Existing methods for setting confidence intervals for the difference between binomial proportions based on paired data perform inadequately. The asymptotic method can produce limits outside the range of validity. The 'exact' conditional method can yield an interval which is effectively only one-side
Differences scores: regression-based reliable difference and the regression-based confidence interval
✍ Scribed by Richard A. Charter
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 92 KB
- Volume
- 65
- Category
- Article
- ISSN
- 0021-9762
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Over 50 years ago Payne and Jones (1957) developed what has been labeled the traditional reliable difference formula that continues to be useful as a significance test for the difference between two test scores. The traditional reliable difference is based on the standard error of measurement (SEM) and has been updated to a confidence interval approach. As an alternative to the traditional reliable difference, this article presents the regression‐based reliable difference that is based on the standard error of estimate (SEE) and estimated true scores. This new approach should be attractive to clinicians preferring the idea of scores regressing toward the mean. The new approach is also presented in confidence interval form with an interpretation that can be viewed as a statement of all hypotheses that are tenable and consistent with the observed data and has the backing of several authorities. Two well‐known conceptualizations for true score confidence intervals are the traditional and regression‐based. Now clinicians favoring the regression‐based conceptualization are not restricted to the use of traditional model when testing score differences using confidence intervals. © 2009 Wiley Periodicals, Inc. J Clin Psychol 65: 1–5, 2009.
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