2019
DOI: 10.1332/175795919x15628474680745
|View full text |Cite
|
Sign up to set email alerts
|

The LIVES-FORS cohort survey: A longitudinal diversified sample of young adults who have grown up in Switzerland

Abstract: The LIVES-FORS Cohort Study (LCS) is a longitudinal annual survey following a cohort of young adults born between 1988 and 1997 who grew up in Switzerland (initial N = 1,691). The LCS was launched in 2013 and complements the Swiss Household Panel (SHP) by overrepresenting the second generation of immigrants ('secondos'). The principal aim of the study is to observe the transition into adulthood with a focus on the life course and on vulnerability processes, comparing participants whose parents arrived in Switz… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
6
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
3
3

Relationship

2
4

Authors

Journals

citations
Cited by 10 publications
(6 citation statements)
references
References 12 publications
0
6
0
Order By: Relevance
“…When such inferences are a research objective, other ingenious variants of network sampling can help bridge the type of aims described here with those of classic probability sampling. In the context of the LIVES program, for example, controlled network sampling allowed for the creation of a representative cohort sample with an oversample of the (statistically) hidden population of second-generation immigrants (Spini et al, 2019). In that study, network sampling generated further benefits: It allowed us to diminish attrition in subsequent waves in comparison with research participants recruited through classic random sampling (Brändle et al, 2017) and to exploit the tie structure used to generate the sample to describe different configurations of social capital in the reference population (Guarin, 2020).…”
Section: Beyond General Social Characteristics: Analysing Variability...mentioning
confidence: 99%
“…When such inferences are a research objective, other ingenious variants of network sampling can help bridge the type of aims described here with those of classic probability sampling. In the context of the LIVES program, for example, controlled network sampling allowed for the creation of a representative cohort sample with an oversample of the (statistically) hidden population of second-generation immigrants (Spini et al, 2019). In that study, network sampling generated further benefits: It allowed us to diminish attrition in subsequent waves in comparison with research participants recruited through classic random sampling (Brändle et al, 2017) and to exploit the tie structure used to generate the sample to describe different configurations of social capital in the reference population (Guarin, 2020).…”
Section: Beyond General Social Characteristics: Analysing Variability...mentioning
confidence: 99%
“…The LCS is an annual longitudinal survey following a cohort of young adults born between 1988 and 1997 who grew up in Switzerland (Spini et al, 2019). The main interest of this study is 'to describe the life paths to adulthood in Switzerland today and to compare young adults from the second generation to those whose parents have grown up in Switzerland (either born there or arriving as minors)' (Spini et al, 2019, p. 400).…”
Section: The Lives-fors Cohort Surveymentioning
confidence: 99%
“…As a longitudinal study, data are collected each year in connection to the Swiss Household Panel but with a different sampling method. While the participants of the Swiss Household Panel were drawn from official registers, those for the LCS were obtained, first, by sampling with an unequal selection probability in order to create a pool of contacts and, later, by network or snowball sampling (which concerned the majority of the sample, see Spini et al, 2019 or https://forscenter.ch). Thus, migrants' descendants were over-represented.…”
Section: The Lives-fors Cohort Surveymentioning
confidence: 99%
See 2 more Smart Citations