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. Author manuscript; available in PMC: 2022 Sep 16.
Published in final edited form as: J Health Commun. 2019 Apr 29;24(5):503–511. doi: 10.1080/10810730.2019.1609139

Table 3.

Results of ordinal logistic regression and ANOVA testing ad exposure frequency on risk and benefit recall and recognition

Outcome Overall Experimental Condition
1 Ad Exposure 2 Ad Exposures 4 Ad Exposures X2-value, p-value
n (%) n (%) n (%) n (%)
Recall of risk information
0 218 (36.3) 92 (46.2) 73 (36.1) 53 (26.5) 20.93, p < 0.001
1 202 (33.6) 63 (31.7) 71 (35.2) 68 (34.0)
2+ 181 (30.1) 44 (22.1) 58 (28.7) 79 (39.5)
Recall of benefit information
0 97 (16.1) 37 (18.6) 30 (14.9) 30 (15.0) 9.34, p = 0.009
1 256 (42.6) 99 (49.8) 77 (38.1) 80 (40.0)
2+ 248 (41.3) 63 (32.2) 95 (47.0) 90 (46.0)
Mean (SE) Mean (SE) Mean (SE) Mean (SE) F-value, p-value
Recognition of risk information 4.61 (0.09) 4.30 (0.09) 4.61 (0.09) 4.91 (0.09) 11.89, p < 0.001
Recognition of benefit information 5.07 (0.08) 4.95 (0.08) 5.01 (0.08) 5.23 (0.08) 3.17, p = 0.043
*

Significant differences for recall of risk information were between 4 vs. 1 and 4 vs. 2 exposures. Significant differences for recall of benefit information were between 2 vs. 1 and 4 vs. 1 exposures. Significant differences for recognition of risk information were between 2 vs. 1 and 4 vs. 1 exposures. For recognition of benefit information, significant differences were between 4 vs. 1 exposures. To be considered significant, p-values had to be below the Bonferroni adjusted p-value < 0.0167.