Department of Sociology Podcasts: Recent Episodes
Oxford University
Podcasts from The Department of Sociology. Sociology in Oxford is concerned with real-world issues with policy relevance, such as social inequality, organised crime, the social basis of political conflict and mobilization, and changes in family relationships and gender roles. Our research is empirical, analytical, and comparative in nature, reaching far beyond British society, to encompass systematic cross-national comparison as well as the detailed study of Asian, European, Latin American and North American societies.
Cees van der Eijk gives a talk for the Sociology seminar series. Cees van der Eijk discusses teaching quantitative methods, focussing on the need in successful methods teaching to locate methods topics in (a) the context of substantive research questions and examples, but also (b) the context of a ‘repertoire’ of methodological tools and approaches, and (c) the context of alternative ways of structuring data.
Chris Zorn discusses teaching quantitative methods focussing on (a) integrating contemporary data science approaches into undergraduate instruction, and (b) using "big data" examples to generate and maintain students' interest.
John Fox discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students, especially focusing on the choice of software with a demonstration of R and R Commander.
Robert Johns (Essex University) discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students, focusing on comparing the use of SPSS and Stata.
Wendy Olsen discusses her experiences and views of what works well when teaching quantitative methods to undergraduate social science students, especially those in Sociology and Social Policy.
Robert Andersen discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students, especially those in Sociology and Social Policy.
Sean Carey (University of Mannheim, Germany) discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students.
Andrew Gelman (Columbia University, NYC) discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students.
Andy Field (University of Sussex) discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students, especially with mixed ability and low motivation students.
Are we coming to an end of the human rights as a social science issue? Talk by Dr Stephen Hopgood (SOAS).
Manfred te Grotenhuis (Radboud University Nijmegen) discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students, especially with mixed ability and low motivation students.
Prof. Kaufmann (Birbeck College) investigates whether Whites in homogeneous English neighbourhoods oppose immigration more.
Seminar on what micro-sociology could tell us about predicting violence. Can micro-sociology give us clues to predict when a protest will become violent?
Research investigating the convert-Jews in Turkey with materials investigating historical accounts, popular conspiracy theory books and interviews with the authors of such books.
Laura Stoker discusses her experiences and views of what works well when teaching quantitative methods to undergraduate social science students. She covers preparation, theory and practical examples, methods, assessment and a wide range of teaching and learning resources. The talk was given as part of a workshop in June 2012 at the Department of Sociology, University of Oxford, for the QMteachers project www.sociology.ox.ac.uk/qmteachers. Laura Stoker is Associate Professor in the Department of Political Science at the University of California, Berkeley, where she lectures on quantitative methods and analysis. She writes on topics at the intersection of research design and statistics, including the optimal design of multi-level studies, problems of aggregation in cross-sectional and longitudinal research, and design-based approaches to estimating age, period, and cohort effects
Alan Agresti discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students. He covers what an introductory quantitative methods course should achieve, general concepts versus mathematical statistics, active learning, use of technology and what to emphasise and de-emphasise. The talk was given as part of a workshop in June 2012 at the Department of Sociology, University of Oxford, for the QMteachers project www.sociology.ox.ac.uk/qmteachers. Alan Agresti is Distinguished Professor Emeritus at the University of Florida. He has written more than 100 articles and six books, including Categorical Data Analysis, which has received more than 12,000 citations in journal articles, and Statistical Methods for the Social Sciences (with Barbara Finlay), an introductory textbook for undergraduate or graduate students
Paul Kellstedt discusses his experiences and views of what works well when teaching quantitative methods to undergraduate political science students and other social scientists.
Dr. Eva Jaspers (University of Utrecht) on negative intergroup contact and how it can help us understand persistent ethnic bias.
Professor Anthony King (University of Exeter) looks at the modern infantry tactics and cohesion, with a perspective on conscripted vs. professional armies.
Bill Jacoby discusses his experiences and views of what works well when teaching quantitative methods to undergraduate political science students and other social scientists. He covers attitudes and objectives of students in an introductory level class, format of lectures, presentation techniques, preparation, evaluation and teaching tools and the nature of statistical analysis in social science. The talk was given as part of a workshop in September 2012 at the Department of Sociology, University of Oxford, for the QMteachers project www.sociology.ox.ac.uk/qmteachers. Bill Jacoby is a Professor in the Department of Political Science at Michigan State University and Director of the ICPSR (Michigan) Summer Program in Quantitative Methods of Social Research.
Prof. Skocpol presents a detailed analysis of the rising Tea Party in the US and how Tea Party followers are different from Democrats.
How can we understand the social mobility patterns through marriage in Great Britain? A historical perspective.
Irena Kogan (University of Mannheim) discusses the determinants of immigrants' investments in official recognition of their education, and the labour market effects of this recognition in Germany. In light of the continuing discussions about the recruitment of a highly-qualified labour force in Germany, this article explores the determinants of immigrants' investments in official recognition of their education, and the labour market effects of this recognition. We examine both research questions with the help of the dataset extending to immigrants from the former Soviet Union. Results of the propensity score matching analysis show that level of education, occupational status in the country of origin, employment in professions that in Germany require specialized authorization, and language proficiency all positively affect immigrants' investments in education recognition. Conversely, age at migration exerts a negative effect. Recognition of education certainly pays off in the German labour market, particularly when concerning high-status employment entry. Penalties associated with a partial recognition of education seem to be of minor importance. The biggest losers appear to be immigrants who attempted to get their education recognized but failed altogether. Not attempting to get one's education recognized, on the other hand, seems to be a rational strategy largely on the part of less educated migrants who are more interested in investing into a quick labour market entry without much concern about the status of their employment.
