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Bayesian Models Of Sequential Dependencies In Binary And Multi-Interval Response Tasks, Jeffrey Scott Annis
Bayesian Models Of Sequential Dependencies In Binary And Multi-Interval Response Tasks, Jeffrey Scott Annis
USF Tampa Graduate Theses and Dissertations
A sequential dependency occurs when the response on the current trial is correlated with responses made on prior trials. Sequential dependencies have been observed in a variety of both perception and memory tasks. Thus, sequential dependencies provide a platform for relating these two cognitive processes. However, there are many issues associated with measuring sequential dependencies and therefore it is necessary to develop measurement models that directly address them. Here, several measurement models of sequential dependencies for both binary and multi-interval response tasks are described. The efficacy of the models is verified by applying them to simulated data sets with known …
A Model Of Positive Sequential Dependencies In Judgments Of Frequency, Jeffrey Scott Annis
A Model Of Positive Sequential Dependencies In Judgments Of Frequency, Jeffrey Scott Annis
USF Tampa Graduate Theses and Dissertations
Positive sequential dependencies occur when the response on the current trial n is positively correlated with the response on trial n-1. This was recently observed in a Judgment of Frequency (JOF) task (Malmberg and Annis, 2011). A model of positive sequential dependencies was developed in the REM framework (Shiffrin & Steyvers, 1997) by assuming that features that represent the current test item in a retrieval cue carry over from the previous retrieval cue. To assess the model, we sought a set of data that allows us to distinguish between frequency similarity and item similarity. Therefore, we chose to use a …