The University of Sheffield
Browse

File(s) under embargo

Reason: We have just started working on a few publications from the project and would like to give other interested researchers access to data files after we manage to finalise a few more papers.

1

month(s)

until file(s) become available

Polish Migrant Essential Workers in the UK during COVID-19: Survey Data, 2021

Version 2 2023-07-27, 23:12
Version 1 2023-07-26, 09:33
dataset
posted on 2023-07-27, 23:12 authored by Aneta PiekutAneta Piekut, Anna Gawlewicz, Kasia Narkowicz, Sharon Wright, Paulina Trevena, Thi Phuong Linh Le

This data was generated in an online survey with Polish migrant essential workers (PMEW) living in the United Kingdom (UK) during the Covid-19 pandemic. It consists of two datasets. The first dataset - which we called ‘PMEW Clickers’ - contains data for all survey participants (observations: 2,061; variables: 115), while the second dataset contains only valid responses, that is responses from participants who answered at least 60% of the core survey questions (observations: 1,105; variables: 113), and we called it ‘PMEW Respondents’.

The survey fieldwork was conducted online during the Covid-19 pandemic between 22 February and 12 April 2021, following the third UK-wide Covid-19 lockdown. The responses were collected using a standardised questionnaire published in two languages: Polish and English. The survey relied on a variety of non-probability and convenience sampling techniques suitable to recruit so called ‘hard-to-reach’ populations. The largest part of responses - two thirds - came from participants recruited via a dedicated Facebook advertisement campaign targeting Polish migrants in the UK who were active users of the Facebook social media at that time.

The broad aim of the survey was to find out which spheres of life of PMEW were affected most by the pandemic, that is since March 2020. Overall, the survey was divided into 10 thematic blocks of questions and consisted of 40 questions. The questionnaire covered such topics as: employment situation and work experiences during the pandemic, health impacts of Covid-19 pandemic, household and caring responsibilities, economic impacts of the Covid-19 pandemic, migration status and stay plans and demographic profile (gender, age, migration legal status, length of residency, education, income). The online nature of the survey allowed us to collect additional passive data improving data usability. For example, variables generated through passive data collection recorded where our respondents came from (Facebook ads, project website, partner organisation help), which Facebook ad they clicked on to access the survey, or what was the language – Polish or English – of the questionnaire they filled in.

This data repository includes a detailed methodological report (PMEW Technical report) presenting the survey design and post-fieldwork data preparation, two codebooks overviewing both datasets and questionnaires in two languages - all files were saved in a variety of commonly used and open formats. The datasets were saved in SPSS *.sav format, which can be imported to a number of statistical programmes, and as an open data format *.csv file.

The research received ethical approval from the University of Glasgow (400200070) and the University of Sheffield (037633).

Please read the README file in the linked metadata record for a more detailed description of the content of this repository.

Funding

Health, social, economic and cultural impacts of COVID-19 on migrant essential workers in the UK

UK Research and Innovation

Find out more...

History

Ethics

  • The project has ethical approval and the number is included in the description field

Policy

  • The data complies with the institution and funders' policies on access and sharing

Sharing and access restrictions

  • An appropriate embargo period has been set

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • There is a file including methodology, headings and units, such as a readme.txt
  • Headings and units are explained in the files

Usage metrics

    Sheffield Methods Institute

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC