Aller au contenu principal

LIVES studies based on secondary data collections

Major publications

listed by project

NCCR LIVES phase III

Reference Data collection / Data type Dataset / source
Vandecasteele, L.; Ivanova, K.; Sieben, I. & Reeskens, T. (2022). Changing attitudes towards the impact of women’s employment on families. The COVID-19 effect. Gender, Work & Organization. http://doi.org/10.1111/gwao.12874 large-scale, cross-national, repeated cross-sectional Dutch European Values Survey (EVS) https://europeanvaluesstudy.eu/
Steinmetz, S.; Vandecasteele, L.; Lebert, F.; Voorpostel, M.; Lipps, O. (2022). The gendered consequences of the COVID-19 lockdown on unpaid work in Swiss dual earner couples with children. Gender, Work & Organization. http://doi.org/10.1111/gwao.12875 Quantitative, longitudinal Swiss Household Panel data (FORS).
https://forscenter.ch/projects/swiss-household-panel/data/
Morris, K., Bühlmann, F., Sommet, N. & Vandecasteele, L. (2022). The paradox of local inequality: Meritocratic beliefs in unequal localities. The British Journal of Sociology, 73, 421-460. https://doi.org/10.1111/1468-4446.12930 Quantitative, longitudinal

UK Household Longitudinal Study
https://www.understandingsociety.ac.uk/

 

Vandecasteele, L., & Fasang, A. E. (2021). Neighbourhoods, networks and unemployment: The role of neighbourhood disadvantage and local networks in taking up work. Urban Studies, 58(4), 696-714. doi:10.1177/0042098020925374. Nominated for Best 2021 Article in Urban Studies Quantitative, longitudinal UK Household Longitudinal Study
https://www.understandingsociety.ac.uk/
Bertogg, A., Strauß, S., & Vandecasteele, L. (2021). Linked lives, linked retirement? Relative income differences within couples and gendered retirement decisions in Europe. Advances in Life Course Research, 47, 100380. doi: https://doi.org/10.1016/j.alcr.2020.100380 Quantitative, longitudinal European Union Statistics on Income and Living Conditions (EU-SILC)
https://ec.europa.eu/eurostat/web/microdata/european-union-statistics-on-income-and-living-conditions
Reeskens, T., Muis, Q., Sieben, I., Vandecasteele, L., Luijkx, R., & Halman, L. (2021). Stability or change of public opinion and values during the coronavirus crisis? Exploring Dutch longitudinal panel data. European Societies, 23(S1), 153-171. doi:10.1080/14616696.2020.1821075 Quantitative, longitudinal Dutch fieldwork of the European Values Study https://europeanvaluesstudy.eu/category/dissemination/the-netherlands/
Scott, M., Mohan, K., & Gauthier, J.-A. (2020). Model-based clustering and analysis of life history data. Journal of the Royal Statistical Society – Series A. 183(3), 1231–1251. https://doi.org/10.1111/rssa.12575 Swiss Household Panel data (FORS). Quantitative, longitudinal https://forscenter.ch/projects/swiss-household-panel/data/
Vacchiano, M., Yepes-Cayuela, L. & Martì, J. (2019). The Family as (one- or two-step) social capital: Mechanisms of support during labor market transitions. Community, Work & Family, 0(0), 1–17. https://doi.org/10.1080/13668803.2019.1687425 Data are retrieved from the project ‘Redemas’ funded by the Spanish Ministry of Economy and Competitiveness. Qualitative data

Ref: CSO2012- 36055

 

