MOSAiCH COVID-19. Measurement and Observation of Social Attitudes in Switzerland 2020. Study on Environment and related topics - COVID-19 complement Wave 1+2+3_BETA Version

Ref. 1206

Dataset Overview

A newer version of this dataset is available here

If you still want to download this older version, please contact the following data service: dataservice@fors.unil.ch

Dataset title

MOSAiCH COVID-19. Measurement and Observation of Social Attitudes in Switzerland 2020. Study on Environment and related topics - COVID-19 complement Wave 1+2+3_BETA Version

Dataset description language

English

Dataset Description

The dataset also includes information from the first part of the MOSAiCH 2020 survey, namely sociodemographic information and some attitudinal questions of interest for the COVID-19 survey such as repeated questions. Be aware that this is a BETA version. There still might be errors and the number of cases is not final.

Remarks about the documentation

-

System version number

2.0

Embargo end date

10.09.2020

Publication date

25.06.2021

Version notes

Changes on Wave 1: - addition of cases (answers after 2 June 2020) - suppression of cases including no substantial answer on COVID questions - variable ES03a_wp2 renamed ES09a_wp2 (to be identical with MOSAiCH 2020 data) - EDU1 categories reordered - HH5v2 further plausibilised - 4 additional variables to indicate complete 'No answers' on the multiple choice questions on work situations (from sitresp to futpart) - corrections in labels Addition of Wave 2

Bibliographical citation

Michèle Ernst Stähli, Karin Nisple, Gian-Andrea Monsch, Franziska Ehrler, Michael Ochsner, Alexandre Pollien, Marlène Sapin: MOSAiCH COVID-19. Measurement and Observation of Social Attitudes in Switzerland 2020. Study on Environment and related topics - COVID-19 complement Wave 1+2+3_BETA Version [Dataset]. FORS - Centre de compétences suisse en sciences sociales. Distributed by FORS, Lausanne, 2021.

DIP MD5 hash

03f88a7c691592466073774d2a2c396e

Dataset contents

swissubase_1206_2_0.zip