Groot, Jens de (2022) Uncovering change in emotion regulation in clinical practice with the threshold autoregressive model. Master's Research Project 2, Biomedical Sciences.
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Abstract
The threshold autoregressive (TAR) model is a model that describes state-dependent changes in regulatory behaviour of a system. Recently, the TAR model has been used by psychologists to study its potential in measuring state-dependent affect regulation over multiple timepoints across multiple individuals. This research is a follow up in which we study how many timepoints are sufficient for the model to make sound inferences about possible statedependent regulation of affect for a single person. We make use of simulation trials to assess the capability of the TAR model to converge and produce good estimates for each model parameter while we vary the number of timepoints and some regulation parameters of the TAR model. We further apply a real dataset to the model in order to illustrate how to estimate the model and interpret the results. The results are discussed in light of clinical practice.
| Item Type: | Thesis (Master's Research Project 2) |
|---|---|
| Supervisor name: | Olivier, J.D.A. |
| Degree programme: | Biomedical Sciences |
| Thesis type: | Master's Research Project 2 |
| Language: | English |
| Date Deposited: | 15 Jul 2022 14:17 |
| Last Modified: | 19 Jul 2022 07:08 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/27617 |
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