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Journal articles on the topic 'Gender analysis'

To see the other types of publications on this topic, follow the link: Gender analysis.

Author: Grafiati

Published: 4 June 2021

Last updated: 5 March 2023

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1

Qiaozhen, Liao. "Critical Analysis on Gender Discrimination in Advertising." Scholars Journal of Arts, Humanities and Social Sciences 4, no. 7 (July 2016): 836–38. http://dx.doi.org/10.21276/sjahss.2016.4.7.13.

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2

Kaushik, A. "Gender-sensitive analysis." British Dental Journal 233, no. 2 (July 22, 2022): 69. http://dx.doi.org/10.1038/s41415-022-4510-5.

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3

Sölpük Turhan, Nihan. "Gender Differences in Academic Motivation: A Meta-Analysis." International Journal of Psychology and Educational Studies 7, no. 2 (May 2, 2020): 211–24. http://dx.doi.org/10.17220/ijpes.2020.02.018.

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4

Sölpük Turhan, Nihan. "Gender Differences in Academic Motivation: A Meta-Analysis." International Journal of Psychology and Educational Studies 7, no. 2 (May 2, 2020): 211–24. http://dx.doi.org/10.17220/ijpes.2020.02.019.

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5

Chan, Sumie. "Gender and Literature – Is Gender Gendered? Female Protagonists in Macbeth (1606), Thelma and Louise (1991) and A Doll’s House (1879) – Three Different Genres of Literature across Centuries." International Journal of Languages, Literature and Linguistics 7, no. 4 (December 2021): 189–92. http://dx.doi.org/10.18178/ijlll.2021.7.4.310.

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This paper examines how men and women have been conventionally portrayed in gender stereotypes in various genres among different cultures through centuries in world literature, with reference to the classical Shakespearean play Macbeth (1606) by the British playwright William Shakespeare, the Hollywood road movie Thelma and Louise (1991) directed by Ridley Scott and A Doll’s House (1879) written by the Norwegian dramatist Henrik Ibsen. The research will explore the common themes embodied by the notion of gender almost in all literature work in the world which include patriarchy and order, masculinity and femininity, fabrication of identities, and binary opposition with the close textual analysis of the process of self-discovery and empowerment by the female protagonists, Lady Macbeth in Macbeth, Thelma and Louise in Thelma and Louise and Nora in A Doll’s House through the eyes of the male authors, namely playwrights and film director. By comparing the fates of aforementioned female protagonists in the three endings, the actual autonomy that women can take the lead in their life or act outside the normalized gender binaries is further studied. With the analysis of the literary devices and the depiction of the female characters’ psychological change with the visualization of symbols and attires in the texts, the relationship between form and content is also investigated. There is also the discourse analysis on the use of gendered language through soliloquies and dialogues, implication of gender roles in society and culture and the consequences of these females in transcending the gendered roles.

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6

Clisby, Suzanne. "Gender Games: Practical Tools for Gender Analysis." Studies on Home and Community Science 11, no. 2 (January 8, 2018): 57–65. http://dx.doi.org/10.1080/09737189.2017.1420382.

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7

Mushtaq, Toyeba, and Dr Aaliya Ahmed. "Third Gender Portrayal in Bollywood: An Analysis of Sadak." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 17–22. http://dx.doi.org/10.31142/ijtsrd21636.

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8

Apsari, Lalitia. "Attitude Analysis Surrounding Gender-Related Words in Lelaki Harimau." International Journal of Languages, Literature and Linguistics 3, no. 3 (September 2017): 103–9. http://dx.doi.org/10.18178/ijlll.2017.3.3.118.

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9

Little, J. K., Vivian Kinnaird, and Derek Hall. "Tourism: A Gender Analysis." Economic Geography 72, no. 1 (January 1996): 103. http://dx.doi.org/10.2307/144513.

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Brent, Maryann. "Tourism: A gender analysis." Annals of Tourism Research 23, no. 1 (January 1996): 233–35. http://dx.doi.org/10.1016/s0160-7383(96)90119-x.

