Key result
New multilevel autoregressive model accounts for measurement error in intensive longitudinal psychological data.
Population
Women
Comparison
Multilevel autoregressive modeling accounting… vs Regular autoregressive model assuming perfect…
Design
Other
Authors
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Hypothesis-generating advance; leaves open whether error-adjusted models improve inference in intensive longitudinal data.
Highlights the importance of accounting for measurement error in autoregressive time series modeling of intensive longitudinal psychological data.
Schuurman et al. (2018) studied this question. A preliminary multilevel autoregressive model was developed to account for measurement error and investigate person-specific reliability in intensive longitudinal psychological data.
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