title: A MATLAB toolbox for the efficient estimation of the psychometric function using the updated maximum-likelihood adaptive procedure.
abstract: A MATLAB toolbox for the efficient estimation of the threshold, slope, and lapse rate of the psychometric function is described. The toolbox enables the efficient implementation of the updated maximum-likelihood (UML) procedure. The toolbox uses an object-oriented architecture for organizing the experimental variables and computational algorithms, which provides experimenters with flexibility in experimental design and data management. Descriptions of the UML procedure and the UML Toolbox are provided, followed by toolbox use examples. Finally, guidelines and recommendations of parameter configurations are given.
authors.affiliation: Department of Cognitive Sciences, University of California, 3151 Social Sciences Plaza, Irvine, CA, 92697-5100, USA, shen.yi@uci.edu.
authors.forename: Yi
authors.initials: Y
authors.lastname: Shen
authors.forename: Wei
authors.initials: W
authors.lastname: Dai
authors.forename: Virginia M
authors.initials: VM
authors.lastname: Richards
mesh_terms: D000465:Algorithms; D035841:Behavioral Research / Q000295:instrumentation / Q000379:methods; D001330:Electronic Data Processing / Q000379:methods*; D006801:Humans; D011594:Psychometrics / Q000295:instrumentation / Q000379:methods; D012107:Research Design