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Ordinal regression

About: Ordinal regression is a research topic. Over the lifetime, 1879 publications have been published within this topic receiving 65431 citations.


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Journal ArticleDOI
Willem Waegeman1
TL;DR: This note summarizes the main results presented in the author's Ph.D. thesis, which deals with preference learning, with emphasis on the ranking and ordinal regression machine learning settings and their connections to decision theory.
Abstract: This note summarizes the main results presented in the author’s Ph.D. thesis, supervised by Luc Boullart and Bernard De Baets. The thesis was defended on 14th October 2008 at Universiteit Gent. It is written in English and available for download at http://users.ugent.be/~wwaegemn/thesis.pdf. The work deals with preference learning, with emphasis on the ranking and ordinal regression machine learning settings and their connections to decision theory. Based on receiver operator characteristics analysis and graph theory, new performance measures are proposed to evaluate this type of models, and new algorithms are presented to compute and optimize these performance measures efficiently. Furthermore, the relationship with other settings like pairwise preference learning and multi-class classification is discussed.

10 citations

Journal ArticleDOI
TL;DR: In this paper, the potential impact of various aspects of supportive messages from parents/primary caregivers on the decision to stay in or drop out of high school was assessed, and the relationships between the number, valence, and helpfulness of the messages, as well as type of support and message framing with educational achievement were investigated.
Abstract: The purpose of this study is to assess the potential impact of various aspects of supportive messages from parents/primary caregivers on the decision to stay in or drop out of high school. Specifically, the relationships between the number, valence, and helpfulness of the messages, as well as type of support and message framing with educational achievement were investigated. Eighty respondents completed in-depth interviews about their experiences in high school. Ordinal regression was used to assess the relationships posited in the three research questions. Limitations and directions for future research are discussed.

10 citations

Journal ArticleDOI
TL;DR: Bryant et al. as discussed by the authors used logistic regression on a presence/absence index, collapsed from the ordinal response, discounted time of day and seasonal effects, and presented a binomial analysis of success rate based on three visits, which identified an additional habitat factor not identified in the original analysis.
Abstract: Bryant (1993) collected extensive data on the habitat preferences of the platypus (Ornithorhynchus anatinus) measured in 36 pools in the upper Macquarie River system. Platypus presence or absence in these pools was measured on three occasions. Detailed modelling of the factors affecting pool preference was complicated by the scale of response being ordinal due to the inability of the observer to distinguish between repeated sightings of the same animal and several different animals. Initial modelling using logistic regression on a presence/absence index, collapsed from the ordinal response, discounted time of day and seasonal effects. These temporal simplifications allowed a binomial analysis of success rate based on the three visits, which identified an additional habitat factor not identified in the original analysis. Finally, a full ordinal regression of the proportions falling into each ordered category is presented as the ultimate modelling of platypus pooI preferences. The analysis indicated that length and depth of pools and the presence of overhanging vegetation were positively related to the observed presence of platypuses.

10 citations

Journal ArticleDOI
TL;DR: In this paper, the authors focus on factors related to success in the sociology major at a mid-sized, public university and find a negative relationship between age and success in sociology majors at this institution.
Abstract: My focus in this exploratory study is on factors related to success in the sociology major. One hundred, fourteen graduating majors from a mid-sized, public university completed a self-administered questionnaire. Students reported that talking with others about the material as well as using application, real world examples, and review strategies are critical to their learning. In multiple regression analyses, there is limited evidence for a positive relationship between several interpersonal academic/study behavior variables and success. Multiple and ordinal regression analyses point to a negative relationship between age and success in the sociology major at this institution. Implications for teaching and learning in sociology and other disciplines are discussed.

10 citations

Journal ArticleDOI
TL;DR: Pollet and Nettle as mentioned in this paper used ordinal regression models to investigate the effect of indicators of male quality, height and income on self-reported female orgasm frequency, and concluded that the best-fitting model contained partner income as a predictor.

10 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023102
2022191
202188
202093
201979
201873