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. 2021 May 19;23(5):e25447. doi: 10.2196/25447

Table 2.

Bivariate correlations between core constructs of health behavior models, technology acceptance, adoption intentions, and frequency of use of COVID-19 contact tracing apps.

Constructs	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16
1. Attitudes	1
2. Personal norms	.51^a	1
3. Injunctive social norms	.68^a	.60^a	1
4. Descriptive social norms	.43^a	.52^a	.48^a	1
5. Self-efficacy	.37^a	.35^a	.33^a	.31^a	1
6. Perceived controllability	.08	.06	–.04	.05	.22^a	1
7. Perceived usefulness	.80^a	.48^a	.66^a	.41^a	.36^a	–.02	1
8. Perceived barriers	–.35^a	–.23^a	–.26^a	–.22^a	–.35^a	–.04	–.28^a	1
9. Perceived ease of use	.29^a	.30^a	.29^a	.27^b	.64^a	.07	.25^a	–.26^a	1
10. Hedonic motivation	.71^a	.48^a	.60^a	.39^a	.31^a	.03	.69^a	–.33^a	.26^a	1
11. Price value	.41^a	.26^a	.34^a	.26^a	.25^a	–.07	.36^a	–.52^a	.19^a	.36^a	1
12. Habit	.35^a	.19^a	.27^a	.23^a	.40^a	.04	.32^a	–.23^a	.37^a	.32^a	.25^a	1
13. Experience	.06	.02	.06	.14^c	.12^c	.02	.07	–.05	.20^b	.10	.11	.42^a	1
14. Adoption intentions	.66^a	.63^a	.69^a	.48^a	.38^a	.03	.63^a	–.35^a	.31^a	.64^a	.42^a	.29^a	.10	1
15. App use frequency	.21^b	.32^a	.27^a	.15^b	.15^b	.04	.12^c	–.17^b	.20^a	.28^a	.15^b	.14^b	.06	.46^a	1
16. Exposure	.02	.05	.05	.03	.01	.07	.00	–.04	.02	–.03	.07	–.04	–.06	.11^c	.39^a	1

^aP<.001.

^bP<.01.

^cP<.05.