time series
Definition
Time series refers to a sequence of measurements or observations of psychological variables collected at successive time points over an extended period, typically used to examine the temporal dynamics and associations among variables in intensive longitudinal data. In idiographic networks, time series data are analyzed using vector autoregressive models that capture lagged relationships—the predicted associations between variables at one time point and subsequent time points. Fixed moderated time series models extend this approach by enabling the estimation of how context factors or moderators influence the connections within networks and changes in mean levels of variables, including the innovation structure or error component of the model.
Sources: Bringmann et al. (2024)
Related Terms
Applications
Time Series and Idiographic Networks
Idiographic psychological networks based on intensive longitudinal time series data are employed to examine associations among psychological variables over time and to understand their temporal dynamics. Most current idiographic network models assume that connections between variables and their mean levels are time-invariant, whereas the fixed moderated time series model allows researchers to examine how network structures change over time depending on context factors or moderators.
Sources: Bringmann et al. (2024)
Time Series and Moderation Analysis
The fixed moderated time series model implements moderation analysis within a vector autoregressive framework, allowing all parameters of the model—including lagged connections and the innovation structure—to be moderated by external factors.
Sources: Bringmann et al. (2024)
Time Series and Intensive Longitudinal Data
Intensive longitudinal data collected through repeated measurements over extended periods form the basis for time series analyses. Time series data enable the modeling of how psychological variables change over time as a primary research interest.
Sources: Bringmann et al. (2024)
