On how to test threshold models of detection without making assumptions about the response rule | Zendy

Dusoir A. E. | Zendy

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On how to test threshold models of detection without making assumptions about the response rule

Author(s) -

Dusoir A. E.

Publication year - 1980

Publication title -

british journal of mathematical and statistical psychology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.157

H-Index - 51

eISSN - 2044-8317

pISSN - 0007-1102

DOI - 10.1111/j.2044-8317.1980.tb00775.x

Subject(s) - a priori and a posteriori , probabilistic logic , task (project management) , threshold model , noise (video) , detection threshold , argument (complex analysis) , mathematics , detection theory , signal (programming language) , computer science , test (biology) , statistics , algorithm , econometrics , artificial intelligence , telecommunications , paleontology , philosophy , biochemistry , chemistry , management , epistemology , real time computing , detector , economics , image (mathematics) , biology , programming language

Threshold models assume J discrete sensory states, which are related to responses by a probabilistic response rule. The paper discusses how we can refute threshold models with J small without imposing a priori constraints on the response rule. An argument due to Krantz is extended and applied to a sinusoid‐in‐noise detection task with randomly varying signal strengths. When five subjects are tested in this task, it is shown that J needs to be at least 3 for four subjects and at least 4 for one.

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