ARIMA procedures in single subject research: An evolution of best practices in statistical methodology

Strom, Kaye and Boutsen, Frank (2009) ARIMA procedures in single subject research: An evolution of best practices in statistical methodology. [Clinical Aphasiology Paper]

[img] PDF
viewpaper.pdf

Download (365kB)

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: 03 Jun 2016 12:54
Conference: Clinical Aphasiology Conference > Clinical Aphasiology Conference (2009 : 39th : Keystone, CO : May 26-30, 2009)
URI: http://eprints-prod-05.library.pitt.edu/id/eprint/2091

Actions (login required)

View Item View Item