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11

Shackley, Myra. "Tourism: A gender analysis." Tourism Management 16, no. 3 (May 1995): 248–49. http://dx.doi.org/10.1016/0261-5177(95)90023-3.

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12

Lakhiani, Chrisovalantis, and Michael T. Somenek. "Gender-related Facial Analysis." Facial Plastic Surgery Clinics of North America 27, no. 2 (May 2019): 171–77. http://dx.doi.org/10.1016/j.fsc.2019.01.006.

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13

SHIACH, MORAG. "‘Gender’ and cultural analysis." Paragraph 17, no. 1 (March 1994): 27–37. http://dx.doi.org/10.3366/para.1994.17.1.27.

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14

Kumar, Anant. "Complementing Gender Analysis Methods." Journal of Evidence-Informed Social Work 13, no. 1 (May 5, 2015): 99–110. http://dx.doi.org/10.1080/15433714.2014.997097.

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15

Khumo Maswabi, Oitshupile. "Risk Analysis and Countermeasures of Gender-Based Violence in Botswana." INTERNATIONAL JOURNAL OF INNOVATION AND ECONOMIC DEVELOPMENT 4, no. 1 (2018): 60–64. http://dx.doi.org/10.18775/ijied.1849-7551-7020.2015.41.2006.

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One of the most prevalent human rights violations in the world is Gender-based violence. It knows no economic, national or social boundaries. Over 67% of women in Botswana have experienced abuse, which is more than double the global average. This research on gender-based violence in Botswana focuses on the cycle of violence within abusive relationships, why victims stay in abusive relationships, and what can be done to make them leave abusive relationships, how much they know about the effects of gender-based violence, as well as the coping mechanisms of gender-based violence. Gender-based violence occurs in many ways, and it seems to be more prevalent among married couples especially where the wife is not working, and the husband is the only breadwinner in the household. This research had been carried out in Botswana. A face-to-face interview had been conducted in Botswana randomly to see if people of Botswana are aware of this disturbing phenomenon. A visit to Kagisano Women’s shelter had been undertaken, to get first-hand information because it is where abused women are given shelter. The results of the research will assist in identifying support and resources that can be put in place to combat gender-based violence in Botswana.

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16

Tsymbaliuk, Svitlana, and Anna Volkovska. "Analysis of institutional factors that cause gender pay gaps in Ukraine." Social and labour relations: theory and practice 11, no. 1 (July 27, 2021): 1–13. http://dx.doi.org/10.21511/slrtp.11(1).2021.01.

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Despite Ukraine’s commitments regarding non-discrimination and ensuring gender equality, the issue of gender pay gaps remains relevant. The aim of the study is to identify factors that cause gender pay gaps and assess their impact on wage differences at the institutional level in Ukraine. Based on the generalization of the research results, macroeconomic and microeconomic approaches to the grouping of factors that cause gender pay gaps have been identified. Based on the analysis of statistical data, it has been determined that gender occupational segregation exists in Ukraine, as most women work in low-wage economic activities; women are more likely to lead businesses with a lower level of wages. As the result of the assessment of the impact of various factors on wage differences, it has been found that gender pay gaps are the smallest in the public sector. Part-time employment in 2018 affected gender pay gaps by 3.8%. Based on the correlation factor analysis, the positive impact of increasing the minimum wage and innovative development on reducing gender pay gaps has been substantiated. The hypothesis regarding the impact of collective bargaining on gender pay gaps at the organizational level has been refuted. Promising measures have been identified that would help to create equal opportunities and reduce gender pay gaps, and thus to fulfill Ukraine’s commitments in the context of European integration.

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17

Hearn, Jeff. "Gender, Work and Organization : A gender–work–organization analysis." Gender, Work & Organization 26, no. 1 (January 2019): 31–39. http://dx.doi.org/10.1111/gwao.12331.

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18

Tchupo, Dominique Engome, and Gretchen A. Macht. "Analysis of Team Member Evaluations Based on Gender." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (September 2022): 256–60. http://dx.doi.org/10.1177/1071181322661149.

