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Social and Behavioral Sciences Commons

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Full-Text Articles in Social and Behavioral Sciences

The Effects Of Replacing Dispersed Trash And Recycling Bins With Integrated Waste Receptacles On The Accuracy Of Waste Sorting In An Academic Building, Katherine J. Binder Dec 2012

The Effects Of Replacing Dispersed Trash And Recycling Bins With Integrated Waste Receptacles On The Accuracy Of Waste Sorting In An Academic Building, Katherine J. Binder

Masters Theses

Numerous researchers and theorists have attempted to explain the existence of the gap between the possession of environmental knowledge and awareness and the display of pro-environmental behavior (Glasser, 2007; Kollmuss & Agyeman, 2002). Behavior analysis is uniquely aligned to contribute to this discussion through its emphasis on the role of controlling variables in behavior change. A growing number of behavioral research studies address the challenges of group-contingencies in an effort to solve real-world gaps (Lehman & Geller, 2004). This study was designed as a continuation of the line of behavioral research designed to increase recycling rates and also as an …


Capacity Coefficient Variations, Joseph W. Houpt, Andrew Heathcote, Ami Eidels, Nathan Medeiros-Ward, Jason Watson, David Strayer Nov 2012

Capacity Coefficient Variations, Joseph W. Houpt, Andrew Heathcote, Ami Eidels, Nathan Medeiros-Ward, Jason Watson, David Strayer

Joseph W. Houpt

The capacity coefficient has become an increasingly popular measure of efficiency under changes in workload. It has been used in applications ranging from psychophysical detection tasks to complex cognitive tasks, as well as in addressing questions in social and clinical psychology. The basic formulation compares response times to each stimulus property (or task) in isolation to response times with all stimulus properties (or tasks) at the same time. A number of variations on the basic capacity coefficient have been used, both in the experimental design and in the calculations, and many more are possible. Here we outline the theoretical reasons …


General Recognition Theory Extended To Include Response Times: Predictions For A Class Of Parallel Systems, Joseph W. Houpt, James T. Townsend, Noah H. Silbert Nov 2012

General Recognition Theory Extended To Include Response Times: Predictions For A Class Of Parallel Systems, Joseph W. Houpt, James T. Townsend, Noah H. Silbert

Joseph W. Houpt

No abstract provided.


Bayesian Approaches To Assessing Architecture And Stopping Rule, Joseph W. Houpt, A. Heathcote, A. Eidels, J. T. Townsend Jul 2012

Bayesian Approaches To Assessing Architecture And Stopping Rule, Joseph W. Houpt, A. Heathcote, A. Eidels, J. T. Townsend

Joseph W. Houpt

Much of scientific psychology and cognitive science can be viewed as a search to understand the mechanisms and dynamics of perception, thought and action. Two processing attributes of particular interest to psychologists are the architecture, or temporal relationships between sub-processes of the system, and the stopping rule, which dictates how many of the sub-processes must be completed for the system to finish. The Survivor Interaction Contrast (SIC) is a powerful tool for assessing the architecture and stopping rule of a mental process model. Thus far, statistical analysis of the SIC has been limited to null-hypothesis- significance tests. In this talk …


Why Are People So Unkind? Unravelling Community Responses To Floodplain And Emergency Management (Powerpoint), Neil Dufty, Mel Taylor, Garry Stevens Jan 2012

Why Are People So Unkind? Unravelling Community Responses To Floodplain And Emergency Management (Powerpoint), Neil Dufty, Mel Taylor, Garry Stevens

Neil Dufty

No abstract provided.


General Recognition Theory Extended To Include Response Times: Predictions For A Class Of Parallel Systems, James T. Townsend, Joseph W. Houpt, Noah H. Silbert Jan 2012

General Recognition Theory Extended To Include Response Times: Predictions For A Class Of Parallel Systems, James T. Townsend, Joseph W. Houpt, Noah H. Silbert

Joseph W. Houpt

General Recognition Theory (GRT; Ashby & Townsend, 1986) is a multidimensional theory of classification. Originally developed to study various types of perceptual independence, it has also been widely employed in diverse cognitive venues, such as categorization. The initial theory and applications have been static, that is, lacking a time variable and focusing on patterns of responses, such as confusion matrices. Ashby proposed a parallel, dynamic stochastic version of GRT with application to perceptual independence based on discrete linear systems theory with imposed noise \citep{Ash89}. The current study again focuses on cognitive/perceptual independence within an identification classification paradigm. We extend stochastic …