Science Advances

Supplementary Materials

This PDF file includes:

  • fig. S1. Sample chair trap in a Starbucks in Shanghai.
  • table S1. Are people in international chains more likely to be sitting alone?
  • table S2. Rice-wheat differences controlling for international chain.
  • table S3. Sitting alone and GDP.
  • table S4. Sitting alone and district-level data.
  • table S5. Basic predictors of chair moving.
  • table S6. City and district census predictors of chair moving.
  • table S7. International comparison of chair moving.
  • table S8. How well do other major theories of culture predict sitting alone?
  • table S9. How well do other major theories of culture predict chair moving?
  • table S10. Sitting alone models with stores nested in districts nested in cities.
  • table S11. Chair moving models with stores nested in districts nested in cities.
  • table S12. Chair moving models with stores nested in districts nested in cities.
  • section S1. Rice statistics
  • section S2. Chair moving
  • section S3. Controlling for observer
  • section S4. Hong Kong GDP per capita
  • section S5. Age in districts
  • section S6. Calculating effect sizes in GLMER
  • section S7. Graphing mean percent sitting alone
  • section S8. GDP per capita
  • section S9. Alternative predictors
  • section S10. Chair moving validity checks
  • section S11. Ethics statement
  • Reference (41)

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