FSD3291 Social Distinctions in Modern Russia 1990-2015
The dataset is (B) available for research, teaching and study.
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Study title
Social Distinctions in Modern Russia 1990-2015
Dataset ID Number
FSD3291
Persistent identifiers
https://urn.fi/urn:nbn:fi:fsd:T-FSD3291https://doi.org/10.60686/t-fsd3291
Data Type
Quantitative
Authors
- Nikula, Jouko (University of Helsinki. Aleksanteri Institute)
Abstract
The Social Distinctions in Modern Russia survey series charted various issues characterising social differentiation in contemporary Russian society. This dataset contains combined data from datasets FSD3285, FSD3286, FSD3287 and FSD3288. Social differentiation in this study was mainly considered in terms of occupation, social mobility, property and income, but attitudes, politics and religion were also examined. The study aimed to survey the respondents' conditions in life together with their values in order to examine the interaction between the two.
Keywords
educational background; family environment; family life; interpersonal relations; labour and employment; occupational life; political action; political attitudes; socio-economic status; standard of living; workers participation
Topic Classification
- Social sciences (Fields of Science Classification)
- Economic systems and development (CESSDA Topic Classification)
- Working conditions (CESSDA Topic Classification)
- Language and linguistics (CESSDA Topic Classification)
- Political behaviour and attitudes (CESSDA Topic Classification)
- Political ideology (CESSDA Topic Classification)
- Information technology (CESSDA Topic Classification)
- Equality, inequality and social exclusion (CESSDA Topic Classification)
- Family life and marriage (CESSDA Topic Classification)
- Occupational health (CESSDA Topic Classification)
- Religion and values (CESSDA Topic Classification)
- Housing (CESSDA Topic Classification)
Series
Social Distinctions in Modern RussiaDistributor
Finnish Social Science Data Archive
Access
The dataset is (B) available for research, teaching and study.
Data Collector
- Chernysh, Mikhail (Russian Academy of Sciences. Institute of Sociology)
Time Period Covered
1990 – 2015-08
Collection Dates
1990 – 2015-08
Nation
Finland
Geographical Coverage
Finland
Analysis/Observation Unit Type
Individual
Universe
Russian citizens aged over 18 (excluding sparsely populated areas and employees in certain institutions (the armed forces, prisons, highest positions in administration, and hospitals))
Time Method
Longitudinal: Trend/Repeated cross-section
Sampling Procedure
Probability: Stratified: Proportional
Probability: Simple random
The sample size was approximately 3,000 respondents. The sample was formed based on the following principles: the sample must allow for a reasonable equilibrium between the costs of the study, the precision of the data and the design of the sample should be clear enough to allow for easy replication in the future, and the sample must be well documented.
The above principles set some constraints on the sample design: sparsely populated areas or areas difficult to access were not included in the sample. Additionally, certain institutions (the armed forces, prisons, highest positions in administration, and hospitals) were not included. The exclusion of this part of the population from the sample led to a smaller proportion of males in the sample, because the majority of employees (over 80%) in these institutions are male.
The interviews were organised through administrative districts (rayons). The population of rayons ranges from 50,000 to 300,000, and there are close to 2,800 rayons in Russia. Rayons can be divided into three types: (1) big city rayons, (2) town and village rayons, (3) urban rayons. The given sample design was based on the data of the 1989 All-Russia Census conducted by the State Committee of Statistics, and the MicroCensus of 1994. It was possible to select the respondents randomly based on electoral areas, for which very in-depth information of the population is available. Big cities (such as Moscow and St. Petersburg) were analysed separately in the sample. In big cities, the sample was generated by a random choice of household telephone numbers. For more information on the formation on the sample, see the background file.
Collection Mode
Face-to-face interview: Paper-and-pencil (PAPI)
Research Instrument
Structured questionnaire
Data File Language
Downloaded data package may contain different language versions of the same files.
The data files of this dataset are available in the following languages: English.
FSD translates quantitative data into English on request, free of charge. More information on ordering data translation.
Number of Cases and Variables
865 variables and 12286 cases.
Data Version
1.0
Completeness of Data and Restrictions
The letters included in the variable names indicate which dataset the question came from: A for FSD3285 (1991 survey), B for FSD3286 (1998 survey), C for FSD3287 (2007 survey), and D for FSD3288 (2015 survey).
Weighting
There are no weight variables in the data.
Citation Requirement
The data and its creators shall be cited in all publications and presentations for which the data have been used. The bibliographic citation may be in the form suggested by the archive or in the form required by the publication.
Bibliographical Citation
Nikula, Jouko (University of Helsinki): Social Distinctions in Modern Russia 1990-2015 [dataset]. Version 1.0 (2020-07-24). Finnish Social Science Data Archive [distributor]. https://urn.fi/urn:nbn:fi:fsd:T-FSD3291
Deposit Requirement
Notify FSD of all publications where you have used the data by sending the citation information to user-services.fsd@tuni.fi.
Disclaimer
The original data creators and the archive bear no responsibility for any results or interpretations arising from the reuse of the data.
Related Materials
Birjukov, Dmitry & Nikula, Jouko (1999). Social distinctions in modern Russia (SDMR). Sample report 1998
Related Publications
Birjukov, Dmitry & Nikula, Jouko (1999). Social distinctions in modern Russia (SDMR). Sample report 1998
Study description in machine readable DDI-C 2.5 format
Metadata record is licensed under a Creative Commons Attribution 4.0 International license.