Detecting Lag-One Autocorrelation in Interrupted Time Series Experiments with Small Datasets

Authors

Clare Riviello, University of Texas at AustinFollow
S. Natasha Beretvas, The University of Texas at AustinFollow

Abstract

The power and type I error rates of eight indices for lag-one autocorrelation detection were assessed for interrupted time series experiments (ITSEs) with small numbers of data points. Performance of Huitema and McKean’s (2000) z_HM statistic was modified and compared with the z_HM, five information criteria and the Durbin-Watson statistic.

DOI

10.22237/jmasm/1257034200