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Using data collected from multiple teams of undergraduate engineering students, this study examines whether team members evaluate members of different perceived genders differently than they would a member of their own perceived gender. This was done using social relations modeling to analyze the dyadic differences within the teams over the course of several years. This research found that despite what was expected, gender only played a minor role in how different team members rated each other as time progressed. This lack of significance of gender in the model could be attributed to the high proportion of women in this major as well as how the teams were formed.

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19

Thelwall, Mike. "Gender bias in machine learning for sentiment analysis." Online Information Review 42, no. 3 (June 11, 2018): 343–54. http://dx.doi.org/10.1108/oir-05-2017-0153.

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Purpose The purpose of this paper is to investigate whether machine learning induces gender biases in the sense of results that are more accurate for male authors or for female authors. It also investigates whether training separate male and female variants could improve the accuracy of machine learning for sentiment analysis. Design/methodology/approach This paper uses ratings-balanced sets of reviews of restaurants and hotels (3 sets) to train algorithms with and without gender selection. Findings Accuracy is higher on female-authored reviews than on male-authored reviews for all data sets, so applications of sentiment analysis using mixed gender data sets will over represent the opinions of women. Training on same gender data improves performance less than having additional data from both genders. Practical implications End users of sentiment analysis should be aware that its small gender biases can affect the conclusions drawn from it and apply correction factors when necessary. Users of systems that incorporate sentiment analysis should be aware that performance will vary by author gender. Developers do not need to create gender-specific algorithms unless they have more training data than their system can cope with. Originality/value This is the first demonstration of gender bias in machine learning sentiment analysis.

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20

SCHAFFER, Axel. "Gender-Specific Input-Output Analysis." Interdisciplinary Information Sciences 14, no. 1 (2008): 61–68. http://dx.doi.org/10.4036/iis.2008.61.

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21

Tabakin, Geoffrey, and Kathleen Densmore. "Teacher Professionalization and Gender Analysis." Teachers College Record: The Voice of Scholarship in Education 88, no. 2 (December 1986): 257–79. http://dx.doi.org/10.1177/016146818608800206.

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22

Im, Hyesuk. "Concept Analysis of Gender Sensitivity." Journal of Humanities and Social sciences 21 12, no. 5 (October 31, 2021): 505–18. http://dx.doi.org/10.22143/hss21.12.5.36.

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23

Nazifa, Nur Adlin, Chong Yen Fook, Lim Chee Chin, Vikneswaran Vijean, and Eng Swee Kheng. "Gender Prediction by Speech Analysis." Journal of Physics: Conference Series 1372 (November 2019): 012011. http://dx.doi.org/10.1088/1742-6596/1372/1/012011.

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24

Schiebinger, Londa. "MAINSTREAMING GENDER ANALYSIS INTO SCIENCE." Journal of Women and Minorities in Science and Engineering 8, no. 3-4 (2002): 14. http://dx.doi.org/10.1615/jwomenminorscieneng.v8.i3-4.90.

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25

Robinson-Pant, Anna. "Practising gender analysis in education." International Journal of Educational Development 24, no. 6 (November 2004): 765–66. http://dx.doi.org/10.1016/j.ijedudev.2004.06.006.

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26

Krekhovets, Ekaterina, and Ludmila Leonova. "University graduates employability: gender analysis." Woman in Russian Society, no. 3 (September 25, 2017): 58–69. http://dx.doi.org/10.21064/winrs.2017.3.5.

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27

Thelwall, Mike. "Gender bias in sentiment analysis." Online Information Review 42, no. 1 (February 12, 2018): 45–57. http://dx.doi.org/10.1108/oir-05-2017-0139.

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Purpose The purpose of this paper is to test if there are biases in lexical sentiment analysis accuracy between reviews authored by males and females. Design/methodology/approach This paper uses data sets of TripAdvisor reviews of hotels and restaurants in the UK written by UK residents to contrast the accuracy of lexical sentiment analysis for males and females. Findings Male sentiment is harder to detect because it is less explicit. There was no evidence that this problem could be solved by gender-specific lexical sentiment analysis. Research limitations/implications Only one lexical sentiment analysis algorithm was used. Practical implications Care should be taken when drawing conclusions about gender differences from automatic sentiment analysis results. When comparing opinions for product aspects that appeal differently to men and women, female sentiments are likely to be overrepresented, biasing the results. Originality/value This is the first evidence that lexical sentiment analysis is less able to detect the opinions of one gender than another.