Auderset, D., Akre, C., Barrense-Dias, Y., Berchtold, A., Jacot-Descombes, C., Leeners, B., Morselli, D., & Surís, J.-C. (2020). Profile of young victims of unwanted sexual experiences: A gender comparison using a Swiss national survey. Sexuality Research and Social Policy. https://doi.org/10.1007/s13178-020-00436-y Sexual health and behavior of young people in Switzerland. Quantitative data LIVES gave economic support for data collection in terms of programming an online questionnaire
Debnar, C., Carrard, V., Morselli, D., Michel, G., Bachmann, N., & Peter, C. (2019). Psychological distress trajectories in chronic physical health conditions. Health Psychology, 39(2), 116-126. https://doi.org/10.1037/hea0000820 Swiss Household Panel dasta (FORS). Quantitative, longitudinal. https://forscenter.ch/projects/swiss-household-panel/data/
Galvis Aparicio, M., Carrard, V., Morselli, D., Post, M. W. M., Peter, C., Jordan, X., Léger, B., Baumberger, M., Peter Gmünder, H., Curt, A., Schubert, M., Hund-Georgiadis, M., Hug, K., Troger, T., Joggi, D., Landolt, H., Münzel, N., Brach, M., Stucki, G., & Fekete, C. (2020). Profiles of psychological adaptation outcomes at discharge from spinal cord injury inpatient rehabilitation. Archives of Physical Medicine and Rehabilitation, 101(3), 401–411. https://doi.org/10.1016/j.apmr.2019.08.481 SwisSCI. Longitudinal https://www.swisci.ch/en/research-projects-home/organisation/team
Morselli, D., Passini, S., & McGarty, C. (2020). Sos Venezuela: An analysis of the anti-Maduro protest movements using Twitter. Social Movement Studies, 1–22. https://doi.org/10.1080/14742837.2020.1770072 Twitter. Textual data twitter.com

 

Reference Data collection / Data type Dataset / source
Burton-Jeangros, C., Duvoisin, A., Consoli, L., Fakhoury, J., & Jackson, Y. (2021).The well-being of newly regularized migrant workers : Determinants of their satisfaction with life as compared to undocumented migrant workers and regular local residents. Comparative Migration Studies, 9(1), 42. https://doi.org/10.1186/s40878-021-00244-2 Quantitative, longitudinal. Swiss Household Panel (SHP) https://forscenter.ch/projects/swiss-household-panel/
Sieber, S., Cheval, B., Orsholits, D., van der Linden, B. W. A., Guessous, I., Gabriel, R., Kliegel, M., von Arx, M., Kelly-Irving, M., Aartsen, M. J., Boisgontier, M. P., Courvoisier, D., Burton-Jeangros, C., & Cullati, S. (2020). Do welfare regimes moderate cumulative dis/advantages over the life course? Cross-national evidence from longitudinal SHARE data. The Journals of Gerontology: Series B. Advance online publication. https://doi.org/10.1093/geronb/gbaa036 SHARE - Survey of Health, Ageing and Retirement in Europe - quantitative longitudinal data http://www.share-project.org/home0.html
Boisgontier, M. P., Orsholits, D., Arx, M. von, Sieber, S., Miller, M. W., Courvoisier, D., Iversen, M. D., Cullati, S., & Cheval, B. (2020). Adverse childhood experiences, depressive symptoms, functional dependence, and physical activity: A moderated mediation model. Journal of Physical Activity and Health, 1–10. https://doi.org/10.1123/jpah.2019-0133 idem idem
Cheval, B., Orsholits, D., Sieber, S., Courvoisier, D., Cullati, S., & Boisgontier, M. P. (2020). Relationship between decline in cognitive resources and physical activity. Health Psychology, 39(6), 519–528. https://doi.org/10.1037/hea0000857 idem idem
Van Der Linden, B. W. A., Sieber, S., Cheval, B., Orsholits, D., Guessous, I., Gabriel, R., Von Arx, M., Kelly-Irving, M., Aartsen, M., Blane, D., Boisgontier, M. P., Courvoisier, D., Oris, M., Kliegel, M., & Cullati, S. (2019). Life-course circumstances and frailty in old age within different european welfare regimes: A longitudinal study with SHARE. The Journals of Gerontology: Series B. Advance online publication. https://doi.org/10.1093/geronb/gbz140 idem idem

 

