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论文作者:www.51lunwen.org论文属性:硕士毕业论文 dissertation登出时间:2014-09-26编辑:felicia点击率:32088
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From the reliability test, we can find that the Cronbach's Alpha is 0.512, which is lower that 0.600. This also shows that all respondents have the same or similar opinion towards the items in usage of E-learning. To make the Cronbach's Alpha greater than 0.600, our group has decide to delete one item.
4.4 Regressions/ Coefficients
To explore the predictive ability of an independent or a set of independent variables on one dependent variable, regression is used. It is a more sophisticated extension of correlation. It not only tells us about the relationship and the significance of the independent and dependent variables, it also predicts the outcome from predictors and it also tell us how much does the independent variable affected the dependent variable.
Regression uses least square method, which is a simple mathematical method of ensuring the straight line that runs through the points on the scatter diagram is positioned so as to be the best possible. The regression coefficient tells us how much of the variance in the dependent variable is explained by the independent variable.
To examine the hypothesis are accepted or rejected, coefficients is used. For a hypothesis to be accepted, the significant level must less (<) than 0.05. On the other hand, the hypotheses that have the significant level greater (>) than 0.05, it should be rejected.
a) Independent variables: Student Attitude
(a) Predictors: (constant), students attitude
Coefficients (a)
From the table above, we can find that the R= 0.652. This means that the there is a positive relationship between independent variables and dependent variables and the relationship are quite strong. The R square value, 0.426 means that all items in students attitude explain 42.6% of the factors increase the usage of internet. . For the standardized coefficient, if the student attitude towards usage of internet by one unit, the usage of internet will increase by 0.489 unit. For a hypothesis to be accepted, the significant level must less (<) than 0.05. The significant level of student attitude variable is 0.000, which is less than 0.05 and thus, the alternative hypothesis, there is a relationship between student attitude and the usage of internet are accepted.
b) Independent variables: Usage of E-Learning
(b) Predictors: (constant), students attitude
Coefficients (a)
From the table above, we can find that the R= 0.609. This means that the there is a positive relationship between independent variables and dependent variables and the relation本论文由英语论文网提供整理,提供论文代写,英语论文代写,代写论文,代写英语论文,代写留学生论文,代写英文论文,留学生论文代写相关核心关键词搜索。