Place:
Unicom
Room: 3.3380
Mary-Sommerville-Str. 3
28359 Bremen
Room: 3.3380
Mary-Sommerville-Str. 3
28359 Bremen
Time:
12:00 ct
Organization:
Lecture Series:
Jour Fixe
Semester:
WiSe 2022/23
Departments
Theoretical and Normative Foundations
Political Economy of the Welfare State
Dynamics of Inequality in Welfare Societies
Life Course, Life Course Policy, and Social Integration
Health, Long‐Term Care and Pensions
Methods Research
Projects
Publications
Events
Jour Fixe
Colloquium on Health Policy
Current Semester
Archive
WiSe 2024/25
Summer 2024
Winter 2023/24
Summer 2023
Winter 2022/23
Summer 2020 - Summer 2022
Winter 2019/20
Summer 2019
Winter 2018/19
Summer 2018
Winter 2017/18
Summer 2017
Winter 2016/17
Summer 2016
Winter 2015/16
Summer 2015
Winter 2014/15
Summer 2014
Winter 2013/14
Summer 2013
Winter 2012/13
Summer 2012 to Summer 2007
Method Lectures of the Bridge Professorship
Conferences - Lectures - Workshops
Master
About the SOCIUM
DIFIS
Phone: +49 421 218-58629
mwindzio@uni-bremen.de
University of Bremen
SOCIUM Research Center on Inequality and Social Policy
Unicom-Building (House Salzburg)
Mary-Somerville-Straße 9
28359 Bremen
Germany
There is a barrier-free access to the building but you will still need some assistance.
Please contact your lecturer or contact person in advance.
Thematic Conference
Technological Change, Digitalization and Life Course Inequalities
Technological change has major implications for social inequality. Most of the research focuses on changes in skill requirements and labor market transformations. Yet, digitalization, more than ever before, has the potential to impact inequalities across a wide range of life domains and for different groups in society. This workshop aims to connect researchers to discuss the most important developments and challenges that digitalization has for inequality. The aim is to stimulate and cross-fertilize research on digitalization and inequality regarding various dimensions of the life course and life periods/stages, across various institutional settings. Example questions are: Are gender inequalities intensified or alleviated by technological changes? Do digital technologies foster family relations across generations? What are the implications of changes in skill requirements at work for the reproduction of social inequality? Can elderly benefit from technological advancements or are they left behind? How doesdigitalization impact ethnic inequalities and segregation (e.g., language barriers, labor market integration)?
Keynote Speakers
Mario L. Small, Harvard University
Glenda Quintini, OECD
For registration, please contact simone.ruiz@uni-bremen.de
The world-wide gender gap in education depends not just on countries' economic performance, but also on cultural factors. However, world cultures are not fixed entities. Rather, culture is a characteristic of groups as well as of (world-)regions. How do global cultures moderate women's low education? Based on data of the World Value Survey, this study applies Latent Profile Analysis to generate a fuzzy-set typology of cultures in the world, but based on individuals instead of nation states. Individuals do not belong exclusively to one culture, but to several cultures simultaneously, with varying probabilities. In the second step, cross-classified logistic multilevel models test the country-time specific effects of 'female' on the risk of getting (at best) low education, controlling for various individual and country-specific factors. Cross-level interactions show that the 'female' effect on low education is indeed moderated by world cultures, but neither world cultures, economic factors nor individual characteristics completely explain the strength of the female effects.
Zoom-Link zur Veranstaltung
Kalender-Eintrag
The world-wide gender gap in education depends not just on countries' economic performance, but also on cultural factors. However, world cultures are not fixed entities. Rather, culture is a characteristic of groups as well as of (world-)regions. How do global cultures moderate women's low education? Based on data of the World Value Survey, this study applies Latent Profile Analysis to generate a fuzzy-set typology of cultures in the world, but based on individuals instead of nation states. Individuals do not belong exclusively to one culture, but to several cultures simultaneously, with varying probabilities. In the second step, cross-classified logistic multilevel models test the country-time specific effects of 'female' on the risk of getting (at best) low education, controlling for various individual and country-specific factors. Cross-level interactions show that the 'female' effect on low education is indeed moderated by world cultures, but neither world cultures, economic factors nor individual characteristics completely explain the strength of the female effects.
Spring Conference of the Section on Social Network Analysis of the German Sociological Association (DGS), February 6 / 7, 2020
Conference program
With the increasing availability of longitudinal data, researchers need to decide the best models for their data.
A wide variety of models have been proposed, many of which are available using Structural Equation Models (SEM). This course will review some of the major longitudinal SEMs. Among others this will include autoregressive/crosslag models, latent growth curve models, and Autoregressive Latent Trajectory (ALT) models. The workshop will present each type of model and illustrate their estimation and fit with empirical data.
Some knowledge of SEMs is assumed.
Ken A. Bollen is the Henry Rudolph Immerwahr Distinguished Professor in the Department of Sociology and the Department of Psychology and Neuroscience at UNC at Chapel Hill. He is a faculty member in the Quantitative Psychology Program in the Thurstone Psychometric Laboratory. He also is chair of the Methods Core and a Fellow of the Carolina Population Center and a Faculty member of the Center for Developmental Science. Since 1980 he has been an instructor in the ICPSR Summer Program in Quantitative Methods of Social Research. Bollen's primary areas of statistical research are in structural equation models, longitudinal methods, and latent growth curve models.
Registration:
E-Mail to Johannes Nostadt (nostadt@uni-bremen.de)
Phone: +49 421 218-58629
mwindzio@uni-bremen.de
University of Bremen
SOCIUM Research Center on Inequality and Social Policy
Unicom-Building (House Salzburg)
Mary-Somerville-Straße 9
28359 Bremen
Germany
There is a barrier-free access to the building but you will still need some assistance.
Please contact your lecturer or contact person in advance.