Sweep Description

Title

Age 20 COVID-19 Survey (2020) Wave 2

Principal Investigator

Professor Alissa Goodman

Publisher

Centre for Longitudinal Studies, Institute of Education

Abstract

The COVID 19 Survey collects information from participants in 5 national cohort studies about how the Coronavirus epidemic has affected their lives. The data from the survey will help researchers understand the health, social, and economic impacts of the COVID-19 outbreak. It will be especially important for understanding how people at different life stages are being affected, and how prior life experiences shape resilience or vulnerability to its effects. 

By following participants’ lives into the future, the studies will be able to track the longer-term consequences of the pandemic too. The aim of the Wave 2 survey was to capture how participants’ lives had changed from Wave 1 (in May 2020) until late summer/early autumn 2020. The topic areas mirrored closely those for Wave 1, with additional questions about: health care, financial transfers, life events and Children’s schooling in summer and autumn term.

Study website: https://cls.ucl.ac.uk/covid-19-survey/content-and-data-wave-2/

LifeStage

Early adulthood

LifeStageDescription

19 - 30 years

Coverage

Date
September2020 - October2020
Geographical Coverage Description

United Kingdom

Highest Level
Country
Lowest Level
Postcode
Country
GB-ENG
Country
GB-WLS
Country
GB-SCT
Country
GB-NIR

Funding

Data

MCS Age 20 Cohort Member COVID-19 Survey - Wave 2

Name

mcs_covid_pq2

Label

MCS Age 20 Cohort Member COVID-19 Survey - Wave 2

Collection Organisation
Data Collection Date
September2020 - September2020
Mode of Data Collection

Computer-assisted web interviewing (CAWI). Data are collected using a web questionnaire, produced with a program for creating web surveys

MCS Age 20 Parent COVID 19 Survey - Wave 2

Name

mcs_covid_pq2

Label

MCS Age 20 Parent COVID 19 Survey - Wave 2

Collection Organisation
Data Collection Date
September2020 - September2020
Mode of Data Collection

Computer-assisted web interviewing (CAWI). Data are collected using a web questionnaire, produced with a program for creating web surveys