Strom, Kaye and Boutsen, Frank (2009) ARIMA procedures in single subject research: An evolution of best practices in statistical methodology. [Clinical Aphasiology Paper]
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Abstract
An evolution can be traced in the methods of statistical analysis for single-subject design. Most recently, the autoregressive integrated moving averages or ARIMA has been introduced as a technique that is superior to the d-statistic, C-statistic, and ITSACORR (interrupted time-series analysis) not only because of reduced Type 1 error but also because of its forecasting capability. This tutorial describes the technique and the benefits of the ARIMA method to analyze single-subject time series studies to estimate treatment progress as well as effects of extended treatment through forecasting capabilities.
| Item Type: | Clinical Aphasiology Paper |
|---|---|
| Additional Information: | USED WITH PERMISSION. |
| Depositing User: | Cheryl Brown |
| Date Deposited: | 29 Oct 2010 |
| Last Modified: | 31 Oct 2016 15:13 |
| Conference: | Clinical Aphasiology Conference > Clinical Aphasiology Conference (2009 : 39th : Keystone, CO : May 26-30, 2009) |
| URI: | http://aphasiology.pitt.edu/id/eprint/2091 |
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