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28

Azizah, Dinda Noor. "Hedges Function in Masculine and Feminine Feature’s Language: A Pragmatics Analysis." Journal of Pragmatics Research 3, no. 1 (April 1, 2021): 59–69. http://dx.doi.org/10.18326/jopr.v3i1.59-69.

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The purpose of this study is to criticize the gender language features proposed by Coates (2013) proposed in Lakoff's theory (1975) by investigating speeches expressed by two different genders in interviews. The method used in this research is the descriptive qualitative method. Data were analyzed based on the theory of Coates (2013) to find language features based on gender and use the taxonomy of the hedging strategy proposed by Martin-Martin (2008). The results of the research show that male-female language features can be used by the opposite gender by looking at the perspective of the use of hedges and strategies in the concept of speech expressed by gender (male, female).Keywords: feature language; gender; hedges; hedging

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29

STOKOE, ELIZABETH H., and JANET SMITHSON. "Making Gender Relevant: Conversation Analysis and Gender Categories in Interaction." Discourse & Society 12, no. 2 (March 2001): 217–44. http://dx.doi.org/10.1177/0957926501012002005.

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30

., Chandrakala. "EMERGENCE OF GENDER IDENTITY AND GENDER ROLES: A THEORETICAL ANALYSIS." SCHOLARLY RESEARCH JOURNAL FOR HUMANITY SCIENCE AND ENGLISH LANGUAGE 10, no. 53 (September 1, 2022): 13457–63. http://dx.doi.org/10.21922/srjhsel.v10i53.11647.

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The aim of this study is to identity of gender and its role in the society. Relationships between groups of women and men. An individual's concept of them, or gender identity. In this way the investigator identifies Gender socialization occurs through four major agents, family, education, peer groups, and mass media. Each agent reinforces gender roles by creating and maintaining normative expectations for gender-specific behaviour. Exposure also occurs through secondary agents, such as religion and the workplace.

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31

Nunoo, F. N. K., D. P. Mensah, E. Adu Boahen, and I. E. N. Nunoo. "Analysis of gender representation in basic level English textbooks in Ghana." Journal of Science and Technology (Ghana) 37, no. 2 (June 24, 2019): 98–109. http://dx.doi.org/10.4314/just.v37i2.8.

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Textbooks are known to influence the behaviours and worldview of children. Apart from imparting critical knowledge to pupils, textbooks also encourage pupils to form certain perceptions and stereotypes, including the ‘appropriate’ gender-specific roles in society. This paper examined gender stereotypes in the content and design of the Pupil’s English textbook at the Basic Level in Ghana using content analysis. The study revealed that, as teaching materials, the English Pupil’s Books 1, 2 and 3 displayed gross gender bias that reinforces the stereotypical roles of males and females in Ghanaian society. This does not reflect the development of society towards equality between men and women since there was no equality in how both genders are represented in the textbooks.Keywords: Gender; stereotype; gender stereotype; textbooks

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32

Stowers, Deborah A., and Mark W. Durm. "Does Self-Concept Depend on Body Image? a Gender Analysis." Psychological Reports 78, no. 2 (April 1996): 643–46. http://dx.doi.org/10.2466/pr0.1996.78.2.643.

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The purpose of this study was twofold, to estimate positive correlations between scores on the Tennessee Self-concept Scale for body image and self-concept within each gender and to assess differences between genders on measures of these two concepts, thereby testing the hypothesis that women have a more diminished body image than men. The study included 36 subjects, 18 male and 18 female. Within each gender were significant and positive correlations between measures of body image and self-concept. Between the genders, there was no significant difference in scores on self-concept but there was a difference in ratings of body image, with women being significantly less satisfied.

