Study title

ISSP 2017: Social Networks and Social Resources III: Finnish Data

Dataset ID Number

FSD3237

Persistent identifiers

https://urn.fi/urn:nbn:fi:fsd:T-FSD3237
https://doi.org/10.60686/t-fsd3237

Data Type

Quantitative

Authors

• International Social Survey Programme (ISSP)
• Melin, Harri (University of Tampere. School of Social Sciences and Humanities)

Other Identification/Acknowledgements

• Laaksonen, Helena (University of Tampere. Finnish Social Science Data Archive)
• Nieminen, Markku (Statistics Finland)

Abstract

The study charted the social networks of Finnish people, namely family and neighbour relations and friendships. It was examined which occupations people in the respondents' social networks represented, and the respondents were asked questions about income disparity as well as who should provide geriatric and healthcare services. Next, the respondents were presented with a set of situations that they could face in their lives and asked who they could seek for help in these situations.

After this, the survey enquired whether the respondents felt that people could be trusted or if they would try to take advantage of them. The respondents' trust in courts of law and large privately owned Finnish enterprises was also surveyed. The respondents were also asked if members of their family attempted to exert influence on their life choices, and whether family, relatives or friends tended to make demands on the respondent.

The next set of questions charted how many people the respondents interacted with on a daily basis and how many of these interactions happened face to face. Finally, the extent to which the respondents kept in touch with family, relatives and friends was examined, and it was queried if they experienced a significant amount of hardship in their life and whether they felt unhappy or depressed.

Background variables included, among others, gender, year of birth, marital status, education level, economic activity and occupation, trade union membership, socioeconomic class, the respondent's gross income and household gross income, household composition, and region (NUTS3).

Keywords

appointments; families; family members; friends; neighbours; social environment; social interaction; social networks; social status; trust

Topic Classification

• Social sciences (Fields of Science Classification)
• Social behaviour and attitudes (CESSDA Topic Classification)

Series

ISSP (International Social Survey Programme)

Distributor

Finnish Social Science Data Archive

Access

The dataset is (B) available for research, teaching and study.

Data Collector

• Statistics Finland

Time Period Covered

2017

Collection Dates

2017-09-20 – 2017-12-31

Nation

Finland

Geographical Coverage

Finland

Analysis/Observation Unit Type

Individual

Universe

Finnish people aged 15 - 74

Time Method

Longitudinal: Trend/Repeated cross-section

Sampling Procedure

Probability: Systematic random

Systematic random sample drawn from the population register. Sorting order: municipality code and birthday

Sample size 2,496 persons, of which 95.2% were Finnish-speaking and 4.8% Swedish-speaking. A total of 1,074 filled questionnaires were received. The total number of non-respondents was 1,422 (unknown address 3, ill or otherwise unable to answer 2, language problems 1, refused 2, returned an empty questionnaire 2, and other reasons for non-response 1,412).

Collection Mode

Self-administered questionnaire: Web-based (CAWI)

Self-administered questionnaire: Paper

Research Instrument

Structured questionnaire

Response Rate

43.0

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: Finnish.

FSD translates quantitative data into English on request, free of charge. More information on ordering data translation.

Data Version

1.0

Weighting

The data contain two weight variables (bv3 and bv4), which were created using a calibration method in order to improve estimation efficiency and to correct non-response bias. The weights are based on the following population distributions: 1) gender, 2) age groups (15-24, 25-34, ..., 65-74), 3) NUTS3 regions (altered to consider Greater Helsinki Region as its own region), and 4) municipality type (urban - semi-urban - rural). The first weight variable (bv3) weights the results to match the whole Finnish population (the sum of the weights equals to the size of the Finnish population). The second weight variable (bv4) does not produce this kind of extension (the weighted mean is 1 and the sum equals to the number of cases (1,074)). Both variables are based on the same calibration process, only the scale is different.

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

International Social Survey Programme (ISSP) & Melin, Harri (University of Tampere): ISSP 2017: Social Networks and Social Resources III: Finnish Data [dataset]. Version 1.0 (2018-03-06). Finnish Social Science Data Archive [distributor]. https://urn.fi/urn:nbn:fi:fsd:T-FSD3237

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.

Other Material

See downloadable files at the top of the page.

ZA6980: International Social Survey Programme: Social Networks and Social Resources III - ISSP 2017 data and further information in English available at GESIS pages.

