Psychology ETDs
Publication Date
12-9-1976
Abstract
A recent formulation has incorporated encoding variability in a stimulus-sampling framework. This conceptualization suggests that an active sample of "encoding operators" encodes each stimulus. On subsequent presentations of the stimulus each operator is checked for a tag/no tag representing the use of that operator in encoding the stimulus. These assumptions produce binomial distributions of noise and signal + noise underlying recognition performance. The present experiment tested the forms of the underlying distributions in the context change situation. Three amounts of context change between training and testing were investigated, with results indicating that recognition performance decreased as amount of context change increased. Most importantly, attempts to fit binomial distributions of noise and signal + noise to the recognition data were totally unsuccessful. The data were better fit by normal distributions, which suggests that attempts to specify globally the nature of encoding processes produces distributions of noise and signal + noise that do not allow inferences about the processes they represent.
Degree Name
Psychology
Level of Degree
Masters
Department Name
Psychology
First Committee Member (Chair)
Henry C. Ellis
Second Committee Member
Peder Johnson
Third Committee Member
Carol Conrad
Document Type
Thesis
Recommended Citation
Babbitt, Brian C.. "Stimulus-Sampling and Encoding Variability." (1976). https://digitalrepository.unm.edu/psy_etds/281