Yu Xie (University of Michigan, Ann Arbor) explains how racial residential segregation works and how it is best modelled sociologically.
Dr Christiane Hellmanzik (University of Hamburg) describes how mobility and peer effects worked for superstars of modern art in the 19th century. Dr. Hellmanzik presents the importance of peer effects for superstars of modern art in the 19th century Paris and New York. With carefully collected data from the archives and auction sales, she demonstrates how mobility and innovation is transformed if an artist migrates to a new territory, or stays in the homeland.
Ted Gerber (University of Wisconsin) presents the ethnic, socio-economic, linguistic and political sources of ideational cleavages in contemporary Estonia between Estonians and the Russian minority.
Professor Beckfield discusses whether the welfare state convergence is really taking place, or it is just regional integration, especially in the European context. The contemporary institutionalization of a transnational regional political economy in Europe raises questions about the role of regional integration in the convergence of European welfare states. To date, sociological work has emphasized processes of industrialization and globalization as the social changes that may drive increasing similarity among welfare states. Building on neoinstitutionalist theory and the Europeanization literature, we develop the argument that regional integration drives welfare-state convergence by generating, diffusing, and enforcing the adoption of policy scripts concerning "appropriate" European social policy. The hypothesis that deepening regional integration drives growing welfare-state convergence is tested with a three-stage analysis. The first stage examines trends in population-weighted and un-weighted dispersion for the OECD, the set of liberal market economies, and the set of EU-15 member states, since 1960. The second stage examines associations between regional integration and welfare-state dispersion using time-series data. The third stage employs fixed-effects models of dyad-year data. The results support the hypothesis: welfare-state convergence appears only among the EU-15; regional integration trends are associated with convergence; and pairs of countries belonging to the EU develop welfare states that are more similar, on average, than other pairs of countries. The findings are robust to three broad measures of the welfare state. Based on our results, we argue that in theorizing contemporary changes in the welfare state, sociologists should attend to the institutionalization of regional political economy. Welfare states can be conceptualized as embedded in regional, as well as global, systems and institutions.
The author addresses the question how the distribution of household income has been changing in recent decades. After situating contemporary trends in inequality in the context of global income inequality, we turn to address the question how the distribution of household income has been changing in recent decades. We use data from the Luxemburg Income Study and methods based on the relative distribution to decompose overall distributional change into changes in location and shape. We do so for a heterogeneous group of countries: five transitional and middleincome societies the Czech and Slovak Republics, Poland, Russia, and Taiwan and four high-income societies the U.K., U.S., Sweden, and Germany. In the U.K. and U.S., we also describe the changing position of households at interesting social locations i.e., femaleheaded households and households whose heads and spouses/partners lack university qualifications. Focusing on changes in shape, we utilize full distributional information to examine how income inequality grew across the period stretching from the late 1970s to the mid2000s.
Ethnic Labour market discrimination in China, with a particular focus on the Uyghur Minority. This paper analyzes a sample from the 2005 mini-census data to examine ethnic inequalities in labor markets, with a special focus on how ethnic inequality varies by different employment sectors. Results show a clear disparity between Han and Uyghur in employment segregation by sector: more than 70 percent Uyghur in Xinjiang, compared to only 35 percent of local Han Chinese, are engaged in agricultural work; within the non-agricultural sector, Uyghur are nonetheless more likely to work in government agencies/institutions than both Han locals and migrants, and also more likely to become self-employed. Furthermore, while Han-Uyghur earnings gap is negligible in government/institution, it increases with the marketization of employment sector. In other words, the earnings disparity is the largest among self-employed, followed by employees in private enterprises and then by employees in public enterprises. Han migrants in economic sectors enjoy particular earnings advantages and hukou registration has no effect on earnings attainment except in government/institutions. The overall income disadvantages of Uyghur, nevertheless, mainly stem from within-sector difference rather than from sector segregation. The paper concludes that the pattern of ethnic stratification is a mixed result from the market force that tends to enlarge ethnic inequality and government efforts in promoting ethnic equality.
Lecture delivered by Professor Robert M Hauser (University of Wisconsin-Madison). Long-term studies of cognitive ability and mortality have documented a robust relationship between those two variables. Such studies have, for the most part, been remarkably silent on explanations for that relationship. Published explanations range from suggestions that raw intelligence may be a "fundamental cause" of mortality, that it "enhances individuals' care of their own health because it represents learning, reasoning, and problem-solving skills useful in preventing chronic disease and accidental injury," to findings that the association between measured IQ and mortality largely reflect its correlation with educational and economic success. In this analysis of data from the Wisconsin Longitudinal Study, we look at the association between measured IQ and survival across the life course in light of the relationship between measured IQ and grades in secondary school. Briefly, we find that, net of social and economic origins, high school grades have a much larger effect than measured IQ, and the association between measured IQ and survival turns negative once high school grades are controlled. That is, the association between IQ and health is fully explained by its correlation with evaluations of academic performance in secondary school. Moreover, the fact that girls are similar in IQ to boys, but earn higher grades in school, partly explains the gender differential in survival. This finding suggests that survival is largely explained by normative behaviors, that is, doing the right thing in the right way at the right time, and such behaviors are well established by late adolescence.