Values in Transtiton? ― Ronald Inglehart gave an interview to the Russia Today TV channel (23.04.2017)
Martin Luther King famously said that the arc of history is bending toward justice - a statement sometimes dismissed as too idealistic but one that may actually have a basis in social science. More than thirty years of research by Ronald Inglehart suggest that, in the long run, democratisation, with its attendant social and legal justice, is inevitable. But how long is that long run? To discuss this, Oksana is joined by Ronald Inglehart, Academic Supervisor of Laboratory for Comparative Social Research at the Higher School of Economics (HSE) during XVIII April International Academic Conference on Economic and Social Development.
First day of the 7th LCSR International Workshop “Subjective Well-being and Growing Inequality across the Globe”
We are pleased to announce that the 7th LCSR International Workshop “Subjective Well-being and Growing Inequality across the Globe” started on Tuesday, 11 April at the HSE, Moscow. The Seminar is organized within the XVII April International Academic Conference at the HSE. The event will last until April 14.
Program of the 7th LCSR International Workshop «Subjective Well-being and Growing Inequality across the Globe» is now published on the site of the XVIII April International Academic Conference on Economic and Social Development (Moscow, 11-14 April, 2017).
Dr. Chris Welzel, LCSR's Chief Research Fellow, gave a TED talk titled "Moral Progress: Expanding the Human Mind" at the Leuphana University Lüneburg. Use the link to watch video.
On 20th and 21st of September Christian Welzel will give two lectures to the students of the HSE master’s programme 'Comparative Social Research'.
On Thursday, Prof. Kenneth Bollen addressed more complicated latent curve models. The lecturer talked about the between-group comparison of trajectories.
The 8th Day of the LCSR Summer School: Nonlinear Latent Curve Models Estimation & Conditional Latent Curve Models
On Wednesday, the participants learned how to estimate nonlinear latent curve models and found out more about conditional latent curve models.