Table 2.

Ordinal logistic regression parameter estimates for predictors of willingness to pay for the MedSeq Project (n = 168) and college seniors (n = 782).

Variables	MedSeq Project, parameter estimate (SE)	College seniors, parameter estimate (SE)
Age (years):
≤21	n/a†	– ‡
22–29	n/a†	0.09 (0.15)
≥30	n/a†	0.10 (0.53)
≤50	−1.54 (0.62)*	n/a†
51–65	−1.25 (0.61)*	n/a†
≥66	–‡	n/a†
Female	−0.76 (0.33)*	−0.32 (0.15)*
College degree	0.87 (0.44)*	0.04 (0.18)
Annual household income ≥US$100,000§	0.44 (0.37)	0.62 (0.17)**
No previous genetic testing	−0.06 (0.37)	n/a†
Know someone who had genetic testing/had genetic testing done personally	n/a†	0.40 (0.17)*
Genomic knowledge score (MedSeq) and mean proportion of correct genomic knowledge questions (college seniors)	0.31 (0.15)*	−0.01 (0.01)

Parameter estimate corresponds to an increase or decrease (depending on direction of effect) in the log odds of being in a higher level of willingness to pay. For example, a one unit increase in female (i.e., going from 0 to 1, or male to female) corresponds to a 0.76 decrease in the log odds of being in a higher level of willingness to pay for MedSeq, and 0.32 decrease in the log odds of being in a higher level of willingness to pay for college seniors, given all the other variables in the model are accounted for (held constant). Willingness to pay categories used in the ordinal logistic regression analyses were ≤US$199, US$200–499 and ≥US$500.

^†This variable was not included in model due to reporting differences between the two studies.

^‡Reference group

^§The MedSeq Project explored annual household income, college seniors explored annual family household income.

^*p < 0.05.

^**p < 0.01.

n/a: Not applicable; SE: Standard error.