Применение стратегии смешивания методов для изучения усвоенной мизогинии среди женщин поколения Миллениум
Problematization of women’s experience in a patriarchal and conservative society is topical despite change of epochs. More women stress their ability to belong to the privileged class of men and condemn those who are not ready to abandon femininity, as Simone de Beauvoir wrote. Those women who socialize supporting these increasingly popular practices are female misogynists. The authors’ review of theoretical approaches shows that the internalized misogyny is insufficiently studied. The empirical part of the study explores this phenomenon in the Russian society. The study emphasizes specifics of internalized
misogyny among women brought up in the post-Soviet era, the Millennial generation.
The authors use a mixed methods research strategy combining qualitative and quantitative approaches — focused interview with stimulus materials and online survey. A tool to measure the concept of internalized misogyny is developed and tested; this tool helps to establish a connection between the expression of misogyny and social and demographic characteristics and to explore its types (gender «contracts»).
The paper exmines methodological reflection on current discussion about “third methodological movement” (or “third research community”) that supposes the combination of the qualitative and quantitative approaches to implement the multimethod research strategy for more comprehensive understanding of social phenomenon. The main steps on the development of the methodological movement, Russian translation of the term ‘MMR’ and current competitive classifications of the research designs are described. The perspectives are discussed in the last part of the paper.
The paper represents the way in which mind mapping operates for teaching process. It also demonstrates the application of formative assessment in mind mapping adopting for teaching and learning. Formative assessment is designed as a mixed methods research. It includes participant observation, questionnaire, and classroom discussions on students’ mind maps. Assessment feedback is considered as an important phase of new teaching method’s adoption for a master program. The paper contributes to the current literature by shifting the focus from students’ academic achievements to process of the method’s adoption; by discussing formative assessment approach to mind mapping. The results show costs and benefits of mind mapping for students and support appropriateness of formative assessment for mind mapping adoption. The ways to improve mind mapping process in the current context and directions for future research are discussed.
The article discusses the strategy of «mixing» methods, particularly prevalent in the Western research tradition. Covers the methods of text analysis, demonstrated the difference between formal or approach on the example of the study of the image of modern Russia in the texts of the American edition of «New York Times», where attention is paid to algorithms work with texts. It is shown that for the study of such phenomena as the image of the country, the combination of formal or approaches to the analysis of the text is a necessary and natural research phenomenon.
The paper deals with the impact of the economic crisis of 2008–2009 upon gender attitudes of the population of Europe. Crisis touched the economy of most European countries though to a different extent. It influenced objective living conditions of people including the situation in the labor market. The changing economic situation in its turn should affect gender attitudes. In the research we take into account the impact of crisis on both individual and country level. Special focus in the research is given to the impact of gender attitudes of women and those who live in single household with children as these two categories form vulnerable groups. The data of Eurobarometer 2011 serves as a database. The targeted group of population is 18–65. Multilevel regression modeling is used.
This study aims to analyze differences between gender attitudes of migrants and local population in 8 countries of Western and Northern Europe. It tests whether migrants from developing countries, especially from the Muslim world, tend to follow European trends in their attitude towards gender equality or they tend to treat gender equality issues in the same manner as in their countries of origin. This topic is of particular importance as attitudes towards women’s rights are proven to be a strong predictor of support for democracy and of liberal values in general. This study uses the data of the 5th wave of the European Social Survey, a representative national sample for the most European societies. The results show that migrants are a little more conservative in their gender attitudes than local Europeans, but the influence of this factor is often overestimated, whereas age and level of education exceed migrant status and Islam as predictors of liberal or conservative gender attitudes. Moreover, attitudes towards women’s rights among migrants are very similar to the attitudes of the local population in any particular country. Consequently, migrants in the most liberal countries such as Sweden show more support for gender equality than locals in Germany or Switzerland. However, Muslim religion remains a robust medium-sized negative predictor of gender attitudes.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.