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处理专栏建设调查数据的统计分析

时间:2020-07-20 21:10来源:毕业论文
通过向各种人群填写的调查问卷所取得的数据,为读者进行细分,判断不同读者群的偏好,通过初筛和因子分析,提取主因子,简化问题。选取其中最具有代表性的因子。用以完善期刊

摘要高校校刊是高校的重要宣传阵地和舆论工具,是学校精神文明建设的重要阵地。现代的高校校刊往往被指缺乏创新、内容空洞、学术水平不高等。提高校刊质量最有效的途径就是提高专栏建设的水平。高校期刊不仅是体现学校教学理念的地方也是体现高校学术水平的场所,因而如何让专栏在不失高校风采与学术水平的同时,获得更广大读者的喜爱,对于专栏的选择也就尤为重要。而本文旨在通过向各种人群填写的调查问卷所取得的数据,为读者进行细分,判断不同读者群的偏好,通过初筛和因子分析,提取主因子,简化问题。选取其中最具有代表性的因子。用以完善期刊的专栏,帮助高校更好地选择专栏内容,提高校刊的水平。52701

毕业论文关键词:高校校刊;专栏建设;调查问卷;数据分析;因子分析       

 Abstract    School Newsletter is the important instrument of public opinion and propaganda position, it is an important position in the construction of spiritual civilization of the school. The modern School Newsletter is often refers to the lack of innovation, emptied of content, low academic level and so on. The most effective way to improve the quality of the School Newsletter is to raise the level of the construction column. School Newsletter is not only the place reflect the principles of teaching but also give expression to the academic level so how to make column loved by the readers in both the style and the academic levels, for column selection is very important. This paper aims to use the data obtained from the questionnaires filled out to the readers to segment the readers, to determine the preferences of different readers, through screening and factor analysis, extract the main factors, simplify the problem. To help us select one of the most representative and make the best choice to improve periodical column and The level of academic journals.

Key words: School Newsletter; Column construction; Questionnaire; Data analysis; factor analysis 

目录

摘要 - 1 -

Abstract - 2 -

一、绪论 - 3 -

1.1 研究背景 - 3 -

1.2 专栏的简介 - 3 -

1.2.1 专栏的定义 - 3 -

1.2.2 专栏的现状 - 4 -

1.2.3 专栏建设的意义 - 4 -

二、统计分析方法—因子分析 - 5 -

2.1 因子分析的概念 - 5 -

2.2 因子分析的数学模型 - 5 -

2.3 因子载荷矩阵的求解 - 6 -

2.4 因子旋转 - 8 -

三、数据处理 - 9 -

3.1原始数据 - 9 -

3.1.1数据筛选 - 9 -

3.1.2数据预处理 - 9 -

3.2 统计分析系统—SAS - 12 -

3.2.1 SAS的简介 - 12 -

3.2.2 SAS的特点 - 13 -

3.2.3 因子分析SAS程序 - 13 -

四、统计分析 - 18 -

五、结论 - 22 -

参考文献 - 24 -

附录 - 25 -

 一、绪论 处理专栏建设调查数据的统计分析:http://www.youerw.com/shuxue/lunwen_56687.html

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