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Table 3 Primary respondent characteristics by shopping trip pattern (cluster)

From: Beyond the supermarket: analyzing household shopping trip patterns that include food at home and away from home retailers

Mean
(LSE)
Total Population Superstore (SS) Supermarket (SM) Mix Weighted
t-tests
SS
vs
SM
SS + SM vs
Mix
Female (%) 68.68 (1.10) 66.53 (2.38) 68.35 (3.78) 69.34 (1.48)   
Married (%) 46.23 (1.60) 41.77 (2.63) 39.97 (2.93) 49.28 (1.87)   **
Age
 Less than 35(%) 22.99 (1.22) 21.50 (1.41) 14.87 (2.40) 25.82 (1.76) * **
 36–59(%) 45.94 (1.53) 39.34 (2.70) 38.96 (3.33) 49.75 (1.69)   ***
 Over 60(%) 31.07 (1.42) 39.16 (3.09) 46.17 (3.97) 24.43 (1.73)   ***
Race
 African American (%) 11.22 (1.48) 9.99 (2.61) 10.28 (1.94) 11.82 (1.59)   
 Caucasian (%) 77.63 (1.90) 80.02 (3.75) 78.96 (2.66) 76.60 (2.05)   
 Other (%) 11.15 (1.17) 9.99 (1.98) 10.76 (1.58) 11.58 (1.29)   
Education
 Less Than High School (%) 9.29 (1.05) 12.58 (2.44) 11.96 (1.75) 7.64 (1.03)   **
 High School (%) 24.12 (1.44) 30.83 (2.70) 24.13 (2.00) 22.38 (1.76) * *
 Some College or Associates Degree (%) 33.27 (1.79) 33.13 (3.48) 30.59 (3.36) 34.12 (2.00)   
 College and More (%) 33.31 (2.11) 23.46 (2.87) 33.32 (3.55) 35.87 (2.64) * *
  1. Means of all variables are reported. The means of binary variables are reported as percentages (%). Primary respondents’ sex, marital status, race, and education are all self-reported. Education measures the highest level of education received
  2. Mix Cluster in which no single retailer type dominated shopping trip patterns
  3. LSE Linearized standard errors
  4. * = p < 0.05 ** = p < 0.01 *** = p < 0.001