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HOW INTERPERSONAL TRUST MANIFESTS ONLINE BEHAVIOR: A case study exploring the impact of societal levels of interpersonal trust on the utilization of online source credible information.
Unformatted Document Text:  How interpersonal trust manifests 18 from Canada with 55 bidders at the higher seller rating level. These were considered as outliers, and not included in the analysis. Results The interval variable ‘unique bidders’ was subjected to a 3 (Country: France vs. Germany vs. Canada) x 2 (Seller Rating: low vs. high) ANOVA. Table 2 presents the descriptive statistics, and Table 3 presents the ANOVA results on the dependent variable for each factor. The ANOVA yielded a significant main effect for country, F(2, 290) = 8.15, p < .001, 2 = .05, and seller ratings levels, F(1, 290) = 149.25, p < .001, 2 = .34. A significant interaction effect of country and seller rating was also found for the dependent measure, F(2, 290) = 40.59, p < .001, 2 = .10. The significant interaction indicates a joint effect of country and seller rating on the number of bidders who are attracted to the same auction. The corrected model accounted for 41% ( 2 = 0.410) of the variation in the dependent measure. To assess pair-wise differences among the three levels for the main effect for country, the Tukey post-hoc procedure (p = .05) was performed. The results revealed that Germany differed significantly from both France (MD = 0.82) and Canada (MD = 1.09). Analysis of the simple effects of seller ratings revealed that auctions in France with a low seller rating between 10-99, received an average of 1.60 bidders (or between 1-10 bidders) while auctions for the same product from sellers rated between 100-499, attracted a significantly higher (t= - 5.75, p < .05). average number of bidders (M = 5.50 or between 21-30 bidders). Explicitly answering research question 2a, seller ratings does impact the number

Authors: Vishwanath, Arun.
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How interpersonal trust manifests 18
from Canada with 55 bidders at the higher seller rating level. These were
considered as outliers, and not included in the analysis.
Results
The interval variable ‘unique bidders’ was subjected to a 3 (Country:
France vs. Germany vs. Canada) x 2 (Seller Rating: low vs. high) ANOVA. Table
2 presents the descriptive statistics, and Table 3 presents the ANOVA results on
the dependent variable for each factor. The ANOVA yielded a significant main
effect for country, F(2, 290) = 8.15, p < .001,
2
= .05, and seller ratings levels,
F(1, 290) = 149.25, p < .001,
2
= .34. A significant interaction effect of country
and seller rating was also found for the dependent measure, F(2, 290) = 40.59, p <
.001,
2
= .10. The significant interaction indicates a joint effect of country and
seller rating on the number of bidders who are attracted to the same auction. The
corrected model accounted for 41% (
2
= 0.410) of the variation in the dependent
measure. To assess pair-wise differences among the three levels for the main
effect for country, the Tukey post-hoc procedure (p = .05) was performed. The
results revealed that Germany differed significantly from both France (MD =
0.82) and Canada (MD = 1.09). Analysis of the simple effects of seller ratings
revealed that auctions in France with a low seller rating between 10-99, received
an average of 1.60 bidders (or between 1-10 bidders) while auctions for the same
product from sellers rated between 100-499, attracted a significantly higher (t= -
5.75, p < .05). average number of bidders (M = 5.50 or between 21-30 bidders).
Explicitly answering research question 2a, seller ratings does impact the number


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