Research on web questionnaire-system which is to support teaching-evaluation

• Main Authors: Cheng Chen Wen, 鄭振文
• Other Authors: Yuh-Ming Cheng
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/26658406832491956582

碩士 === 樹德科技大學 === 資訊工程學系 === 94 === It’s an imperative and frequent task for the academic personnel. In order to save the costs for manpower, time as well as other expenditure and optimize the expansibility of questionnaire and its convenience & immediacy for answering so as to facilitate the further statistical analytic results, it’s practical and valuable to use web questionnaire as user interface and integrate it with statistical software & data pool, capitalize on various advanced statistical analysis on dynamic web-questionnaire. The key point of this research is to facilitate the academia to use this system to make easily high quality net page of questionnaire and holistic forms for reporting statistics. This study has introduced the questionnaire for developing life cycles, provided the designing techniques for questionnaires of simple style, structural model and sampling. It also applies modularized concepts to develop a set of system with user-friendly interfaces and powerful functions that is easy to manipulate. The author convinces the multiple statistical functions and the established environment of questionnaire expertise validity provided by this system would be a valuable instrument for users. Take the statistical analytic function of the system for example: it could be categorized to 2 formats as “subject statistics” and “holistic statistics”. While the former is calculated by each subject, and supply 7 functions such as showing diagrams, volumes, possibility distribution, estimate, valuation, testing, Correlation Analysis, Regression Analysis and ANOVA; the latter takes the whole questionnaire as a statistical unit, and its functions include drawing frequency distribution table, chart, the situation of interviewees’ answering questions, contingency tables, filtering the aggregate conditions for date range and volumes.