As the TAM indicates “external variables” influence both the PU and PEOU which ultimately affect the “actual system use”. The variables: highest level of education attained (edu), and average time spent on the internet (internet-time) were external variable chosen to test their relationships with PU and PEOU using ANOVA.
(edu) and (internet-time) were selected as it is deemed that an increase in (edu) would in turn increase the ease which something is perceived (PEOU), and an increased (internet-time) would indicate a familiarity with the online environment, proximity to related technology is hypothesised to increase PU.
Hypothesis 3 |
| H30: External variables of: highest level of education gained (edu); and average time spent on the internet daily (internet-time) have a positive relationship with PU of Bitcoin. |
Hypothesis 4 |
| H40: External variables of: (edu) and (internet-time) have a positive relationship with PEOU of Bitcoin. |
7.5.1 Levene’s Test of Equality of Error Variances
| Dependent Variable: Bitcoin seems useful in online transactions (PU). | |||
|
F |
df1 |
df2 |
Sig. |
|
3.638 |
8 |
60 |
.002 |
Table 13: Levene’s Test for PU
| Dependent Variable: It seems easy to use Bitcoin in online transactions (PEOU). | |||
|
F |
df1 |
df2 |
Sig. |
|
1.641 |
8 |
60 |
.132 |
Table 14: Levene’s Test for PEOU
Levene’s test allows us to determine whether the results conform to the homogeneity of variances assumption. If the sig. Level is greater than 0.05 it is appropriate for continuation of ANOVA.
For the data regarding PU a significant value of 0.002 suggests that the data obtained for PU is unsuitable for further testing, this may need to be considered in future studies. The results collected for PEOU at sig.= 0.132 is valid and tested in table 14.
Next section: https://jl00282.wordpress.com/dissertation-part-2/customers-perspective/quantitative-findings-analysis-disscussion/anova/
The New Exchange 