Reference Data collection / Data type Dataset / source
Gouveia, B. R., Ihle, A., Kliegel, M., Freitas, D. L., & Gouveia, É.R. (2018). Sex differences in relation patterns between health-related quality of life of older adults and its correlates: A population-based cross-sectional study in Madeira, Portugal. Primary Health Care Research & Development, 1–5. Saúde e Qualidade de Vida dos Adulstos Idodos da Região Autónoma da Madeira (RAM), Portugal. [Health and quality of life of older adults from Autonomus Region of Madeira (ARM), Portugal.] Quantitative; cross sectional. Data available upon request
Gouveia, É. R., Gouveia, B. R., Ihle, A., Kliegel, M., Marques, A., & Freitas, D. L. (2019). Balance and mobility relationships in older adults: A representative population-based cross sectional study in Madeira, Portugal. Archives of Gerontology and Geriatrics, 80, 65–69. idem idem
Gouveia, É. R., Ihle, A., Gouveia, B. R., Kliegel, M., Marques, A., & Freitas, D. L. (2019). Muscle mass and muscle strength relationships to balance: The role of age and physical activity. Journal of Aging and Physical Activity, 28(2), 262–268. Health and quality of life of older adults from Autonomous Region of Madeira (ARM), Portugal. Quantitative; cross sectional. Data available upon request
Ihle, A., Gouveia, É. R., Gouveia, B. R., Freitas, D. L., Jurema, J., Ornelas, R. T., Antunes, A. M., Muniz, B. R., & Kliegel, M. (2018). The relation of education and cognitive activity to mini mental state in old age: The role of functional fitness status. European Journal of Ageing, 15(2), 123–131. https://doi.org/10.1007/s10433-017-0441-4 Saúde, Estilo de Vida e Aptidão em Adultos e Adultos Idosos do Amazonas” (SEVAAI) [Health, Lifestyle, and Functional Fitness in the Older People from Amazonas, Brazil].Quantitative; cross sectional. Data available upon request
Windsor, T. D., Ghisletta, P., & Gerstorf, D. (2018). Social resources as compensatory cognitive reserve? Interactions of social resources with education in predicting late-life cognition. The Journals of Gerontology: Series B. Advance online publication. https://doi.org/10.1093/geronb/gby14 Berlin Aging Study. Quantitative longitudinal data. https://www.base-berlin.mpg.de/en
Landös, A., von Arx, M., Cheval, B., Sieber, S., Kliegel, M., Gabriel, R., Orsholits, D., van der Linden, B. W. A., Blane, D., Boisgontier, M. P., Courvoisier, D. S., Guessous, I., Burton- Jeangros, C., & Cullati, S. (2019). Childhood socioeconomic circumstances and disability trajectories in older men and women: A European cohort study. European Journal of Public Health, 29(1), 50–58. https://doi.org/10.1093/eurpub/cky166 Survey of Health, Ageing and Retirement in Europe (SHARE).
