Table 4 Summary of multinomial logistic regression model for device familiarity predicting personalised health intervention device preferences, controlling for sex, age, and education
Tablet preference (compared to other) | Smartphone preference (compared to other) | |||||
|---|---|---|---|---|---|---|
B | SE B | e B | B | SE B | e B | |
Intercept | −4.12* | 0.54 | -- | −2.67* | 0.55 | -- |
Tablet familiarity | ||||||
Reference: Low familiarity | ||||||
High familiarity | 3.41* | 0.27 | 30.14 | 0.32 | 0.20 | 1.38 |
Moderate familiarity | 2.05* | 0.33 | 7.74 | 0.35 | 0.24 | 1.43 |
Smartphone familiarity | ||||||
Reference: Low familiarity | ||||||
High familiarity | 0.20 | 0.21 | 1.23 | 3.13* | 0.38 | 22.95 |
Moderate familiarity | 0.00 | 0.30 | 1.00 | 1.90* | 0.45 | 6.71 |
Sex | ||||||
Reference: Female | ||||||
Male | −0.48* | 0.18 | 0.62 | −0.04 | 0.12 | 0.96 |
Education | ||||||
Reference: High school degree or less | ||||||
University education | 0.44 | 0.24 | 1.56 | 0.86* | 0.27 | 2.36 |
Technical studies | 0.33 | 0.33 | 1.40 | 0.45 | 0.36 | 1.57 |
Age | −0.00 | 0.01 | 1.00 | −0.05* | 0.01 | 0.95 |