| Web survey combines modern network technology with traditional survey techniques. With the rapid development of the Internet and the improvement of network popularization, this kind of survey is applied more and more widely. Compared with the traditional survey, web surveys has many advantages in the survey organization, information collection, information processing and investigate results. However, because of the characteristics of the network, web survey still have some disadvantages, such as low coverage, low controlling, high openness and low security of Internet. These problems become the obstacles to stop us controlling data quality in the web survey.In this paper, we begin with the data error to research the data quality of the web survey. Based on the theories of Total Quality Management, Optimal Control and Statistic Error, we define some conceptsaboutdata quality in web survey.We also construct the index system of influence factors of the web survey using the definition of data quality of web survey, which are endogenous quality, transmission quality and control qualityof the web survey data. After analyzing the error effects of the web survey data, we use some error control techniques to solve the error problems in web survey. And try to find some effective ways to control the sampling error, coverage error, nonresponse error and measurement error. Research was found that using the error adjustment methods, we can ease the participants who may refuse to be investigated and also the design of the investigation itself. With the same purpose, these good methods can help reducing the problems of data collection and administration, legal supervision and web moral in web survey. Based on the theoretical analysis, after strong hypothesis, we use the data as sample sets of the simulation from Leiniz Institute for the Social Sciences, Germany. This investigate was finished in July,2011 named social inequality. Then, we design the simulation process of nonresponse and measurement error correction. Use the statistical software of S-Plus and SPSS to design and implementation of the simulation program and test the effectiveness of the methods we study above.Finally, there are some advisements for how to control the data quality in web survey. Such as advising the survey organization should stay during the process of investigation, promoting the web users’quality, designing survey scheme scientificly, enhancingthe credibility of web survey, strengthening the process control of web survey, supplying enough prior auxiliary information, making clear about the survey coverage, using mixed survey way to carry out investigation, anddealing with interdisciplinary technique and method for the data quality of web survey.The innovation of this dissertationincludes:First, define scientificly about what is data quality of the web survey and control the data quality of the web survey. Then construct the index system about the quality factors of the data in the web survey. According to this index system, study which fators are more important to influence the data quality in the web survey.Second, study some useful method to control the data quality in the web survey. These methods are not only using statistical area of research achievements, but also joining the network characteristics elements. Sowe can reduce the data error made by "people", questionair designing and data collection.Finally, use simulation way to check the effectiveness of the correction of the data errors in the web survey. Then find the proper data sets and design the processes of the nonresponse error and measurement error of the web survey. Using S-Plus and SPSS software to design and implementation of the simulation program, then gives us some conclutions. This developes the theory and the application with the existing methods, and improve the new field of study data quality of the web survey. |
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