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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