GENERAL INFORMATION



1. Title of Dataset: 

  An Initiative to Develop Capability-Adjusted Life Years (CALYs) in Sweden


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: Kaspar Meili

    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 2022-06-06

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: 

  CC BY 4.0

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

  None

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

  None

4. Recommended citation for this dataset: 


  Kaspar Walter Meili, Anna Månsdotter, Linda Richter Sundberg, Jan Hjelte, Lars Lindholm, 
  CALY Project
  Department of Epidemiology and Global Health
  Umeå University


DATA & FILE OVERVIEW



1. File List: 

  data_frequency_A.csv- Contains the data on self-reported background variables, inequality aversion, and capability levels for phrasing version A
  data_frequency_B.csv- Contains the data on self-reported background variables, inequality aversion, and capability levels for phrasing version B
  data_frequency_C.csv- Contains the data on self-reported background variables, inequality aversion, and capability levels for phrasing version C
  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, and education) 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: 26



2. Number of cases/rows: 1505 (A: 497, B: 503, C: 505)



3. Variable List: 


  One row corresponds to the answers of one survey  participant. See questions.txt for a the translated phrasing of the questions. 

  id: Random id for a participant, numeric

  version: Version of the survey. A, B, or C version. 

  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 'Övre Norrland', 'Västra Mellansverige', 'Sydsverige', 'Stockholm', 'Småland med Öarna', 'Västsverige', 'Mellersta Norrland', 'Norra Mellansverige', 'NA'

  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]'

  ineq_education: String ordinal. One of 'Difference too large', 'Difference acceptable'

  ineq_lexpectancy: String ordinal. One of 'Difference too large', 'Difference acceptable'

  ineq_salary: String ordinal. One of 'Difference too large', 'Difference acceptable', 'Difference too small'

  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'

4. Missing data codes: 

  NA - Not available, only applicable for region and region_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