A model-based analysis of the development of learning

Thesis

Cover

Title page

Contents

1 General Introduction

2 Markov Process Models for Discrimination Learning

3 Multiple Learning Modes in the Development of Perfor- mance on a Rule-Based Category-Learning Task

4 Development of Reversal Shift Learning: An Individual Dif- ferences Analysis

5 Working Memory and Attentional Control Related to Strategies in Discrimination Learning

6 Discrete Latent Markov Models for Normally Distributed Response Data

7 Parameter Identification in Multinomial Processing Tree Models

8 Discussion and Conclusion

Summary in Dutch (Samenvatting)

References

Acknowledgements