Reliability and Validity of Statistical Survey Quality Evaluation
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DOI: 10.38007/Proceedings.0001339
Corresponding Author
Linyu Xie
Abstract
The data obtained from statistical investigation mainly include various data, occurrence, and the relationship between each other, as well as the comprehensive conclusions and opinions of the investigators. The determining factor of whether the statistical analysis conclusion is correct is the quality of the statistical investigation. Based on this background, the main purpose of this paper is to study the quality evaluation of the main statistical survey, the relationship between the reliability and validity of the quality evaluation of statistical survey, and to grasp the correct method, so that the statistical survey work can play its own value and role. The research idea of this paper is to analyze and summarize the relevant data obtained from the statistical investigation of specific cases, so as to understand the thought and behavior habits of the respondents, and whether the respondents are consistent with the survey results. It is found that the relationship between reliability and validity is proportional. When the reliability evaluation value is 98.16% and the coincidence index is 94.72%, it means that the data survey results are consistent and both reliability and validity are valid. When the reliability evaluation value is only 47.17% and the coincidence index is only 53.82%, it indicates that the survey results are neither credible nor valid. In this paper, the results of the survey show that statistical investigation is the premise and basis of statistics and analysis, we in statistical investigation work to correctly grasp the good reliability and validity of statistical investigation data, the relationship between achieve a higher reliability and higher validity is a high quality, to ensure survey data accuracy, and make investigation statistical work to increase credibility and the development of science and health.
Keywords
Statistical Survey; Investigation Statistical; Quality Evaluation