Quantitative and longitudinal
SHARE Waves 1, 2, 3, 4, 5 and 6: DOIs: 10.6103/SHARE.w1.600, 10.6103/SHARE.w2.600, 10.6103/SHARE.w3.600, 10.6103/SHARE.w4.600, 10.6103/SHARE.w5.600, 10.6103/SHARE.w6.600
Sieber, S., Cheval, B., Orsholits, D., van der Linden, B. W. A., Guessous, I., Gabriel, R., Kliegel, M., von Arx, M., Kelly-Irving, M., Aartsen, M. J., Boisgontier, M. P., Courvoisier, D., Burton-Jeangros, C., & Cullati, S. (2020). Do welfare regimes moderate cumulative dis/advantages over the life course? Cross-national evidence from longitudinal SHARE data. The Journals of Gerontology: Series B, 75(6), 1312–1325. https://doi.org/10.1093/geronb/gbaa036 idem idem
Van der Linden, B. W. A., Sieber, S., Cheval, B., Orsholits, D., Guessous, I., Gabriel, R., von Arx, M., Kelly-Irving, M., Aartsen, M., Blane, D., Boisgontier, M. P., Courvoisier, D., Oris, M., Kliegel, M., & Cullati, S. (2019). Life-course circumstances and frailty in old age within different European welfare regimes: A longitudinal study with SHARE. The Journals of Gerontology: Series B. Advance online publication. https://doi.org/10.1093/geronb/gbz140 idem idem
Remund, A. (2018). Young adult excess mortality in Switzerland: The role of socioeconomic vulnerability. Population, 73(3), 445-480. Swiss National Cohort. Quantitative and longitudinal www.swissnationalcohort.ch
Remund, A., Cullati, S., Sieber, S., Burton-Jeangros, C., & Oris, M. (2019). Longer and healthier lives for all? Successes and failures of a universal consumer-driven healthcare system, Switzerland, 1990–2014. International journal of public health, 64(8), 1173-1181. Swiss National Cohort and Enquête Suisse sur la Santé
Both quantitative, SNC is longitudinal and ESS is repeated cross-sectional
www.swissnationalcohort.ch
https://www.bfs.admin.ch/bfs/fr/home/statistiques/sante/enquetes/sgb.html
Madero-Cabib, I., Corna, L. & Baumann, I. (2020). Journals of Gerontology: Social Sciences, 75(7), 1515–1526. Survey of Health, Ageing and Retirement in Europe (SHARE). Quantitative and longitudinal http://www.share-project.org/data-access.html
Baumann, I., Eyjólfsdóttir, H. S., Fritzell, J., Lennartsson, C., Darin-Mattsson, A., Kåreholt, I., Andel, R., Dratva, J., & Agahi, N. (2020). Do cognitively stimulating activities affect the association between retirement timing and cognitive functioning in old age? Ageing & Society. Advance online publication. https://doi.org/10.1017/S0144686X20000847 Swedish Level of Living Survey (LNU), the SWEOLD, and the Longitudinal Integration Database for Health Insurance and Labour Market Studies (LISA) annual income register.

