Update 'filtered_data/filtered_data_info.txt'

filtered_data/filtered_data_info.txt

@@ -1,38 +1,46 @@
-1. study1_data.mat, variables:
-
-	-'study1_vars' = structure containing fields which correspond to names of other variables in the file (e.g., 'demographics1')
-		-each field contains a cell array, with each cell denoting a column name of the matrix stored in the variable
-
-	-'demographics1' = matrix (nSubjects x nDemographicVars) of demographic data (ethnicity, sex, age, education, income, relationship status, # in household)
-
-	-'covariates1' = matrix (nSubjects x nVars) of control covariates (objective isolation, depressive symptomatology, and anxiety)
-
-	-X1 = loneliness data (nSubjects x loneliness dimension (intimate, relational, collective, total))
-
-	-Y1 = interpersonal distance preferences (nSubjects x space dimension (intimate, relational, collective, stranger)
-
-	-circle_num1 = the # of individuals each subject includes in social dimensions (nSubjects x nDimensions (intimate, relational, collective, stranger))
-
-	-circle_cats1 = a structure containing counts of relationship types for each social dimension
-
-2. study2_data.mat, variables are the same as study1_data, except '2' is used instead of '1' to denote Study 2
-
-	-Y2b is the same as Y2, except that data comes from a continuous sliding scale measure of interpersonal distance preference, rather than an ordinal scale
-
-3. study1_data_4R.txt:
-
-	-a comma delimited text file for importing filtered Study 1 data to R
-
-	-columns include: y (Interpersonal Distance Preference), subject (subject number), circle (social dimension), 
-		lone (total loneliness scores), iso (objective isolation), dep (depressive symptomatology), anx (anxiety), 
-		married (1 = married/civil union/cohabiting, 2 = single/divorced/widowed/separated), lonefactor (intimate, relational, & collective loneliness factors),
-		sex (0 = female, 1 = male), age, edu (education level, see manuscript), income, romantic (1 = has romantic partner, 0 = does not)
-
-4. study2_data_4R_wStranger.txt:
-
-	-a comma delimited text file for importing filtered Study 2 data to R
-
-	-in addition to variables/columns included for study1_data_4R, also includes:
-
-		y_interval (interval scale interpersonal distance preference), close (social closeness - feeling close), prefClose (preference for social closeness),
-		freqCont (frequency of contact - behaving close), prefCont (contact frequency preference), IOS (self-other overlap)
+1. study1_data.mat, variables:
+
+	-'study1_vars' = structure containing fields which correspond to names of other variables in the file (e.g., 'demographics1')
+		-each field contains a cell array, with each cell denoting a column name of the matrix stored in the variable
+
+	-'demographics1' = matrix (nSubjects x nDemographicVars) of demographic data (ethnicity, sex, age, education, income, relationship status, # in household)
+
+	-'covariates1' = matrix (nSubjects x nVars) of control covariates (objective isolation, depressive symptomatology, and anxiety)
+
+	-X1 = loneliness data (nSubjects x loneliness dimension (intimate, relational, collective, total))
+
+	-Y1 = interpersonal distance preferences (nSubjects x space dimension (intimate, relational, collective, stranger)
+
+	-circle_num1 = the # of individuals each subject includes in social dimensions (nSubjects x nDimensions (intimate, relational, collective, stranger))
+
+	-circle_cats1 = a structure containing counts of relationship types for each social dimension
+
+2. study2_data.mat, variables are the same as study1_data, except '2' is used instead of '1' to denote Study 2
+
+	-Y2b is the same as Y2, except that data comes from a continuous sliding scale measure of interpersonal distance preference, rather than an ordinal scale
+
+3. study1_data_4R.txt:
+
+	-a comma delimited text file for importing filtered Study 1 data to R
+
+	-columns include: y (Interpersonal Distance Preference), subject (subject number), circle (social dimension), 
+		lone (total loneliness scores), iso (objective isolation), dep (depressive symptomatology), anx (anxiety), 
+		married (1 = married/civil union/cohabiting, 2 = single/divorced/widowed/separated), lonefactor (intimate, relational, & collective loneliness factors),
+		sex (0 = female, 1 = male), age, edu (education level, see manuscript), income, romantic (1 = has romantic partner, 0 = does not)
+
+4. study2_data_4R_wStranger.txt:
+
+	-a comma delimited text file for importing filtered Study 2 data to R
+
+	-in addition to variables/columns included for study1_data_4R, also includes:
+
+		y_interval (interval scale interpersonal distance preference), close (social closeness - feeling close), prefClose (preference for social closeness),
+		freqCont (frequency of contact - behaving close), prefCont (contact frequency preference), IOS (self-other overlap)
+        
+5. study2_ind_data_4R.txt:
+
+	-a comma delimited text file for importing filtered Study 2 data to R, w/ similarly named columns to the previous 2 .txt data files
+    
+    -notably, this data was only used for the Supplementary Materials section, "Extension of Findings to Individual-specific Measures"
+    
+    -each observation represents ratings provided in relation to a specific individual in a participant's life, rather than to aggregate social dimensions (as in previous analyses)