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International Social Science Survey
- Academic, scientific, unbiased
- Director: Professor Jonathan Kelley

International Social Science Survey<br>- Academic, scientific, unbiased<br>- Director: Professor Jonathan Kelley
This survey is mainly about coronavirus – the novel coronavirus COVID-19 from Wuhan China that is now creating a pandemic throughout the world – and about income inequality and redistribution. We will explain everything carefully, but it is a hard survey and a long one, no doubt about that.

Your answers would be a real help to science. This is serious academic research and we are serious academics who are analyzing it.

This is also hopefully an interesting survey:

>> Two-thirds of those taking our last survey said they "definitely" or "mostly" enjoyed it.

>> One-third want us to email them brief reports summarizing the results (we will do that).

>> Two-thirds were willing to do follow-up survey a few months later. We will ask you to do follow-up surveys, mostly about coronavirus, every few weeks until the pandemic is over.

But be warned that this a hard survey, it takes a lot of thinking.

We need your opinions, and how things have gone with you.


This is also a long survey. We expect it will take about an hour and a half to do carefully.

If you are willing to help, we would love to hear from you – your views and your experiences are important and will make a real contribution to science.

>> Enjoy the survey. And thank you very much for helping!



WHO WE ARE

The ISSS is a nation-wide survey conducted by academic researchers. It is devoted to academic research in sociology, economics, and public policy. It is non profit and is not connected with any business, political party, or lobby group.

The ISSS was founded in 1984. We were originally at the University of Melbourne and the Australian National University and are now in the US and the UK. This is our 21st large national survey. The principal investigator is Professor Jonathan Kelley.

Copyright (c) 1993-2020 International Survey Center
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>> JUST GLANCE OVER THIS NEXT (IN GREEN) -- NO NEED TO READ IT CLOSELY.
It documents who we are – serious, widely published social scientists pursuing a long established research program on inequality.

Professor Jonathan Kelley

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Sociologist. Academic survey researcher, heavy duty quant. Cambridge BA, Berkeley PhD. 5 books; 120+ papers in ASR, AJS, Nature Biotechnology, BJS, APSR etc. Cited in the academic literature 7000+ times.

Previously Senior Fellow and Director of the International Survey Project, Institute of Advanced Studies, The Australian National University and Professorial Fellow, Melbourne Institute of Applied Economic and Social Research, the University of Melbourne. Now Adjunct Professor of Sociology, University of Nevada, Reno.

Some recent publications:
>> "Identifying the Best Times for Cognitive Functioning:" Frontiers in Human Neuroscience
>> "The New Income Inequality and Well-Being Paradigm" Social Science Research
>> "Strong Welfare States ...Public Opinion in 30 Countries" , Societies
>> "Prejudice, Exclusion and Economic Disadvantage: A Theory." Sociological Theory
>> "Communism, Capitalism, and Images of Class" Cross-cultural Research
>> "Societal Income Inequality and Individual Subjective Well-Being" Social Science Research
>> "Education Legitimates Income Inequality: Normative Beliefs." Polish Sociological Review
>> “Family Background and Education: China." Comparative Sociology
>> "Human Gains and Losses from Global Warming" Social Indicators Research
>> "Scholarly Culture and Occupational Success in 31 Societies." Comparative Sociology
>> "Scholarly culture ... and adult technology skills", Social Science Research



Stephanie Mock, PA-C Yale, medical consultant.                            

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>> If you are helping us to TEST THE SURVEY (thanks!) or JUST VISITING (welcome!):  You can answer the survey while pretending to be someone else if you want to, playing a role instead of giving your own views.
 

 

 

>> THIS  RESEARCH

The kind of research we do has some description, some narrative, and some history, but mainly has heavy duty quantitative analyses.

 

This diagram is an example, an analysis of well-being (happiness, utility), It shows the kind of research we plan to do with this survey. (It is from an earlier survey, before the coronavirus epidemic.)

>> Causal order in the diagram goes from left (causes) to right (consequences).

>> The arrows show statistically significant effects (some smaller,  some larger),  net of causally prior things.

>>  No arrow means no significant effect (except perhaps indirectly).  

For example, to understand well-being you need only understand someone's expectations for the national economy; understand how high they believe themselves to be in the income hierarchy ("perceived income rank");  and learn whether they are married.  Other things matter only indirectly by shaping those (which happens in numerous and complicated ways).

 

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This survey is underway in several countries. Just to be clear, are you going to be telling us about....

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