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Saadé, Raafat George, Dennis Kira, and Camille Alexandre Otrakji. "Gender Differences in Interface Type Task Analysis." International Journal of Information Systems and Social Change 3, no. 2 (April 2012): 1–23. http://dx.doi.org/10.4018/jissc.2012040101.

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The three pillars of usability are efficiency, effectiveness and satisfaction. Today’s human-computer interface (HCI), used in cellular phone, software, Internet, personal digital assistants and others should be designed to meet these three pillars. This research investigates the influence of two different interfaces on usability as they relate to gender. An experiment was conducted such that objective data were first captured while participants were performing specific image editing tasks, followed by a subjective evaluation of the participants’ experience. The independent variables were gender and the interface. The dependent variables were task completion time, perceived ease of use and perceived usefulness. Results suggest that males outperform females in new tasks while using a menu driven interface and both new and common tasks while using an icon based interface. Both genders seem to take longer time to complete the same task (for both common and new) using an icon based interface. It was also found that there was general agreement among gender and interface type on the level of perceived ease of use and perceived usefulness of the image editing software used. Important differences in the distribution characteristics were noted. Implications for researchers and software developers are discussed.

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Abdilkadimovna, Komilova Nilufar. "Comparative And Linguocultural Analysis Of The Concept Gender In Uzbek And English Languages." American Journal of Social Science and Education Innovations 03, no. 06 (June 20, 2021): 112–17. http://dx.doi.org/10.37547/tajssei/volume03issue06-19.

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The article under discussion reveals the issues of comparative and linguocultural analysis of the concept “gender” in Uzbek and English languages. The present study presents gender as a concept of linguistic culture and describes it as the basis that forms gender stereotypes on the material of phraseological units of English and Uzbek languages. The author of the article considers that gender is not a linguistic category, but its content can be revealed through the analysis of language structures, which explains the need for a linguistic study of the cultural representation of gender.

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35

Alsagoff, Syed Redzuan, Asan Ali Golam Hassan, and Wan Suhaimi Wan Abdullah. "The Concept of Gender and Its Acceptability as a Category of Analysis in Economics: An Islamic Perspective." Jurnal Akidah & Pemikiran Islam 23, no. 1 (December 30, 2021): 167–96. http://dx.doi.org/10.22452/afkar.vol23no1.5.

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Changes in the understanding of gender are making it complicated to use gender as a category of analysis. Previously, it was generally accepted that gender is a binary category, comprising of male and female, based on clear biological distinction. Then came the idea that gender is a sociocultural construct. More recently, gender is said to be based on each person’s personal conception of himself or herself. These novel ideas have detached the meaning of gender from its biological foundation and have consequently made the concept of gender ambiguous and subjective, with theoretically infinite possible interpretations that can formulate an indeterminate number of genders. Such arbitrariness is unsuitable for scientific analysis. Accordingly, mainstream economists, in their aspiration to be scientific, have largely ignored these semantic developments and have continued to use the biologically defined binary categorisation of gender, presumably because of its practicality when used in economic analysis. From an Islamic perspective, economists are right to use such definition of gender, not because it is practical to do so, but because it conforms to reality and truth (ḥaqq) as revealed by religion. This article discusses these ideas as well as their history and interactions to show that from an Islamic perspective the number of genders is not indeterminate, nor is gender only practically binary, but it is really and truly binary in line with the worldview of Islam.

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36

Kafabih, Abdullah, and Mohamad Ridwan. "Wage Gap Analysis Between Gender in The Informal Sector During Covid-19." Jurnal Ilmu Ekonomi Terapan 7, no. 2 (December 1, 2022): 251–60. http://dx.doi.org/10.20473/jiet.v7i2.40536.

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The level of wages received by workers in the informal sector tends to be lower than workers in the formal sector. This condition can be exacerbated if there is gender discrimination, which causes differences in the distribution of wages for workers. This study aims to identify wage discrimination between genders of informal sector workers. The independent variables of this study consisted of education, age, training, incentives, gender, and type of work. Gender wage ratio and gender productivity ratio were estimated simultaneously using non-linear logistic regression method. This study found evidence of wage discrimination against women in the informal sector. Education and training contribute positively to equal pay between women and men

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37

Morgan, Rosemary, Asha George, Sarah Ssali, Kate Hawkins, Sassy Molyneux, and Sally Theobald. "How to do (or not to do)… gender analysis in health systems research." Health Policy and Planning 31, no. 8 (April 26, 2016): 1069–78. http://dx.doi.org/10.1093/heapol/czw037.

