Publications Using Understanding Society ALL up to 21 October 2020)
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UK Data Archive Study Number 6614 - Understanding Society Publications SN 6614 (Publications using Understanding Society ALL up to 21 October 2020) By principal investigator(s): Abbassian, L., Dokal, B., Joyce, L., Pudney, S., Kanabar, R., Gush, K., and Burton, J. (2019) How do participants understand and interpret questions about "retirement planning"?, Understanding Society Working Paper Series, No. 2019-10. Colchester: University of Essex. Institute for Social and Economic Research. Abbassian, L., Vousden, P., Coulter, A., Rajatileka, S., and Burton, J. (2019) The acceptability of collecting samples from Understanding Society participants for microbiome analysis, Understanding Society Working Paper Series, No. 2019-05. Colchester: University of Essex. Institute for Social and Economic Research. Aksoy, O., Bann, D., Fluharty, M.E., and Nandi, A. (2020) ‘Religiosity and mental wellbeing among members of majority and minority religions: findings from Understanding Society, The UK Household Longitudinal Study’, medRxiv. doi: 10.1101/2020.02.25.20027904 Al Baghal, T. (2016) The impact of dependent interviewing wording and survey factors on reporting of change, Understanding Society Working Paper Series, No. 2016-04. Colchester: University of Essex. Institute for Social and Economic Research. Al Baghal, T. (2016) Obtaining data linkage consent for children: factors influencing outcomes and potential biases, Understanding Society Working Paper Series, No. 2016-03. Colchester: University of Essex. Institute for Social and Economic Research. Al Baghal, T. (2016) ‘Obtaining data linkage consent for children: factors influencing outcomes and potential biases’, International Journal of Social Research Methodology, 19(6):623-643. doi: 10.1080/13645579.2015.1064635 Al Baghal, T. (2017) ‘Last year your answer was …: the impact of dependent interviewing wording and survey factors on reporting of change', Field Methods, 29(1):61-78. doi: 10.1177/1525822X16645073 Al Baghal, T. (2019) ‘The effect of online and mixed-mode measurement of cognitive ability', Social Science Computer Review, 37(1):89-103. doi: 10.1177/0894439317746328 Al Baghal, T. (2020) Linking survey and social media data, Understanding Society Working Paper Series, No. 2020-04. Colchester: University of Essex. Institute for Social and Economic Research. Al Baghal, T. (ed.), Al Baghal, T., Bryson, C., Fisher, H., Hanson, T., Jessop, C., … Sobolewska, M. (2018) Understanding Society Innovation Panel Wave 10: results from methodological 1 experiments, Understanding Society Working Paper Series, No. 2018-06. Colchester: University of Essex. Institute for Social and Economic Research. Al Baghal, T. (ed.) Allum, N., Auspurg, K., Blake, M., Booker, C.L. Crossley, T. F., … Winter, J. (2014) Understanding Society Innovation Panel Wave 6: results from methodological experiments, Understanding Society Working Paper Series, No. 2014-04. Colchester: University of Essex. Institute for Social and Economic Research. Al Baghal, T. (ed.) Blom, A.G., Burton, J., Booker, C.L., Cernat, A., Fairbrother, M., … Yan, T. (2015) Understanding Society Innovation Panel Wave 7: results from methodological experiments, Understanding Society Working Paper Series, No. 2015-03. Colchester: University of Essex. Institute for Social and Economic Research. Al Baghal, T. (ed.), Burton, J., Connelly, R., Couper, M.P., Crossley, T.F., De Vries, C., … Wenz, A. (2019) Understanding Society Innovation Panel Wave 11: results from methodological experiments, Understanding Society Working Paper Series, No. 2019-03. Colchester: University of Essex. Institute for Social and Economic Research. Al Baghal, T. (ed.) Creighton, M., Dykema, J., Gaia, A., Cernat, A., Garbarski, D., …Yan, T. (2016) Understanding Society Innovation Panel Wave 8: results from methodological experiments, Understanding Society Working Paper Series, No. 2016-02. Colchester: University of Essex. Institute for Social and Economic Research. Al Baghal, T. and Kelley, J. (2016) ‘The stability of mode preferences: implications for tailoring in longitudinal surveys’, methods, data, analyses, 10(2):143-166. doi: 10.12758/mda.2016.012 Al Baghal, T., Knies, G., and Burton, J. (2014) Linking administrative records to surveys: differences in the correlates to consent decisions, Understanding Society Working Paper Series, No. 2014-09. Colchester: University of Essex. Institute for Social and Economic Research. Al Baghal, T. and Lynn, P. (2014) Using motivational statements in web instrument design to reduce item missing rates in a mixed-mode context, Understanding Society Working Paper Series, No. 2014-02. Colchester: University of Essex. Institute for Social and Economic