https://www.sofi.su.se/english/research/three-research-units/lnu-level-of-living/lnu-documentation/lnu-2010

https://www.sweold.se/en/englishhome/

https://github.com/registerresearch/lisa

Marconcin, P., Ihle, A., Werneck, A. O., Gouveia, É. R., Ferrari, G., Peralta, M., & Marques, A. (2021). The Association of Healthy Lifestyle Behaviors with Overweight and Obesity among Older Adults from 21 Countries. Nutrients, 315 :)2(13.
DOI: 10.3390/nu13020315
European Social Survey (ESS)
Quantitative; longitudinal
https://www.europeansocialsurvey.org/data/
Marconcin, P., Matos, M. G., Ihle, A., Ferrari, G., Gouveia, É. R., López-Flores, M., Peralta, M., & Marques, A. (2021). Trends of Healthy Lifestyles Among Adolescents: An Analysis of More Than Half a Million Participants From 32 Countries Between 2006 and 2014. Frontiers in Pediatrics, 645074 :9. DOI: 10.3389/fped.2021.645074 Health Behavior in School-aged Children (HBSC)
Quantitative; longitudinal
https://www.uib.no/en/hbscdata
Marques, A., Henriques-Neto, D., Peralta, M., Marconcin, P., Gouveia, É. R., Ferrari, G., Martins, J., & Ihle, A. (2021). Exploring grip strength as a predictor of depression in middle-aged and older adults. Scientific Reports, 15946 :11. DOI: 10.1038/s7-95566-021-41598 Survey of Health, Aging, and Retirement in Europe (SHARE) Waves 4 and 6
Quantitative; longitudinal
DOIs: 10.6103/SHARE.w4.710 10.6103/SHARE.w6.710
Gouveia, É. R., Smailagic, A., Ihle, A., Marques, A., Gouveia, B. R., Cameirão, M., Sousa, H., Kliegel, M., & Siewiorek, D. (2021). The Efficacy of a Multicomponent Functional Fitness Program Based on Exergaming on Cognitive Functioning of Healthy Older Adults: A Randomized Controlled Trial. Journal of Aging and Physical Activity, 594-586 ,)4(29. DOI: 10.1123/japa.0083-2020 Augmented Human Assistance (AHA): Exergaming - A Multicomponent Functional Fitness Program
Quantitative; longitudinal
Data available upon request
Perna, L., Zhang, Y., Matías-García, P. R., Ladwig, K.-H., Wiechmann, T., Wild, B., Waldenberger, M., Schöttker, B., Mons, U., Ihle, A., Kliegel, M., Schwettmann, L., Peters, A., & Brenner, H. (2020). Subjective mental health, incidence of depressive symptoms in later life, and the role of epigenetics: results from two longitudinal cohort studies. Translational Psychiatry, 323 :10. DOI: 10.1038/s-00997-020-41398x ESTHER longitudinal cohort + KORA F4 study
Quantitative; longitudinal
Data available upon request
Perna, L., Zhang, Y., Wild, B., Kliegel, M., Ihle, A., Schöttker, B., Mons, U., & Brenner, H. (2020). Childhood exposure to hunger: Associations with health outcomes in later life and epigenetic markers. Epigenomics, 1870-1861 ,)21(12. DOI: 10.2217/epi-2019-0333 ESTHER longitudinal cohort
Quantitative; longitudinal
Data available upon request
Gouveia, É. R., Gouveia, B. R., Marques, A., Lopes, H., Rodrigues, A., Quintal, T., Pestana, M., Peralta, M., Kliegel, M., & Ihle, A. (2021). Estimation of Engagement In Moderate-to-Vigorous Physical Activity From Direct Observation: A Proposal for School Physical Education. Children, 67 :)2(8. DOI: 10.3390/children8020067 Physical Education in Schools from the Autonomous Region of Madeira (EFERAM-CIT)
Quantitative; longitudinal
Data available upon request
Aichele, S., Cekic, S., Rabbitt, P., & Ghisletta, P. (2021). Cognition-Mortality Associations Are More Pronounced When Estimated Jointly in Longitudinal and Time-to-Event Models. Frontiers in Psychology, ,12 708361. https://doi.org/10.3389/fpsyg.2021.708361 Manchester Longitudinal Study of Cognition https://www.neurodegenerationresearch.eu/cohort/longitudinal-study-of-cognitive-change-in-normal-healthy-old-age/
Fjell, A. M., Sørensen, Ø., Amlien, I. K., Bartrés-Faz, D., Brandmaier, A. M., Buchmann, N., Demuth, I., Drevon, C. A., Düzel, S., Ebmeier, K. P., Ghisletta, P., Idland, A.-V., Kietzmann, T. C., Kievit, R. A., Kühn, S., Lindenberger, U., Magnussen, F., Macià, D., Mowinckel, A. M., … Walhovd, K. B. (2021). Poor self-reported sleep is related to regional cortical thinning in aging but not memory decline—Results from the Lifebrain Consortium. Cerebral Cortex, 1969–1953 ,)4(31. https://doi.org/10.1093/cercor/bhaa332 Lifebrain https://www.lifebrain.uio.no/
Sørensen, Ø., Brandmaier, A. M., Macià, D., Ebmeier, K., Ghisletta, P., Kievit, R. A., Mowinckel, A. M., Walhovd, K. B., Westerhausen, R., & Fjell, A. (2021). Meta-analysis of generalized additive models in neuroimaging studies. NeuroImage, 117416 ,224. https://doi.org/10.1016/j.neuroimage.2020.117416 Lifebrain https://www.lifebrain.uio.no/

