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dc.contributor.advisorEvans, Selby H.
dc.contributor.authorHuff, Edward Martinen_US
dc.date.accessioned2019-10-11T15:11:26Z
dc.date.available2019-10-11T15:11:26Z
dc.date.created1966en_US
dc.date.issued1966en_US
dc.identifieraleph-254863en_US
dc.identifier.urihttps://repository.tcu.edu/handle/116099117/34629
dc.description.abstractThe purpose of the present research was to assess the extent and character of both sequential interresponse time (IRT) dependencies and sequential interreinforcement time (ISrT) dependencies in a DRL-15 sec. schedule of reinforcement. A combined Markov and information analysis was used for this purpose. A major assumption of the analysis was that sequential dependencies could be adequately described by a member of the family of stationary, ergodic, Markov chains. In the analysis, IRTs (or ISrTs) were assigned to a small number of categories, and these categories were considered the "states" of the Markov chain. By computing the maximum likelihood estimates of transition probability matrices up to the second order, it was possible to explore the possibility that certain recognizable sequences of IRTs (or ISrTs) were present in the data. It was also possible to evaluate a number of suggestions made by previous researchers concerning the nature of timing sequences. The information measure of "redundancy" was used to assess the statistical association of these dependencies. Four female albino rats were run on the experimental schedule for 30 sessions. IRTs were automatically key-punched during training and were later analyzed on an IBM 1620 computer. Significant first order sequential IRT dependencies were found for all Ss when the data were dichotomized into reinforcement and non-reinforcement categories, and also when each of these categories was further subdivided into three equal-frequency-bands. The amount of statistical association in both cases, however, was lower than might be desired (generally less than 10%). On a few occasions significant second order dependencies were also found, but again they were accompanied by low statistical association. In general, most of the dependency in the response process was due to a high probability for reinforcements to follow one another, rather than to a tendency for patterns of more molecularly defined IRT categories to occur. The prediction, based on Sidman's (1956) data, that "bursts" would tend to follow long unreinforced IRTs was not substantiated. Some evidence was found, however, that unreinforced IRTs which follow unreinforced IR.Ts are shorter than those which follow reinforced IRTs. Hence, there was some evidence that the first unreinforced IRT which follows a sequence of reinforcements results from S "undershooting" the criterion value. Little evidence of sequential ISrT dependencies was found when a four category Markov analysis was used. ISrT histograms, however, revealed that relative modes develop close to multiples of the criterion value (15 sec.). This finding refutes earlier reports that no such relationship exists in DRL data.
dc.format.extentviii, 147 leaves, bound : illustrationsen_US
dc.format.mediumFormat: Printen_US
dc.language.isoengen_US
dc.relation.ispartofTexas Christian University dissertationen_US
dc.relation.ispartofAS38.H84en_US
dc.subject.lcshMarkov processesen_US
dc.titleMarkov analysis of response timing on a DRL scheduleen_US
dc.typeTexten_US
etd.degree.departmentDepartment of Psychology
etd.degree.levelDoctoral
local.collegeCollege of Science and Engineering
local.departmentPsychology
local.academicunitDepartment of Psychology
dc.type.genreDissertation
local.subjectareaPsychology
dc.identifier.callnumberMain Stacks: AS38 .H84 (Regular Loan)
dc.identifier.callnumberSpecial Collections: AS38 .H84 (Non-Circulating)
etd.degree.nameDoctor of Philosophy
etd.degree.grantorTexas Christian University


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