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analysis using LISREL 8.3 for Windows was also undertaken in order to assess convergent and<br />

discriminant validity. Results for in-store shoppers are presented in Table 3, while results for<br />

online shoppers are presented in Table 4. Correlation matrices, means, and standard deviations<br />

of the scale items are provided for in-store shoppers in Table 5 and online shoppers in Table 6.<br />

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Table 3 about here<br />

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Table 4 about here<br />

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Table 5 about here<br />

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Table 6 about here<br />

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Since all of the items within each dimension of retail convenience are reflective of their<br />

appropriate definitions, Cronbach’s alpha was used in order to examine the reliability of each<br />

dimension. As can be seen in the tables, these reliabilities were quite high, ranging from 0.7649<br />

to 0.9722. The dimensions of online retail convenience performed particularly well, as all were<br />

above the 0.9 level.<br />

For in-store shoppers, five dimensions of retail convenience were hypothesized to exist,<br />

while four dimensions of online retail convenience were hypothesized. In order to more<br />

carefully examine the dimensionality of these constructs, principal components analysis with<br />

varimax rotation was undertaken for each group separately. For in-store shoppers, five<br />

components with eigen<strong>value</strong>s greater than one were extracted from the data. Together, these five<br />

components explain 77.9% of the total variance. For online shoppers, four components with<br />

eigen<strong>value</strong>s greater than one were extracted; together, they explain 84.4% of the total variance.<br />

Thus, there is strong evidence in support of Hypothesis 1; the dimensionality of retail<br />

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