- Latent class methods
- Longitudinal data analysis
- Analysis of preference data
- Categorical and ordered responses
- Microgenetic data
- Spatio-temporal models
Random effects |
A one day workshop by Don Hedeker, University of Illinois at Chicago, to be held on Thursday 11th November at the Postgraduate Statistics Centre, Lancaster University
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This research strand is concerned with changing attitudinal behaviour over time, and how best to model various types of data which might represent changing attitudes. For example, ordinal regression can be used for likert scale data, but how do we model banks of ordinal items at a single point in time, and also if the item responses are measured repeatedly? |
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Human development occurs because we gain new skills, we perfect ones that have served some purpose but then become more useful, and we lose other abilities that either become redundant or superseded. The study of how individual capabilities change and relate to other similarly developing skills is central to the discipline of developmental psychology. In this strand we are exploring a range of statistical approaches to the measurement of change that captures these processes and relationships. |
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