Analyses of social change with cross-sectional and longitudinal data 1
|Convenor||Ms Malgorzata Mikucka (Universite catholique de Louvain )|
|Coordinator 1||Mr Francesco Sarracino (STATEC, Luxembourg)|
I analyze the large change in attitudes towards homosexuality taken place across 28 countries between 1981 and 2013 using WVS data. My results contradict the impressionable-years model and the age-stability hypothesis, showing that changes in tolerance have come mainly from within-cohort adjustments. I emphasize the way in which changes at the context level are able to influence the dynamics of individual tolerance across countries. I apply novel multilevel techniques to account for two fundamental aspects: 1) the dynamic as well as the comparative nature of international repeated cross-section data; 2) the identification of APC effects, and
The change in gender role attitudes is related to the modernization processes (rising in education, female employment and secularization) differently developed in Europe. Using data from EVS, WVS, ISSP, the analysis inquires how social change in attitudes toward female roles occurs longitudinally (1988-2008) in seven cultural contexts and what factors drive this change. By using multiple regression and linear cohort decomposition, the paper demonstrates that the change in attitudes in private area is slower and due to period effects, in public sphere it is faster and due to cohort replacement. Education figures as the main driver of this social
Longitudinal research designs are used to measure social and / or individual change. Depending on which change to track, different research designs may be used in order to achieve the best results possible. Yet, the literature lacks empirical evidence on how different longitudinal research designs perform. In addition, we are confronted with a variety of hybrid designs (i.e. combinations of repeated cross-section and panel design) which differ from the original design. This paper analyzes the potential of several hybrid panel designs to measure social and/or individual change in comparison to classic panel and repeated cross-section designs.
This paper tries to assess how the recent Indian economic growth affected empowerment for the socially backward – status of women and social backward classes through changing mobility according to the rapid economic growth and recent slowdowns, by using Census and NSS of the 2000s. India’s economic growth has failed to meet inflated aspiration of economically backward households to move economically upward, because of lack of creation of new jobs in urban areas, and it could rather accelerate relative inequality and disparities within the backward via migration process.