Research. Al Baghal, T. and Lynn, P. (2015) ‘Using motivational statements in web-instrument design to reduce item-missing rates in a mixed-mode context’, Public Opinion Quarterly, 79(2): 568- 579. doi: 10.1093/poq/nfv023 Al Baghal, T., Sloan, L., Jessop, C., Williams, M.L., and Burnap, P. (2019) ‘Linking Twitter and survey data: the impact of survey mode and demographics on consent rates across three UK studies', Social Science Computer Review. doi: 10.1177/0894439319828011 2 Allum, N., Conrad, F., and Wenz, A. (2018) ‘Consequences of mid-stream mode-switching in a panel survey’, Survey Research Methods, 12(1):43-58. doi: 10.18148/srm/2018.v12i1.6779 Altorjai, S. (2013) Over-qualification of immigrants in the UK, ISER Working Paper Series, No. 2013-11. Colchester: University of Essex. Institute for Social and Economic Research. Altorjai, S. (2015) Over-qualification, earnings and job satisfaction of immigrants in the UK - PhD thesis-. Colchester: University of Essex. Institute for Social and Economic Research. Amin, V., Böckerman, P., Viinikainen, J., Smart, M., Bao, Y., Kumari, M., … Pehkonen, J. (2017) ‘Gene-environment interactions between education and body mass: evidence from the UK and Finland’, Social Science and Medicine, 195:12-16. doi: 10.1016/j.socscimed.2017.10.027 Aschard, H., Tobin, M. D., Hancock, D. B., Skurnik, D., Sood, A., James, A., ... Kraft, P. (2017) ‘Evidence for large-scale gene-by-smoking interaction effects on pulmonary function', International Journal of Epidemiology, 46(3):894-904. doi: 10.1093/ije/dyw318 Auspurg, K., Iacovou, M., and Nicoletti, C. (2014) Housework share between partners: experimental evidence on gender identity, University of York Discussion Papers in Economics, No. 14/20. York: University of York. Department of Economics and Related Studies. Auspurg, K., Iacovou, M., and Nicoletti, C. (2015) Housework share between partners: experimental evidence on gender identity, ISER Working Paper Series, No. 2015-03. Colchester: University of Essex. Institute for Social and Economic Research. Auspurg, K., Iacovou, M., and Nicoletti, C. (2017) ' Housework share between partners: experimental evidence on gender-specific preferences', Social Science Research, 66:118-139. doi: 10.1016/j.ssresearch.2017.01.003 Avram, S. (2020) Labour market flexibility and unemployment duration: evidence from the UK, ISER Working Paper Series, No. 2020-11. Colchester: University of Essex. Institute for Social and Economic Research. Avram, S., Brewer, M., Fisher, P., and Fumagalli, L. (2019) Household income volatility in the UK, 2009-2017, Understanding Society Working Paper Series, No. 2019-07. Colchester: University of Essex. Institute for Social and Economic Research. Avram, S. and Harkness, S. (2018) The NMW/NLW and progression out of minimum wage jobs in the UK interim report: a report prepared for the Low Pay Commission. London: Low Pay Commission. Bao, Y., Clarke, P.S., Smart, M., and Kumari, M. (2018) A comparison of robust methods for Mendelian randomization using multiple genetic variants, ISER Working Paper Series, No. 2018-08. Colchester: University of Essex. Institute for Social and Economic Research. 3 Bao, Y., Clarke, P.S., Smart, M., and Kumari, M. (2019) ‘Assessing the robustness of sisVIVE in a Mendelian randomization study to estimate the causal effect of body mass index on income using multiple SNPs from understanding society', Statistics in Medicine, 38(9):1529- 1542. doi: 10.1002/sim.8066 Baselmans, B.M.L., Jansen, R., Ip, H.F., van Dongen, J., Abdellaoui, A., van de Weijer, M.P., … Bartels, M. (2017) ‘Multivariate genome-wide and integrated transcriptome and epigenome-wide analyses of the well-being spectrum’, bioRxiv. doi: 10.1101/115915 Baselmans, B.M.L., Jansen, R., Ip, H.F., van Dongen, J., Abdellaoui, A., van de Weijer, M.P., ... Bartels, M. (2019) ‘Multivariate genome-wide analyses of the well-being spectrum', Nature Genetics, 51:445-451. doi: 10.1038/s41588-018-0320-8 Bayrakdar, S. and Guveli, A. (2020) Inequalities in home learning and schools’ provision of distance teaching during school closure of COVID-19 lockdown in the UK, ISER Working Paper Series, No. 2020-09. Colchester: University of Essex. Institute for Social and Economic Research. Bentley, A.R., Sung, Y.J., Brown, M.R., Winkler, T.W., Kraja, A.T., Ntalla, I., ... Cupples, L.A. (2019) ‘Multi-ancestry genome-wide gene–smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids', Nature Genetics, 51:636-648. doi: 10.1038/s41588-019-0378-y Benzeval, M. (2016) ‘Introduction’ in M. Benzeval, R. Kanabar, N. Martin, V. Nolan, and R. Patel (eds.) Insights 2016: findings from the largest longitudinal study of UK households. Colchester: University of Essex. Institute for Social and Economic Research. p.7. Benzeval, M. (2019) Enhancing data around early life