
Jouni Kuha - Google Scholar
Journal of the Royal Statistical Society Series C: Applied Statistics 63 (2 …
Jouni Kuha - London School of Economics and Political Science
Jouni Kuha is a social statistician whose methodological research focuses on latent variable modelling, analysis of survey data, problems with measurement error and missing data, and other topics that are motivated by applications of statistics in the social sciences.
Reader, T. W., Mearns, K., Lopes, C., and Kuha. J. (2017). Organizational support for workforce health and employee safety citizenship behaviors: A social exchange relation-
LSE Statistics - Jouni Kuha - Research
2010年2月4日 · Kuha, J., Bukodi, E., and Goldthorpe, J. H. (2021). Mediation analysis for associations of categorical variables: The role of education in social class mobility in Britain . …
LSE Research - London School of Economics and Political Science
Jouni Kuha is Professor in the Department of Statistics at LSE. His research focuses on latent variable modelling, analysis of cross-national survey data and other topics that are motivated by applications of statistics in the social sciences.
LSE Statistics - Jouni Kuha
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Jouni Kuha's research works | The London School of Economics …
Jouni Kuha's 69 research works with 2,199 citations and 14,736 reads, including: Latent variable models for multivariate dyadic data with zero inflation: Analysis of...
Jouni Kuha (0000-0002-1156-8465) - ORCID
Jouni Kuha via DimensionsWizard Latent variable modelling of categorical data: Tools of analysis for cross-national surveys 2010-03-31 to 2012-09-29 | Grant
Author Page for Jouni Kuha - SSRN
European Social Survey (2012). ‘Policing by consent: Understanding the dynamics of police power and legitimacy’, ESS Country Specific Topline Results Series Issue 1 (UK). By Jackson, J., Hough, M., Bradford, B., Hohl, K. and Kuha, J.
Professor Jouni Kuha FBA | The British Academy
Professor Jouni Kuha FBA. Social statistics; statistical methods for the analysis of measurement problems; analysis of survey data; applications in the social sciences Elected 2021