 

Reference Data collection / Data type Dataset / source
Oesch, D. and Vigna, N. (2022) A decline in the social status of the working class? Conflicting evidence for 8 western countries, 1987–2017. Comparative Political Studies 55(7): 1130-1157 Cross national, quantitative data (a) International Social Survey Program (ISSP) - http://www.issp.org/menutop/home/
(b) European Social Survey (ESS) -  https://www.europeansocialsurvey.org/
Di Nallo, A., Lipps, O., Oesch, D. and Voorpostel, M. (2022) The effect of unemployment on couples separating in Germany and the UK. Journal of Marriage and Family 84(1): 310-329

Analyse quantitative et longitudinale

a) German Socio-Economic Panel (SOEP), Longitudinal quantitative panel data, https://www.diw.de/en/diw_01.c.615551.en/research_infrastructure__socio-economic_panel__soep.html
b) British Household Panel Survey (BHPS), Longitudinal quantitative panel data, http://doi.org/10.5255/UKDA-SN-5151-2
c) Understanding Society: The UK Household Longitudinal Survey (UHHLS), Longitudinal quantitative
panel data, http://doi.org/10.5255/UKDA-SN-6614-9

Moawad, J. (2022). Labour market prospects of young adults in Europe: differential effects of social origin during the Great Recession. European Societies, 1-27 Cross national, quantitative data (a) European Statistics on Income and Living Conditions (EU-SILC) - Cross national, quantitative data; https://ec.europa.eu/eurostat/web/microdata/european-union-statistics-on-income-and-living-conditions
(b) European Social Survey (ESS) - Quantitative data; cross national;  https://www.europeansocialsurvey.org
Di Nallo, A. and Oesch, D. (2021) No Stratified Effect of Unemployment on Incomes: How the Market, State, and Household Compensate for Income Loss in the United Kingdom and Switzerland, European Sociological Review, 37(5): 783–798 Analyse quantitative et longitudinale a) Swiss Household Panel, Longitudinal quantitative panel data, https://doi.org/10.23662/FORS-DS-932-4
b) British Household Panel Survey (BHPS), Longitudinal quantitative panel data, http://doi.org/10.5255/UKDA-SN-5151-2
c)Understanding Society: The UK Household Longitudinal Survey (UHHLS), Longitudinal quantitative
panel data, http://doi.org/10.5255/UKDA-SN-6614-9
Combet, B. and Oesch, D. (2021) The social-origin gap in university graduation by gender and immigrant status: a cohort analysis for Switzerland, Longitudinal and Life Course Studies 12(2): 119-146 Analyse quantitative et longitudinale
Transition from Education to Employment (TREE), Longitudinal quantitative panel data
https://www.tree.unibe.ch/index_eng.html
Fossati, F., & Trein, J. P. (2020). Cobbler stick to your last? Social democrats’ electoral returns from labour market policy. Journal of Social Policy. https://serval.unil.ch/notice/serval:BIB_01EFB2B3DD19 German post-election survey https://www.gesis.org/en/elections-home/gles/
Cheval, B., Chabert, C., Sieber, S., Orsholits, D., Copper, R., Guessous, I., Blane, D., Kliegel, M., Courvoisier, D., Kelly-Irving, M., Boisgontier, M., & Cullati, S. (2019). Association between adverse childhood experiences and muscle strength in older age. Gerontology, 65, 474–484. Longitudinal survey of Health, Ageing and Retirement in Europe (SHARE) http://www.share-project.org/home0.html
Eyjólfsdóttir, H. S., Baumann, I., Agahi, N., Fritzell, J., & Lennartsson, C. (2019). Prolongation of working life and its effect on mortality and health in older adults: Propensity score matching. Social Science & Medicine, 226, 77–86. https://doi.org/10.1016/j.socscimed.2019.02.026 Swedish Level of Living Survey (LNU) https://www.sofi.su.se/english/2.17851/research/three-research-units/lnu-level-of-living/the-swedish-level-of-living-survey-lnu-1.65112
     
Korber, M., (2019). Does vocational education give a labour market advantage over the whole career? A comparison of the United Kingdom and Switzerland. Social Inclusion, 7(3), 202–223. https://doi.org/10.17645/si.v7i3.2030 UK Labour force survey, Swiss Labour force survey https://www.ons.gov.uk/surveys/informationforhouseholdsandindividuals/
Korber, M., & Oesch, D. (2019). Vocational versus general education: Employment and earnings over the life course in Switzerland. Advances in Life Course Research, 40, 1–13. https://doi.org/10.1016/j.alcr.2019.03.003 Labour force survey, longitudinal household panel https://www.bfs.admin.ch/bfs/fr/home/statistiques/travail-remuneration/enquetes/espa.html

https://forscenter.ch/projects/swiss-household-panel/?lang=fr
Madero-Cabib, I., Corna, L., & Baumann, I. (2019). Aging in different welfare contexts: A comparative perspective on later-life employment and health. The Journals of Gerontology: Series B. Advance online publication. https://doi.org/10.1093/geronb/gbz037    ELSA, EPS, HRS, SHARE Chilean Social Protection Survey (EPA),
English Longitudinal Study of Ageing (ELSA),
American Health and Retirement Study (HRS); Survey of Health, Ageing and Retirement in Europe (SHARE)
https://www.previsionsocial.gob.cl/sps/biblioteca/encuesta-de-proteccion-social/

https://www.elsa-project.ac.uk/

https://hrs.isr.umich.edu/about

http://www.share-project.org/home0.htm
McDonald, P. (2019). The male marriage premium: Selection, productivity, or employer preferences? Evidence from panel data and a survey experiment. LIVES Working Paper, 75, 1–38. http://dx.doi.org/10.12682/lives.2296-1658.2019.75 Swiss Household Panel (SHP) https://forscenter.ch/projects/swiss-household-panel/

 

