GENERAL INFORMATION

1. Title of Dataset: 

  Perceived changes in capability during the COVID-19 pandemic: A Swedish cross-sectional study from June 2020 


2. Author Information


  A. Corresponding Author Contact Information

    Name: Kaspar Meili	

    Institution: Department of Epidemiology and Global Health, Umeå University

    Address: Department of Epidemiology and Global Health, Umeå University, 901 87 Umeå

    Email: kaspar.meili@umu.se, meilikaspar@yahoo.de


  B. First Author Contact Information

    Name: Anna Månsdotter

    Institution: Department of Epidemiology and Global Health, Umeå University

    Address: Department of Epidemiology and Global Health, Umeå University, 901 87 Umeå

    Email: anna.mansdotter@umu.se

		
  C. Principal Investigator Contact Information

    Name: Lars Lindholm

    Institution: Department of Epidemiology and Global Health, Umeå University

    Address: Department of Epidemiology and Global Health, Umeå University, 901 87 Umeå

    Email: lars.lindholm@umu.se



3. Date of data collection (format YYYY-MM-DD): 

  2020-05-22 until 2020-07-06

4. Geographic location of data collection: 

   Sweden

5. Funding sources that supported the collection of the data: 

  Research Council for Health, Working life, and Welfare (Forte) No 2018-00143



SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: 

   Data available upon request

2. Links to publications that cite or use the data: 

  https://doi.org/10.1177/14034948211023633
  http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-185846

3. Links to other publicly accessible locations of the data: 

  None

4. Recommended citation for this dataset: 

  Kaspar Meili, Håkan Jonsson, Lars Lindholm, Anna Månsdotter, 
  CALY Project
  Department of Epidemiology and Global Health
  Umeå University



DATA & FILE OVERVIEW

1. File List: 

  capability_change_covid19.csv - Contains the data on self-reported background variables, capability levels and perceived changes. 
  readme.txt - Information on licensing and metadata
  questions.txt - Survey questions in Swedish and English 



METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 

  Cross-sectional internet-based survey among quota-sampled participants (after representative population proportions of gender, region, age) recruited via a commercial web panel. 

2. Methods for processing the data: 

  Minimal processing. This is a minimal dataset with randomized id. 


3. People involved with sample collection, processing, analysis and/or submission: 

  Kaspar Meili
  Anna Månsdotter
  Lars Lindholm



DATA-SPECIFIC INFORMATION FOR: capability_change_covid19.csv


1. Number of variables: 42 (corresponds to 42 data columns)


2. Number of cases/rows: 498


3. Variable List: 

  One row corresponds to the answers of one survey  participant. See questions.txt for a the translated phrasing of the questions. 
  Following the list of variables. Similar variables are listed on the same line of text. 

  id: Random id for a participant, numeric

  age: Numeric. 

  gender: String, categorical. One of 'Man', 'Woman', 'None of these' or 'Optout'

  education: String, ordinal. One of '<9 years in school', 'Elementary (9 years)', 'High school (12 years)', 'University/vocational', 'Optout'

  monthlyincome: String, ordinal. '<30k SEK', '30k-50k SEK', '>50k SEK', 'Optout'

  home: String, categorical. One of 'Owns apartment', 'Owns house', 'Other', 'Rent', 'Rent sublease', 'Homeless', 'Optout'

  municipality: String, ordinal. One of '<20k residents', '20k-100k residents', '>100k residents', 'Big city'

  regionname: String, categorical. One of 'West Sweden', 'East Middle Sweden', 'Stockholm', 'North Middle Sweden', 'Upper Norrland', 'South Sweden', 'Småland and the islands', 'Middle Norrland'. Corresponds to the Nomenclature of Territorial Units for Statistics (NUTS-2) national areas.  

  birthplace: String, categorical. One of 'Sweden', 'Africa', 'Other Europe', 'Asia', 'Rest of the world'

  ls_alone, ls_wpartner, ls_wchild, ls_wrelative, ls_other, ls_optout: Corresponds to checkboxes of living status multiple choice question. String, categorical. One of 'Yes', 'No', 'Optout'

  cat_age: String, ordinal. One of '[18,30]', '[31,48]', '[49,64]', '[65,99]'

  cat_inc: String, ordinal. One of '<30k SEK', '>=30k SEK', 'Optout'

  cat_edu: String, ordinal. One of '<=9 years', '9-12 years', '>12 years', 'Optout'

  cat_ls: String, categorical. One of 'Alone', 'Not alone', 'Optout'

  cat_home: String, categorical. One of 'Own', 'Other', 'Rent', 'Optout'

  cat_region: String, categorical. One of 'North', 'South', 'NA'

  cat_birthplace: String, categorical. One of 'Sweden', 'Outside Europe', 'Other Europe'

  s_fin, s_health, s_know, s_occu, s_socrel, s_home, s_secu, s_tbalance, s_livenv, s_polres: Answers to self-rated capability statements. String, ordinal. One of 'Not', 'Part', 'Comp'

  c_fin, c_health, c_know, c_occu, c_socrel, c_home, c_secu, c_tbalance, c_livenv, c_polres: Perceived change in capabilility. String, ordinal. One of 'Muchless', 'Less', 'Unchanged', 'Higher', 'Muchhigher'


4. Missing data codes: 

  NA - Not available, only applicable for regionname and regionname_cat data that was provided by the panel. All other questions required explicitly opting out. 


6. Specialized formats or other abbreviations used: 

  Prefixes: 
    cat_ for categorized variables
    s_ for self-rated capability
    c_ for perceived change