Projects / Programmes
Social Science Methodology, Statistics, and Informatics
January 1, 1999
- December 31, 2003
Code |
Science |
Field |
Subfield |
5.03.00 |
Social sciences |
Sociology |
|
Code |
Science |
Field |
S274 |
Social sciences |
Research methodology in science |
S213 |
Social sciences |
Social structures |
P160 |
Natural sciences and mathematics |
Statistics, operations research, programming, actuarial mathematics |
Researchers (11)
Organisations (1)
Abstract
For the past several years the research group has been very successful in studying actual methodological and statistical topics. The group will continue to develop original approaches to solve methodological and stastical problems also in the future. These topics are:
- evaluation of measurement quality of survey measurement instruments for assessing opinions and attitudes in public opinion pools as well as evaluation of measurement quality of survey measurement instruments for assessing complete and egocentric networks (development of methods for evaluating measurement quality, analyses of effects of personality characteristics of respondents on measurement quality, effects of respondents' moods on measurement quality, etc.),
- analysis of open-ended survey questions,
- analysis of (also very large) social networks (clustering units in a network with the same or similar pattern of ties with the other units in a network, blockmodeling),
- representations of social networks based on determining and visualization of global structure and local details; special emphasis is given to automatic generation of network layouts,
- the role of sampling weights due to nonresponse weighting, including the work on optimal strategies for a proper calculation of nonresponse weights in complex samples,
- work on integrated system for designing sample surveys, what includes linking the socio-demographic variables with spatial and geographical data (outlining a theoretical framework and designing a practical applications),
- the application of linear models in social sciences with the emphasis on the application of linear algebra methods in statistics, in the theory of expected utility, and in the theory of group decisions and social choice.
Most important scientific results
Final report
Most important socioeconomically and culturally relevant results
Final report