Models for Intensive Longitudinal Data

By Dan Hall. 2007

221 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/3f4f7ca6d8e2383517397acc3b51067574f8495f

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In Management Science and Operations Research

Citations in the corpus

Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling (2nd Edition) (2013, background): “There is certainly a limit to the amount of material that can be treated in any given chapter, and dedicated texts on intensive repeated measures and longitudinal analyses are available (e.g., Hedeker & Gibbons, 2006; Singer & Willett, 2003; Walls & Schafer, 2006).”
The disaggregation of within-person and between-person effects in longitudinal models of change. (2011, background): “Long- and short-term longitudinal studies are therefore becoming increasingly prevalent, including both traditional designs (e.g., Goldstein 1981) as well as newer experience sampling and ecological momentary assessment approaches (e.g., Walls & Schafer 2006).”
Stability and variability of personality networks. A tutorial on recent developments in network psychometrics (2017, background): “The growing interest in conceptualizing individual differences in dynamic termshas led research to use intensive longitudinal data (Walls & Schafer, 2006), that is, many repeated measurements for multiple persons.”
Advancing Multilevel Research Design (2013, unknown): “That means using longitudinal research designs and, to truly capture complexity in emergence, intensive longitudinal designs with many repeated measurements; not 5 or 10 or 20, but 30 or more (DeShon, 2012; Walls & Schafer, 2006).”
Advancing research on team process dynamics (2015, background): “Moreover, ESM enables longitudinal sampling over time at rates that are necessary for the application of dynamical analyses (DeShon, 2012; Walls & Schafer, 2006).”
Modeling Affect Dynamics: State of the Art and Future Challenges (2015, background): “However, many of the key ILD publications focus rather strongly on why and how we should gather ILD, but say very little about the analysis of ILD (for exceptions, see Bolger & Laurenceau, 2013; Mehl & Conner, 2012; Walls & Schafer, 2006).”
Real-time motivation and engagement during a month at school: Every moment of every day for every student matters (2015, methodology): “According to Walls and Schafer (2006), intensive longitudinal studies “uniquely contribute to our understanding of behavior and other phenomena by providing temporal information on proximal states and contexts and by providing data on ephemeral events that are difficult to recall or that are…”
Microrandomized trials: An experimental design for developing just-in-time adaptive interventions. (2015, methodology): “…to analyze intensive longitudinal data, such as multilevel models (MLM) and the generalized estimating equation (GEE; e.g., Bolger & Laurenceau, 2013; Walls & Schafer, 2006) can also be used in microrandomized trials to assess overall treatment effects and factors that might moderate those effects.”