Related Publications

Ricardo Gonzalez, Adolfo Fuentes & Esteban Muñoz (2020) On Social Capital and Health: The Moderating Role of Income Inequality in Comparative Perspective, International Journal of Sociology, 50:1, 68-85, DOI: 10.1080/00207659.2019.1709138

Yanjie Bian, Lei Zhang & Yayi Gao (2020) Social bonding and subjective wellbeing: findings from the 2017 ISSP Module, International Journal of Sociology, 50:1, 26-47, DOI: 10.1080/00207659.2019.1701320

Roman Hofreiter & Miloslav Bahna (2020) Looking for a Job and Borrowing Money: Uncertainty and the Reliance on Strong Ties, International Journal of Sociology, 50:2, 103-121, DOI: 10.1080/00207659.2020.1726628

Markus Hadler, Florian Gundl & Bostjan Vrecar (2020) The ISSP 2017 Survey on Social Networks and Social Resources: An Overview of Country-Level Results, International Journal of Sociology, 50:2, 87-102, DOI: 10.1080/00207659.2020.1712048

Lindholm, Paula (2020). Sosiaalinen pääoma ja henkinen hyvinvointi: tutkimus sosiaalisen pääoman yhteydestä henkiseen kuormittuneisuuteen. Tampere: Tampereen yliopisto. Kandidaatin tutkielma. http://urn.fi/URN:NBN:fi:tuni-202005155388

Blanchflower, David G. 2020. 'Is Happiness U-shaped Everywhere? Age and Subjective Well-being in 145 Countries.' Journal of Population Economics 34, 575-624. doi: 10.1007/s00148-020-00797-z

Engler, Sarah and Weisstanner, David. 2021.The threat of social decline: income inequality and radical right support. Journal of European Public Policy 28:2, 153-173. doi: 10.1080/13501763.2020.1733636.

Sapin, Marlene, Joye, Dominique, Wolf, Christof, Andersen, Johannes, Bian, Yanjie, Carkoglu, Ali, Fu, Yang-Chi, Kalaycioglu, Ersin, Marsden, Peter V. and Smith, Tom W. 2020.'The ISSP Social Networks and Social Resources Module.' International Journal of Sociology 50:1, 1-25.

Kemppinen, Samu. (2021). Sosiaalinen pääoma, yksinäisyys ja sosioekonomiset terveyserot: Sosiaalinen pääoma ja yksinäisyys välittävinä tekijöinä psykososiaalisessa selitysmallissa. Pro gradu -tutkielma, Jyväskylän yliopisto. http://urn.fi/URN:NBN:fi:jyu-202106113649.

Vartiainen, Neea (2020). Kun raha ei kasva puussa. Sosioekonomisen aseman yhteys rahalainojen lähteisiin. Turku: Turun yliopisto. Sosiaalitieteiden kandidaatintutkielma.

Blanchflower, David G. & Clark, Andrew E. 2021. Children, unhappiness and family finances. Journal of Population Economics 34(2):625-53. doi:10.1007/s00148-020-00798-y

Schobin, J (2022): "Loneliness and Emancipation: A Multilevel Analysis of the Connection between Gender Inequality, Loneliness, and Social Isolation in the ISSP 2017." In: International Journal of Environmental Research and Public Health 19 (12). doi: https://doi.org/10.3390/ijerph19127428

Taniguchi, H. and Kaufman, G. (2022): "Family, Collectivism, and Loneliness from a CrossCountry Perspective." In: Applied Research in Quality of Life 17 (3): 1555-1581. doi: https://doi.org/10.1007/s11482-021-09978-8

Pitkänen, Reetta (2024). Yksin, mutta ei yksinäinen: Sinkkujen kokema yksinäisyys ja tyytyväisyys elämään. Yhteiskuntatieteiden kandidaatintutkielma. Tampere: Tampereen yliopisto.

Raudenská, Petra (2023) Single-item measures of happiness and life satisfaction: the issue of cross-country invariance of popular general well-being measures. Humanities and Social Sciences Communications 10, 861 (2023). https://doi.org/10.1057/s41599-023-02299-1

Otero, Gabriel & Völker, Beate & Rözer, Jesper & Mollenhorst, Gerald (2024) Differences in access to social capital across societies, European Sociological Review, Volume 40, Issue 3, Pages 493-510, https://doi.org/10.1093/esr/jcad035

Blanchflower, David & Bryson, Alex (2024) The Gender Well-Being Gap. Social Indicators Research 173, 1-45. https://doi.org/10.1007/s11205-024-03334-7

Rybak, Adam (2023) Survey Mode and Nonresponse Bias: A Meta-Analysis Based on the Data from the International Social Survey Programme Waves 1996-2018 and the European Social Survey Rounds 1 to 9. PloS one 18(3). doi: 10.1371/journal.pone.0283092.

Kołczyńska, Marta; Jabkowski, Piotr and Eckman, Stephanie (2023) Interviewer Involvement in Respondent Selection Moderates the Relationship between Response Rates and Sample Bias in Cross-National Survey Projects in Europe. In: Journal of Survey Statistics and Methodology: 1-13. https://doi.org/10.1093/jssam/smad013

Hennig, Marina; Laier, Bastian. (2023) Social Resources and Life Satisfaction: Country-Specific Effects? International Journal of Sociology 53(1):22. https://doi.org/10.1080/00207659.2022.2134614.