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Abstract Gender—the socially constructed roles, behaviours, activities and attributes that a given society considers appropriate for males, females and other genders—affects how people live, work and relate to each other at all levels, including in relation to the health system. Health systems research (HSR) aims to inform more strategic, effective and equitable health systems interventions, programs and policies; and the inclusion of gender analysis into HSR is a core part of that endeavour. We outline what gender analysis is and how gender analysis can be incorporated into HSR content, process and outcomes. Starting with HSR content, i.e. the substantive focus of HSR, we recommend exploring whether and how gender power relations affect females and males in health systems through the use of sex disaggregated data, gender frameworks and questions. Sex disaggregation flags female–male differences or similarities that warrant further analysis; and further analysis is guided by gender frameworks and questions to understand how gender power relations are constituted and negotiated in health systems. Critical aspects of understanding gender power relations include examining who has what (access to resources); who does what (the division of labour and everyday practices); how values are defined (social norms) and who decides (rules and decision-making). Secondly, we examine gender in HSR process by reflecting on how the research process itself is imbued with power relations. We focus on data collection and analysis by reviewing who participates as respondents; when data is collected and where; who is present; who collects data and who analyses data. Thirdly, we consider gender and HSR outcomes by considering who is empowered and disempowered as a result of HSR, including the extent to which HSR outcomes progressively transform gender power relations in health systems, or at least do not further exacerbate them.

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38

Harris, Eric, Susan Lea, and Don Foster. "The Construction of Gender: An Analysis of Men's Talk on Gender." South African Journal of Psychology 25, no. 3 (September 1995): 175–83. http://dx.doi.org/10.1177/008124639502500306.

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The construction of gender and gender interactions is examined through the discourse of men's only groups. Two discourses are identified: Gender as Social Norm and Gender as Natural. These discourse can be seen, through rhetorical strategies, to construct gender in ways that are problematic for women. Of particular concern is the finding that the discourses and explanations used to construct gender generally are the same as those used to explain, and justify, gender aggression. This finding and some of it's implications are discussed.

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39

Weatherall, Ann. "Book Review: Talking Gender and Sexuality; Gender Identity and Discourse Analysis." Discourse & Society 17, no. 3 (May 2006): 419–21. http://dx.doi.org/10.1177/095792650601700308.

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40

Meiser, Bruno, Andres Beiras-Fernandez, Sonja Guethoff, Peter Überfuhr, Martin Angele, Ute Seeland, Christian Hagl, Bruno Reichart, Sandra Eifert, and Ingo Kaczmarek. "Gender Does Matter: Gender-Specific Outcome Analysis of 67,855 Heart Transplants." Thoracic and Cardiovascular Surgeon 61, no. 01 (December 20, 2012): 029–36. http://dx.doi.org/10.1055/s-0032-1331467.

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41

Clancy, Joy, Fareeha Ummar, Indira Shakya, and Govind Kelkar. "Appropriate gender-analysis tools for unpacking the gender-energy-poverty nexus." Gender & Development 15, no. 2 (July 2007): 241–57. http://dx.doi.org/10.1080/13552070701391102.

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42

Ng, Eve Chuen. "Talking Gender and Sexuality, and: Gender Identity and Discourse Analysis (review)." Language 80, no. 2 (2004): 352–53. http://dx.doi.org/10.1353/lan.2004.0093.

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43

Wallis, Cara. "Performing Gender: A Content Analysis of Gender Display in Music Videos." Sex Roles 64, no. 3-4 (July 18, 2010): 160–72. http://dx.doi.org/10.1007/s11199-010-9814-2.

