Comparing Cognitive Decision Models of Iowa Gambling Task in Indivituals Following Temporal Lobectomy
This study examined the theoretical basis for decision making behavior of patients with right or left temporal lobectomy and a control group when they participated in the Iowa Gambling Task. Two cognitive decision models, Expectancy Valence Model and Strategy Switching Heuristic Choice Model, were compared for best fit. The best fitting model was then chosen to provide the basis for parameter estimation (sources of decision making, i.e. cognitive, motivational, and response processes) and interpretation. Both models outperformed the baseline model. However comparison of G2 means between the two cognitive decision models showed the expectancy valence model having a higher mean and thus a better model between the two. Decision parameters were analyzed for the expectancy valence model. The analysis revealed that the parameters were not significant between the three groups. The data was simulated from the baseline model to determine whether the models are different from baseline.
Year of publication: |
2009-11-19
|
---|---|
Authors: | Jeyarajah, Jenny Vennukkah |
Publisher: |
GSU |
Subject: | Maximum likelihood estimation | Simulation | Expectancy valence model | Strategy switching heuristic choice | Temporal lobectomy | Iowa gambling task |
Saved in:
Saved in favorites
Similar items by subject
-
Hawkes-based models for high frequency financial data
Nyström, Kaj, (2022)
-
Shepherd, Benjamin, (2025)
-
Zero-variance importance sampling estimators for Markov process expectations
Awad, Hernan P., (2013)
- More ...