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American Government Across Time, Space, and Location
Unformatted Document Text:  23 Space (took class online) .746 .371 .071 2.009 . 045 Location (took class at JALC) -.314 .254 -.045 -1.237 . 217 F = 74.775, p <.01; Adjusted R 2 = .422. Table 4 presents findings from the multiple regression analysis of the post confidence in government scores. The adjusted R 2 of .422 indicates that this model explains about 42% of the variance in the post internal political efficacy. Furthermore, the probability of the F value of 74.775 for this model is less than the alpha level of .01. Therefore, the null hypothesis that the combined effects of prior confidence in government, cognitive pre score, time, space, and location is equal to zero must be rejected. A significant amount of variation in post confidence in government is explained by this model. Table 4 further illustrates that post confidence in government will increase .635 for each unit change in prior confidence in government, holding constant all other variables in this model. Upon examining the significance associated with obtaining the t value (18.895) for this coefficient, the null hypothesis that the effect of prior confidence in government on post confidence in government is equal to zero must be rejected. Time seems to be a valid influence on post confidence in government since the significance associated with obtaining the t value (2.978) for this coefficient is significant at .000. Therefore, the null hypothesis that the effect of when the course is taken on post confidence in government is equal to zero must be rejected. More specifically, when a student takes American Government 101 in the Fall semester post confidence in government increases by .678. Additionally, when the student is in an online

Authors: Bryant, Jane.
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23
Space (took class online)
.746
.371
.071 2.009 .
045
Location (took class at JALC)
-.314
.254
-.045 -1.237
.
217
F = 74.775, p <.01; Adjusted R
2
= .422.
Table 4 presents findings from the multiple regression analysis of the post confidence in
government scores. The adjusted R
2
of .422 indicates that this model explains about 42% of the
variance in the post internal political efficacy. Furthermore, the probability of the F value of
74.775 for this model is less than the alpha level of .01. Therefore, the null hypothesis that the
combined effects of prior confidence in government, cognitive pre score, time, space, and
location is equal to zero must be rejected. A significant amount of variation in post confidence
in government is explained by this model.
Table 4 further illustrates that post confidence in government will increase .635 for each
unit change in prior confidence in government, holding constant all other variables in this model.
Upon examining the significance associated with obtaining the t value (18.895) for this
coefficient, the null hypothesis that the effect of prior confidence in government on post
confidence in government is equal to zero must be rejected. Time seems to be a valid influence
on post confidence in government since the significance associated with obtaining the t value
(2.978) for this coefficient is significant at .000. Therefore, the null hypothesis that the effect of
when the course is taken on post confidence in government is equal to zero must be rejected.
More specifically, when a student takes American Government 101 in the Fall semester post
confidence in government increases by .678. Additionally, when the student is in an online


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