Generalized linear mixed modeling of signal detection theory. (Book, 2018) [WorldCat.org]
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Generalized linear mixed modeling of signal detection theory.
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Generalized linear mixed modeling of signal detection theory.

Author: Maximilian Michael Rabe
Publisher: [Victoria, British Columbia] : University of Victoria 2018
Dissertation: Master of Science M.Sc. University of Victoria 2018.
Edition/Format:   Thesis/dissertation : Document : Thesis/dissertation : eBook   Computer File : English
Summary:
Signal Detection Theory (SDT; Green & Swets, 1966) is a well-established technique to analyze accuracy data in a number of experimental paradigms in psychology, most notably memory and perception, by separating a response bias/criterion from the theoretically bias-free discriminability/sensitivity. As SDT has traditionally been applied, the researcher may be confronted with loss in statistical power and erroneous  Read more...
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Genre/Form: dissertations
masters theses
doctoral dissertations
theses
Academic theses
Thèses et écrits académiques
Material Type: Document, Thesis/dissertation, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Maximilian Michael Rabe
OCLC Number: 1199658941
Notes: Graduate.
Description: 1 online resource

Abstract:

Signal Detection Theory (SDT; Green & Swets, 1966) is a well-established technique to analyze accuracy data in a number of experimental paradigms in psychology, most notably memory and perception, by separating a response bias/criterion from the theoretically bias-free discriminability/sensitivity. As SDT has traditionally been applied, the researcher may be confronted with loss in statistical power and erroneous inferences. A generalized linear mixed-effects modeling (GLMM) approach is presented and advantages with regard to power and precision are demonstrated with an example analysis. Using this approach, a correlation of response bias and sensitivity was detected in the dataset, especially prevalent at the item level, though a correlation between these measures is usually not found to be reported in the memory literature. Directions for future extensions of the method as well as a brief discussion of the correlation between response bias and sensitivity are enclosed.

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