research-article

Generalized Linear Mixed Models for the Analysis of Categorical Data: A Case Study in Cognitive Psychology

Authors:

Huayun Li,

Laipeng Jin,

Dongchuan YuAuthors Info & Claims

ICMHI '18: Proceedings of the 2nd International Conference on Medical and Health Informatics

Pages 252 - 256

https://doi.org/10.1145/3239438.3239461

Published: 08 June 2018 Publication History

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Abstract

The forced-choice response in the experiment is very common in cognitive psychology. This study provided in informal introduction to a method (generalized linear mixed models) for analysis a case about categorical data in binocular vison. The results showed that the two important factors (vertical disparity gradient and cue conflict) in binocular vision has significant influence in depth perception. Moreover, the results also revealed that the two factors have a positive effect on double fusion, but a negative effect on no fusion or single fusion. Additionally, the subjects' random effects should be involved in the model to estimate probability. These findings systematically suggested the relationship between the two factors and different depth perceptions, which corroborated and extended the previous researches.

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Cited By

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Zhong SLalanne DAlavi HKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)The Complexity of Indoor Air Quality Forecasting and the Simplicity of Interacting with It – A Case Study of 1007 Office MeetingsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445524(1-19)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445524

Index Terms

Generalized Linear Mixed Models for the Analysis of Categorical Data: A Case Study in Cognitive Psychology
1. Mathematics of computing
  1. Mathematical analysis
    1. Mathematical optimization
      1. Mixed discrete-continuous optimization

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Published In

ICMHI '18: Proceedings of the 2nd International Conference on Medical and Health Informatics

June 2018

270 pages

ISBN:9781450363891

DOI:10.1145/3239438

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Graduate School of Library, Information, and Media Studies, University of Tsukuba, Japan: Graduate School of Library, Information, and Media Studies, University of Tsukuba, Japan

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 June 2018

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ICMHI '18

ICMHI '18: 2018 2nd International Conference on Medical and Health Informatics

June 8 - 10, 2018

Tsukuba, Japan

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Zhong SLalanne DAlavi HKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)The Complexity of Indoor Air Quality Forecasting and the Simplicity of Interacting with It – A Case Study of 1007 Office MeetingsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445524(1-19)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445524

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Recommendations

Perceptual Learning in Monocular Occlusions: Evidence from Panum's Limiting Case

Research on Emotional Design of Visual Interaction Based on Cognitive Psychology

Influence diagnostics for generalized linear mixed models: applications to clustered data