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Optimization of a Goal Maintenance Task for Use in Clinical Applications
Author(s) -
David Henderson,
Andrew Poppe,
Deanna M. Barch,
C. S. Carter,
James M. Gold,
J. Daniel Ragland,
Steven M. Silverstein,
Milton E. Strauss,
Angus W. MacDonald
Publication year - 2011
Publication title -
schizophrenia bulletin
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.823
H-Index - 190
eISSN - 1745-1707
pISSN - 0586-7614
DOI - 10.1093/schbul/sbr172
Subject(s) - context (archaeology) , interstimulus interval , task (project management) , interpretability , psychology , expectancy theory , reliability (semiconductor) , session (web analytics) , multilevel model , computer science , machine learning , social psychology , paleontology , power (physics) , physics , management , quantum mechanics , neuroscience , stimulation , world wide web , economics , biology
We sought to develop a Dot Pattern Expectancy task (DPX) to assess goal maintenance for use in clinical trials. Altering the standard task created 5 versions of the DPX to compare-a standard version and 4 others. Alterations in the interstimulus interval (ISI) length and the strength of a learned prepotent response distinguished the different tasks. These adjustments were designed to decrease administration time and/or improve reliability of the data.

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