Reference Data collection / Data type Dataset / source
Potarca, G., & Bernardi, L. (2018). The (un)healthy migrant effect: The role of legal status and naturalization timing. In R. Tillmann, M. Voorpostel, & P. Farago (Eds.), Social dynamics in Swiss society: Empirical studies based on the Swiss Household Panel (Springer, pp. 79–93). Springer International Publishing. https://doi.org/10.1007/978-3-319-89557-4_6 Swiss Household Panel, longitudinal quantitative data https://forscenter.ch/projects/swiss-household-panel/
Garriga, A., & Bernardi, L. (n.d.). Custody arrangements and social inequalities among children. Revue Des Politiques Sociales et Familiales. Health Behaviour in School-aged Children’ (HBSC), cross-sectional quantitative data http://www.hbsc.org/
Recksiedler, C., & Bernardi, L. (2019). Lone Mothers’ Repartnering Trajectories and Health: Does the Welfare Context Matter? Journal of Family Issues, 40(17), 2582–2604. https://doi.org/10.1177/0192513X19860175 Name of the secondary data-archive: Generation and Gender Survey; British Household Panel Survey; Swiss Federal Families and Generations Survey (FGS), cross-sectional quantitative data https://www.ggp-i.org  ; https://www.iser.essex.ac.uk/bhps/;  https://www.bfs.admin.ch/bfs/en/home/statistics/population/surveys/efg.html
Sapin, M., Joye, D., Wolf, C., & in collaboration with Johannes Andersen, Yanjie Bian, Ali Carkoglu, Yang-Chi Fu, Ersin Kalaycioglu, Peter V. Marsden, and Tom W. Smith. (2020). The ISSP 2017 social networks and social resources module. International Journal of Sociology, 50(1), 1–25. https://doi.org/10.1080/00207659.2020.1712157 International Social Survey Program (ISSP)  - 2017 Social Networks and Social Resources module, Cross national quantitative data http://www.issp.org/menu-top/home/
Sánchez-Mira, N., & O’Reilly, J. (2018). Household employment and the crisis in Europe. Work, Employment and Society. https://doi.org/10.1177/0950017018809324 EU Statistics on Income and Living Conditions, Cross national, cross sectional data https://ec.europa.eu/eurostat/web/microdata/european-union-statistics-on-income-and-living-conditions
Zufferey, M.-E., Girardin, M., Ganjour, O., & Rossier, C. (n.d.). Les modes de garde après séparation: Conditions et conséquences sur les relations familiales (Sociograph-Sociological Research Studies). Université de Genève. « Step out : Social Capital and Family Processes As Predictors of Stepfamily Outcomes», qualitative data Study funded by FNS (no° 122413)
Rossier, C., Soura, A., & Duthé, G. (Eds.). (2018). Inégalités de santé à Ouagadougou: Résultats d’un observatoire de population urbaine au Burkina Faso (INED). INED. https://www.ined.fr/fr/actualites/presse/inegalites-de-sante-a-ouagadougou-resultats-dun-observatoire-de-population-urbaine-au-burkina-faso/ Ouagadougou Health and Demographic Surveillance System – OUAGA HDSS, Quantitative: cross-sectional (special surveys) and longitudinal (surveillance) http://www.issp02.issp.bf/opo/English/Convention/Acces-donnees.html ; access to data is granted to scientific entities upon certain conditions, a form has to be filled.
Duthé, G., Soura, A., & Rossier, C. (2019). Conclusion—Rossier. In Clémentine Rossier, A. Soura, & G. Duthé (Eds.), Inégalités de santé à Ouagadougou. Résultats d’un observatoire de population urbain au Burkina Faso (INED, pp. 245–261). INED. https://www.ined.fr/fr/actualites/presse/inegalites-de-sante-a-ouagadougou-resultats-dun-observatoire-de-population-urbaine-au-burkina-faso/ idem idem
Rossier, Clementine. (2019). Introduction—Rossier. In Clémentine Rossier, A. Soura, & G. Duthé (Eds.), Inégalités de santé à Ouagadougou. Résultats d’un observatoire de population urbain au Burkina Faso (INED, pp. 11–36). INED. https://www.ined.fr/fr/actualites/presse/inegalites-de-sante-a-ouagadougou-resultats-dun-observatoire-de-population-urbaine-au-burkina-faso/ idem idem
Rossier, Clémentine. (2019). La santé reproductive en milieu urbain africain: Quels progrès restent à faire? In Clementine Rossier, A. Soura, & G. Duthé (Eds.), Inégalités de santé à Ouagadougou. Résultats d’un observatoire de population urbain au Burkina Faso (INED, pp. 141–169). INED. https://www.ined.fr/fr/actualites/presse/inegalites-de-sante-a-ouagadougou-resultats-dun-observatoire-de-population-urbaine-au-burkina-faso/ idem idem
Rossier, Clémentine, & Peytrignet, M.-C. (2019). Pauvreté et santé dans les quartiers de l’OPO : Une approche qualitative. In Clémentine Rossier, A. Soura, & G. Duthé (Eds.), Inégalités de santé à Ouagadougou. Résultats d’un observatoire de population urbain au Burkina Faso (INED, pp. 71–100). INED. https://www.ined.fr/fr/actualites/presse/inegalites-de-sante-a-ouagadougou-resultats-dun-observatoire-de-population-urbaine-au-burkina-faso/ idem idem

