智能問卷分析專家系統(tǒng)外文翻譯

1、1本 科 生 畢 業(yè) 設(shè) 計(jì)外 文 資 料 翻 譯題 目 社區(qū)民意調(diào)查平臺設(shè)計(jì)與實(shí)現(xiàn)專 業(yè) 計(jì)算機(jī)科學(xué)與技術(shù) 班 級 xxx 姓 名 xxx 指導(dǎo)教師 指導(dǎo)教師 xxx（高級實(shí)驗(yàn)師）所在學(xué)院 所在學(xué)院 信息學(xué)院 附 件 1.外文資料翻譯譯文;2.外文原文3according to the sampl

2、ing methods. For analyzing the questionnaire data, researchers can use not only descriptive statistics methods to describe the basic distribution of the samples, but also inferential statistics methods to infer the real

3、human behavior and social phenomenon.Significance of group differences is one of the four types of the research questions (Tabachnick & Fidell,1996). For example, in a questionnaire survey for elementary school stude

4、nts, “Is there a significant difference between boys and girls about the hours they access the Internet every week?” is an interesting phenomenon that researchers want to know. In the questionnaire analysis, how to find

5、a statistically significant difference between two or more groups in a continuous measure is one of the major research issues. In the traditional quantitative research, the researchers will firstly propose several hypoth

6、eses of the subject according to their experiences, and then determine whether there exists a statistical significance in some hypothesis in a try-and-error manner. The quality of the result using the manner, of course,

7、is in accordance with the quality of the hypotheses, and the process of finding the statistically significant differences is highly dependent on researchers' intuition and experience. For example, in a questionnaire

8、survey of elementary school students’ Internet usage behavior, a researcher might make a hypothesis, “There is a statistically significant difference between different genders about the hours they access the Internet eve

9、ry week,“ and then use appropriate inferential statistics method according to his/her knowledge of statistics to test this hypothesis. Without making the hypothesis, the difference can not be found even if it really exis

10、ts. Therefore, how to acquire the knowledge and experience of senior researchers might be helpful for the junior researchers. Besides, granularity of original questionnaire data may not be good enough to find the statist

11、ically significant differences. For example, in a questionnaire survey of elementary school students' Internet usage behavior, if there is no significant difference between different resident regions about the hours

12、students access the Internet every week, the researcher might conclude there is no significant difference between different resident regions. However, each region may contain several counties in geography. By drilling do

13、wn the student's resident dimension to lower levels of granularity, it is still possible to find a significant difference between different counties.When researchers analyze a questionnaire data, they have to make so