusion, while difference scores can be a valuable tool for analyzing change over time or differences between groups, they come with several challenges that should be carefully considered. Researchers should be mindful of the potential for reliability issues, regression to the mean, sensitivity to outliers, and the complexities of interpretation when using difference scores in their analyses.
The difference between KR 20 and coefficient alpha is
(37) VerifiedC
Why might different random samples of domain items yield different estimates of the true score?
(27) When creating a test,one generally uses a subset of items to represent a larger construct.This is known as
(41) Who developed methods for evaluating sources of error in behavioral research?
(29) If the same test,given at different points in time to the same test takers,yields different scores,then the method typically used to assess this source of error is
(24) In the domain sampling model,the error that is being considered is the error caused by
(30) Dr.Janine developed two equivalent forms of a test and administered them both,in counter-balanced order,to a group of people on the same day in order to assess reliability.What is this called?
(37) Upon repeated applications of the same test,performance on the second application may be affected by previous experience on the test.This is known as
(41) The preferred method for assessing the level of agreement between observers is the
(40) There are several methods to estimate reliability.Compare and contrast the different methods of reliability discussed in this chapter,stressing the importance of coefficient alpha.
(44) Assuming the "rubber yardstick" shrinks and expands at random,what can be said about the distribution of scores from the rubber yardstick?
(37) If a researcher is attempting to assess the reliability of a measure of depression,the method of choice would be
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