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Another perspective on autocorrelation in intensive longitudinal data: Polynomial (straight line, quadratic…) ‘vs’ autoregressive models
(2023)
While the theory of longitudinal data analysis (LDA) has a solid foundation, there are instances where the assumptions of the analytical model remain unverified. Failure to examine autocorrelation in residuals (ACR) can ...
A Tutorial and Methodological Review on Autoregressive Linear Models: With R and with SPSS
(2024)
This tutorial shows the analysis of univariate time series (TS) using autoregressive (AR) models in R and SPSS, illustrating that specialized software for TS analysis is not required.