Gender and Perception of Gender Role in Nigeria: Evidence From Wave 6 of the World Value Survey

Ifegbesan, Ayodeji Peter; Azeez, Razaq Olugbenga

doi:10.1177/00220574221110478

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…The response scale ranged from 1 (strongly agree) to 4 (strongly disagree). I chose this item as it has already been used to measure sexism in many studies (Arun et al, 2020;Cheraghi et al, 2019;Chon, 2015;Engin & Pals, 2018;Gu et al, 2022;Ifegbesan & Azeez, 2022;Kim & Kim, 2010;Rizzo et al, 2007). I then dichotomized the responses to represent sexist and non-sexist responses.…”

Section: Introductionmentioning

confidence: 99%

Machine learning and prejudice: building theory with algorithm-supported abduction

Degefe¹

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This dissertation examines the use of machine learning within management research. Specifically, it introduces a new approach to research known as algorithm-supported abduction and illustrates this process using two constructs relevant to the workplace: racism and sexism.Chapter 1 provides a practice-oriented review of the use of machine learning within management studies. It starts by discussing the limitations of conventional research methods and how they can be overcome using algorithm-supported abduction. It then introduces a new research method known as algorithm-supported abduction in which machine learning is used to assess empirical patterns within data, which are then used in combination with theory to create and test formal hypotheses. The chapter then discusses the basic aspects of machine learning that are shared across most machine learning approaches. This discussion includes an overview of the type of data used in machine learning analyses and the general forms of machine learning models used in management. The chapter then covers the basic process of building machine learning models and the metrics used to assess model performance. The chapter then proceeds with a more detailed examination of the popular machine learning approaches used in management, which include topic classifiers and topic modeling for analyzing text data, and decision tree and neural network models for analyzing numeric data. It then proceeds to illustrate how these models have been used in management research by providing an overview of the empirical research using machine learning in management.Chapter 2 illustrates the process of algorithm-supported abduction by examining the psychological predictors of racism. Racism in the workplace is one of the most pressing social issues facing businesses today. Most existing research on value-based antecedents of racism focuses on values related to conservatism, which are difficult to change. In this project, I sought

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Section: Introductionmentioning

confidence: 99%

Machine learning and prejudice: building theory with algorithm-supported abduction

Degefe¹

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Learning Strategies in Mathematics for Related Study Programs Focusing on Cooperative Education in Germany – Viewed from the Perspectives of the Academic Disciplines, Economics and Engineering, as well as Gender

Wild,

Neef

2024

Int J of Sci and Math Educ

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Cognitive learning strategies are seen as a central element for successful learning. Acquiring knowledge about its worth, can support persons in sophisticated groups in attaining academic success. Consequently, the authors are interested in domain-specific learning strategies for mathematics in the academic disciplines of economics and engineering in cooperative tertiary education, in addition to determining gender-specific preferences for particular learning strategies. Data from a cross-sectional design with N = 565 cooperative students from Germany are used. A 2 × 2 analysis of variance, with one repeated measure, show the impact of academic disciplines and gender on seven specific cognitive learning strategies in mathematics. Taken together, these results show the complexity of cognitive learning strategies in higher education learning.

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Examining the effect of gender, education and religion on attitudes toward gender equality in Nigeria

Tuki

2024

Politics, Groups, and Identities

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Gender and Perception of Gender Role in Nigeria: Evidence From Wave 6 of the World Value Survey

Cited by 3 publications

References 32 publications

Machine learning and prejudice: building theory with algorithm-supported abduction

Machine learning and prejudice: building theory with algorithm-supported abduction

Learning Strategies in Mathematics for Related Study Programs Focusing on Cooperative Education in Germany – Viewed from the Perspectives of the Academic Disciplines, Economics and Engineering, as well as Gender

Examining the effect of gender, education and religion on attitudes toward gender equality in Nigeria

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