User types differ significantly in acceptance of the portal, with perceived behavioral control more important for heavy users and subjective norms and ease of use more important for light and medium users¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2012 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Moderated regressions show significant interactions between user type and predictors for perceived usefulness and attitude, but not for behavioral intention or frequency of use. → Pynoo 2012
Evidence¶
Pynoo 2012¶
Pynoo, B., Tondeur, J., Van Braak, J., Duyck, W., Sijnave, B. & Duyck, P. (2012). Teachers' acceptance and use of an educational portal. Computers & Education, 58(4), 1308-1317. https://doi.org/10.1016/j.compedu.2011.12.026
q2 · i? · associational · r2
Pairwise moderated linear regressions tested whether path coefficients differed between user types. The results report that "the portal’s usefulness is more important for light users in their attitude formation (β -.09, p=.01)" compared to medium users.
"Comparing the light and medium users, we find that the portal’s usefulness is more important for light users in their attitude formation (β -.09, p=.01). Comparing the light and heavy users, we see that light users draw more on their social environment when evaluating the usefulness of the portal (β -.10, p=.01)."
Discussion¶
Related Claims¶
- Attitude is the strongest predictor of behavioral intention for new users, while perceived usefulness is strongest for light, medium and heavy users — reports the opposite
- Portal users can be classified into four types (new, light, medium, heavy) based on observed usage parameters — a broader claim this one bears on
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