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44

Lesnikov, Phyllis, Nadja C. Kunz, and Leila M. Harris. "Gender and sustainability reporting – Critical analysis of gender approaches in mining." Resources Policy 81 (March 2023): 103273. http://dx.doi.org/10.1016/j.resourpol.2022.103273.

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45

Najamudin, Najamudin. "Analisis Gender dalam Hukum Islam." TASAMUH: Jurnal Studi Islam 11, no. 2 (September 2, 2019): 381–401. http://dx.doi.org/10.47945/tasamuh.v11i2.168.

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This article tends to discuss about gender analysis and its application in Islamic jurisprudence. This method of analysis emerged due to the change in social structure that formed the pattern of social relations nowadays that are totally different from the traditional social relation. In accordance to this, there are also the emergence of gender discriminations in Muslims’ societies nowadays. Among the criteria that are being utilised in this type of analysis such as the differentiation between the concept of sex and gender, the identification of the existence of several elements in gender relationship such as marginalization, subordination, double burden, gender stereotype, sexual harassment, and gender- violence based. This research shows that gender analysis is a relevant mechanism to be applied in evaluating gender relation in Islamic rulings. However, it still need to be based on the value of justice and fairness. This is due to the fact that, not all differences among genders in the perspectives of gender analysis imply gender injustice. Therefore, gender justice could be obtained by putting an element in its proper place and function.

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Kalabikhina, Irina E., and Sofia M. Rebrey. "Economics of gender: A bibliometric analysis." Russian Journal of Economics 8, no. 3 (October 6, 2022): 295–314. http://dx.doi.org/10.32609/j.ruje.8.72689.

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This research aims to identify major fields and structures of economics of gender research based on bibliometric analysis between 1960 and 2020. The analysis of the journals in economics of gender captures major development stages of gender economics. The study of economics of gender is growing rapidly as seen in the increasing number of journals, articles and citations from the 1970s onwards. It grew faster than the pace of economic publications during the 1980–1990s. The economics of gender research disciplines largely replicates economics and can be viewed as part of economics of inequality. But its feminist philosophy and methodology distinguish the economics of gender as a separate branch of economic sciences which furnishes new findings. According to the Scimago and Web of Science databases, more than 90% of articles in economics of gender are published in English (fewer than in the field of economics in general). The structure of the analyzed countries reflects not only the sophistication of national research in economics of gender, but also the degree of their integration into international scientific discourse, including the presence of a language barrier. Gender economists are primarily focused on the problems of developing countries. Advanced economies account for less than a third of all publications.

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Zoirova, Aziza. "Comparative analysis of gender-oriented research." Linguistics and Culture Review 6 (November 25, 2021): 16–23. http://dx.doi.org/10.21744/lingcure.v6ns2.1889.

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This article analyzes the research conducted by world scientists in the field of gender, identifying the relevance and necessity of the issues raised in them through scientific methods. In particular, scholars have studied the gender phenomenon, gender parameters, as well as the semantic grouping and gynocritical analysis generated through the gender component. A scientific approach to this work has been expressed. In the analysis of the research, it is substantiated by the fact that the issues in this area in Uzbek translation studies are not sufficiently studied.

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Kumar, Suchitra S. "Health Deprivation-A Gender-based Analysis." Journal of Global Economy 8, no. 1 (March 31, 2012): 53–62. http://dx.doi.org/10.1956/jge.v8i1.6.

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This paper attempts to test whether women systematically get less health care than their male siblings in Mumbai. The data are drawn from a survey of 200 women and their male siblings.Â The regression models used explicitly take account of health care factors. The results show that there is no significant difference between the health expenditures made between men and women in a family.Â

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Osain, Menizibeya, and Vladimir Alekseevic. "Gender specific analysis of alcohol use." Annals of General Psychiatry 9, Suppl 1 (2010): S221. http://dx.doi.org/10.1186/1744-859x-9-s1-s221.

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Jackson, Edgar L., and Karla A. Henderson. "Gender‐based analysis of leisure constraints." Leisure Sciences 17, no. 1 (January 1995): 31–51. http://dx.doi.org/10.1080/01490409509513241.

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