Table 1 Respondent demographic distributions across treatment conditions.

From: Common measures of vaccination intention generate substantially different estimates that can reduce predictive validity

Demographic variable

Estimation sample

Treatment condition [M (SD)]

“No” First = 0

“No” First = 1

Unsure = 0

Unsure = 1

Respondent age

COVID-19 vaccine

28.42 (10.29)

28.45 (10.16)

28.77 (10.35)

28.28 (10.16)

COVID-19 booster

30.69 (10.58)

27.88 (9.56)

28.89 (9.81)

29.56 (10.48)

Influenza vaccine

30.71 (10.55)

27.88 (9.38)

27.18 (8.59)

30.29 (10.58)

Female (%)

COVID-19 vaccine

77.77 (41.59)

79.33 (40.50)

79.25 (40.57)

78.23 (41.27)

COVID-19 booster

69.23 (46.60)

70.69 (45.91)

71.05 (45.96)

69.44 (46.39)

Influenza vaccine

69.23 (46.60)

70.69 (45.91)

71.05 (45.96)

69.44 (46.39)

White (%)

COVID-19 vaccine

83.68 (36.96)

84.78 (35.93)

86.25 (34.45)

83.29 (37.31)

COVID-19 booster

80.77 (39.80)

82.76 (38.10)

81.58 (39.29)

81.94 (38.73)

Influenza vaccine

80.76 (39.79)

82.76 (38.10)

81.58 (39.29)

81.94 (38.73)

Back to article page