Continuous Time Modeling of Panel Data by means of SEM

By Johan H. L. Oud, M. Delsing. 2010

96 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Management, Monitoring, Policy and Law, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/82d18dc2e385ecda1d88e30e762db56aeebae728

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Experimental and Cognitive Psychology

1. Steffen Zitzmann
2. Martin Hecht
3. O. Ryan
4. E. Hamaker
5. Rebecca M. Kuiper
6. Satoshi Usami
7. B. Muthén
8. Denny Borsboom

In Management, Monitoring, Policy and Law

1. Steffen Zitzmann
2. Martin Hecht
3. O. Ryan
4. Rebecca M. Kuiper

In Statistical and Nonlinear Physics

1. Raoul P. P. P. Grasman
2. Steffen Zitzmann
3. Martin Hecht
4. O. Ryan
5. Rebecca M. Kuiper

Citations in the corpus

• Sample Size Recommendations for Continuous-Time Models: Compensating Shorter Time Series with Larger Numbers of Persons and Vice Versa (2020, methodology): “2In line with Oud and Delsing (2010) and Hecht et al. (2019) we use the asterisk symbol * to denote discrete-time parameters that can be calculated from continuous-time parameters.”
• Drawing Conclusions from Cross-Lagged Relationships: Re-Considering the Role of the Time-Interval (2018, methodology): “& Vandekerckhove, 2011; Oud & Delsing, 2010b; Voelkle & Oud, 2013).”
• A critique of the cross-lagged panel model. (2015, background): “The current article forms a sequel to the warning given by Rogosa (1980), in that it will be argued that not only should we account for stability, but we also need to account for the right kind of stability.”