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  1. 1. study1_data.mat, variables:
  2. -study1_vars = structure containing fields which correspond to names of other variables in the file (e.g.,
  3. demographics1); the contents of each field is a cell array containing a description of the columns of the
  4. matrix stored in the variable
  5. -demographics1 = matrix (nSubjects x nDemographicVars) of demographic data (ethnicity, sex, age, education,
  6. income, relationship status, # in household)
  7. -covariates = matrix (nSubjects x nVars) of control covariates (objective isolation, depressive symptomatology,
  8. and anxiety)
  9. -X1 = loneliness data (nSubjects x loneliness dimension (intimate, relational, collective, total))
  10. -Y1 = interpersonal distance preferences (nSubjects x space dimension (intimate, relational, collective, stranger)
  11. -circle_num1 = the # of individuals each subject includes in social circles (nSubjects x dimensions (intimate,
  12. relational, collective, stranger)
  13. -circle_cats1 = a structure containing counts of relationship types for each social dimension
  14. 2. study2_data.mat, variables are the same as study1_data, except 2 is used to denote study 2
  15. -Y2b is the same as Y2, except that data comes from a continuous sliding scale measure rather than an ordinal
  16. scale