Ontology highlight
ABSTRACT:
SUBMITTER: Schuurman NK
PROVIDER: S-EPMC4516825 | biostudies-literature | 2015
REPOSITORIES: biostudies-literature
Schuurman Noémi K NK Houtveen Jan H JH Hamaker Ellen L EL
Frontiers in psychology 20150728
Measurement error is omnipresent in psychological data. However, the vast majority of applications of autoregressive time series analyses in psychology do not take measurement error into account. Disregarding measurement error when it is present in the data results in a bias of the autoregressive parameters. We discuss two models that take measurement error into account: An autoregressive model with a white noise term (AR+WN), and an autoregressive moving average (ARMA) model. In a simulation st ...[more]