Visualitza PSI_Dades d'investigació per autoria "9d3e6f96-7f66-4453-9c4b-87e08d330628"
Ara mostrant els elements 1-6 d 6
-
A Tutorial and Methodological Review on Autoregressive Linear Models: With R and with SPSS
Rosel, Jesús F.; Puchol, Sara; Flor Arasil, Patricia; Machancoses, Francisco H.; Canales, Juan J. (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. -
Another perspective on autocorrelation in intensive longitudinal data: Polynomial (straight line, quadratic…) ‘vs’ autoregressive models
Rosel, Jesús F.; Puchol, Sara; Flor Arasil, Patricia; Machancoses, Francisco H.; Canales, Juan J. (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 ... -
Comparison of Latent Growth Curves: A Parameter Constancy Test
Rosel, Jesús F.; Puchol, Sara; Flor Arasil, Patricia; Machancoses, Francisco H.; Canales, Juan J.; Elipe Miravet, Marcel (2023) -
Evolución del número de personas fallecidas por coronavirus en España, desde el 15 de marzo hasta el 3 de julio de 2020
Rosel, Jesús F.; Machancoses, Francisco H.; Puchol, Sara; Canales, Juan J. (2020) -
Inner parameter stability and long run trend tests in latent growth curves: Application in polynomial and nonlinear models
Rosel, Jesús F.; Machancoses, Francisco H.; Puchol, Sara; Canales, Juan J. (2021) -
Research data for: Smoking memory through pooled time series
Rosel, Jesús F.; Elipe Miravet, Marcel; Elósegui, Eduardo; Flor Arasil, Patricia; Machancoses, Francisco H.; Pallarés, Jacinto; Puchol, Sara; Canales, Juan J. (2019)