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Methods in Psychophysics

Wichmann, F. A. ; Jäkel, F. (2018)
Methods in Psychophysics.
In: Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience / ed. by J.T. Wixted ; E.J. Wagenmakers
Buchkapitel, Bibliographie

Kurzbeschreibung (Abstract)

Typically researchers in psychology are interested in substantive issues about the mind — how we see, hear, categorize or reason about the world. To answer the multitude of yet unanswered substantive questions about the mind one typically conducts experiments to collect data, analyses the data obtained, and then interprets them in the context of current theories and models. Here we look at some of the aspects of the first two steps, the collection and analysis of behavioral data from psychophysical experiments. We will concentrate on the various experimental designs for experiments of the threshold or just-noticeable difference (JND) type. Subsequent to data acquistion, we suggest to use Bayesian inference to estimate the psychometric function of a beta-binomial model as the default data analysis if there is a single independent variable. For multidimensional data and exploratory data analyses we briefly introduce multidimensional psychometric function estimation techniques making use of regularisation techniques from machine learning. We conclude our chapter with a discussion of the timeliness of the two commandments of psychophysics: "Know thy stimulus" by Wilson Geisler and "Thou shalt not be lazy (when gathering data)" we attribute to Karl Dallenbach.

Typ des Eintrags: Buchkapitel
Erschienen: 2018
Autor(en): Wichmann, F. A. ; Jäkel, F.
Art des Eintrags: Bibliographie
Titel: Methods in Psychophysics
Sprache: Englisch
Publikationsjahr: 2018
Buchtitel: Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience / ed. by J.T. Wixted ; E.J. Wagenmakers
URL / URN: https://www.wiley.com/en-us/Stevens%27+Handbook+of+Experimen...
Kurzbeschreibung (Abstract):

Typically researchers in psychology are interested in substantive issues about the mind — how we see, hear, categorize or reason about the world. To answer the multitude of yet unanswered substantive questions about the mind one typically conducts experiments to collect data, analyses the data obtained, and then interprets them in the context of current theories and models. Here we look at some of the aspects of the first two steps, the collection and analysis of behavioral data from psychophysical experiments. We will concentrate on the various experimental designs for experiments of the threshold or just-noticeable difference (JND) type. Subsequent to data acquistion, we suggest to use Bayesian inference to estimate the psychometric function of a beta-binomial model as the default data analysis if there is a single independent variable. For multidimensional data and exploratory data analyses we briefly introduce multidimensional psychometric function estimation techniques making use of regularisation techniques from machine learning. We conclude our chapter with a discussion of the timeliness of the two commandments of psychophysics: "Know thy stimulus" by Wilson Geisler and "Thou shalt not be lazy (when gathering data)" we attribute to Karl Dallenbach.

Fachbereich(e)/-gebiet(e): 03 Fachbereich Humanwissenschaften
03 Fachbereich Humanwissenschaften > Institut für Psychologie
03 Fachbereich Humanwissenschaften > Institut für Psychologie > Modelle höherer Kognition
Zentrale Einrichtungen
Zentrale Einrichtungen > Centre for Cognitive Science (CCS)
Hinterlegungsdatum: 09 Jul 2018 09:30
Letzte Änderung: 12 Okt 2020 08:48
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