 

Reference Data collection / Data type Dataset / source
Levin, N., Braunstein-Bercovitz, H., Lipshits-Braziler, Y., Gati, I., & Rossier, J. (2020). Testing the structure of the career decision-making difficulties questionnaire across country, gender, age, and decision status. Journal of Vocational Behavior, 116(Part A). https://doi.org/10.1016/j.jvb.2019.103365 Quantitative data The data is not archived. Contac: first author.
Udayar, S., Levin, N., Lipshits-Braziler, Y., Rochat, S., Di Fabio, A., Gati, I., Sovet, L., & Rossier, J. (2020). Difficulties in career decision making and self-evaluations: A meta-analysis. Journal of Career Assessment, 106907272091008. https://doi.org/10.1177/1069072720910089 Quantitative data, meta-analysis Data is obtained from the published literature
Hanoch, Y., Rolison, J. J., & Freund, A. M. (2018).  Reaping the benefits and avoiding the risks: Unrealistic optimism in the health domain. Risk Analysis: An International Journal. DOI: 10.1111/risa.13204 Quantitative data Collected by the main authors in the UK
Best, R., & Freund, A. M. (2018). Age, loss minimization, and the role of probability for decisionmaking. Gerontology, 64, 475-484. doi:10.1159/000487636 Quantitative data Produced one of the Master students

 

Reference Data collection / Data type Dataset / source
Berchtold, A. (2022). Relationship between the COVID-19 Pandemic and the Well-Being of Adolescents and Their Parents in Switzerland. International Journal of Environmental Research and Public Health, 19 (11) p. 6789 Swiss Household Panel (longitudinal data) https://forscenter.ch/projects/swiss-household-panel/

Rouzino, S., Berchtold, A. (2022) Regression-Based Approach to Test Missing Data Mechanisms. Data, 7 (2) p. 16.

 

Data from the first wave of the LIVES Professional Path Survey (so crossectional data since only wave 1 was used) https://www.swissubase.ch/en/catalogue/studies/12734/latest/datasets/836/1179/overview
Diatta ID, Berchtold A. Substance use as a function of activity level among young Swiss men. Swiss Med Wkly. 2020;150:w20197. Published 2020 Mar 22. https://doi.org/10.4414/smw.2020.20197 Analyse quantitative et transversale C-SURF, https://www.c-surf.ch
Bolano, D. (2020). Handling Covariates in Markovian Models with a Mixture Transition Distribution Based Approach. Symmetry, 12(4), 558. https://doi.org/10.3390/sym12040558 Analyse longitudinale Swiss Household Panel https://forscenter.ch/projects/swiss-household-panel/
Ghisletta, P., Mason, F., von Oertzen, T., Hertzog, C., Nilsson, L.-G., & Lindenberger, U. (2020). On the use of growth models to study normal cognitive aging. International Journal of Behavioral Development, 44(1), 88–96. https://doi.org/10.1177/0165025419851576 BETULA, Analyse quantitative et longitudinale https://www.umu.se/en/research/projects/betula---aging-memory-and-dementia/
Orsholits, D., Studer, M., & Ritschard, G.. (2019). The great recession and trajectories of vulnerability to unemployment in the UK and Switzerland. LIVES Working paper, 79, 1-31. doi: http://dx.doi.org/10.12682/lives.2296-1658.2019.79 Analyse quantitative et longitudinale a) Swiss Household Panel, Longitudinal quantitative panel data, https://doi.org/10.23662/FORS-DS-932-4
b) British Household Panel Survey, Longitudinal quantitative panel data, http://doi.org/10.5255/UKDA-SN-5151-2
c)Understanding Society: The UK Household Longitudinal Survey, Longitudinal quantitative panel data, http://doi.org/10.5255/UKDA-SN-6614-9