Graduation Year


Document Type




Degree Granting Department


Major Professor

Kenneth Malmberg, Ph.D.

Committee Member

Amy Criss, Ph.D.

Committee Member

Emanuel Donchin, Ph.D.

Committee Member

Chad Dubé, Ph.D.

Committee Member

Sudeep Sarkar, Ph.D.

Committee Member

Toru Shimizu, Ph.D.


measurement models, memory models, recognition memory, assimilation


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 properties. Lastly, the models are then applied to real-world data sets which test the critical assumption that the underlying processes of sequential dependencies are modulated by attention. The models reveal increased vigilance during testing decreases the degree of sequential dependencies.

Included in

Psychology Commons