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Título:
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Fitting model-based psychometric functions to simultaneity and temporal-order judgment data: MATLAB and R routines
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Autores:
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Alcalá Quintana, Rocío ;
García Pérez, Miguel Ángel
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Tipo de documento:
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texto impreso
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Editorial:
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Springer, 2013-12
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/restrictedAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Informática: Bioinformática
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Materia = Ciencias Biomédicas: Psicología: Psicología experimental
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Tipo = Artículo
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Resumen:
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Research on temporal-order perception uses temporal-order judgment (TOJ) tasks or synchrony judgment (SJ) tasks in their binary SJ2 or ternary SJ3 variants. In all cases, two stimuli are presented with some temporal delay, and observers judge the order of presentation. Arbitrary psychometric functions are typically fitted to obtain performance measures such as sensitivity or the point of subjective simultaneity, but the parameters of these functions are uninterpretable. We describe routines in MATLAB and R that fit model-based functions whose parameters are interpretable in terms of the processes underlying temporal-order and simultaneity judgments and responses. These functions arise from an independent-channels model assuming arrival latencies with exponential distributions and a trichotomous decision space. Different routines fit data separately for SJ2, SJ3, and TOJ tasks, jointly for any two tasks, or also jointly for the three tasks (for common cases in which two or even the three tasks were used with the same stimuli and participants). Additional routines provide bootstrap p-values and confidence intervals for estimated parameters. A further routine is included that obtains performance measures from the fitted functions. An R package for Windows and source code of the MATLAB and R routines are available as Supplementary Files.
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En línea:
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https://eprints.ucm.es/35688/1/fitting%20model%20based%20%20%20Garc%C3%ADa-P%C3%A9rez%20y%20Alcal%C3%A1-Quintana.pdf
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