Questionnaire Analysis
Objective
The main objective of this study was to gain insights into the level of public awareness of bacterial-algal interactions for water purification and their satisfaction with this technology. The background of this study is very important as it is intended to provide the necessary information to other related teams to help them to better carry out their work and science popularization activities. In an era of information explosion, public awareness and attitude are crucial for the acceptance and development of any new technology. Therefore, through this study, we try to solve the mystery of public perception of bacterial-algal interactions for water purification and their willingness to accept and support this technology.
Methodology and Process
In order to achieve this objective, a well-designed questionnaire methodology was used, which consisted of six key questions aimed at understanding the public's perceptions and attitudes towards bacterial-algal interactions for water purification technologies. The questionnaire was divided into three sections, categorized according to the respondents' occupational backgrounds, in order to gain a deeper understanding of the perception levels and attitudes of different groups of people. This multi-level approach helped us to gain a more comprehensive understanding of public perceptions rather than just a general survey.
Through the online research platform, we successfully collected a large amount of questionnaire data. These data were reasonably validated by statistical methods, including the reliability test and validity test, to ensure that our findings are highly authentic and credible. This was an important step in the research as it ensured that the basis of our study was reliable.
The team designed six questions for three different groups.
Question 1. The attitude of the general public towards the treatment of sewage by mycobacterial-algal symbiotic systems.
Question 2. The pollution status of sewage in a residential environment.
Question 3. One of the public's expectations of a mycobacterial-algal symbiotic system.
Question 4. Whether technicians are optimistic about the future of the bacterial-algal symbiosis system.
Question 5. How well do business people understand the policy of sewage treatment.
Question 6. Whether the technicians of the enterprises accept the BACS.
After discussion, the team confirmed the content and purpose of the survey, planned the time of questionnaire collection and the arrangement of data analysis and report writing.
The questionnaire was analyzed for questionnaire rationality analysis which includes reliability test, validity test. A pollution degree model based on multiple choice analysis and critic method was established to judge the pollution status. Next, the expectation discriminant model based on multiple choice analysis was established, and multiple choice analysis was done to determine the expectation of the public for water purification by the algae-bacteria interaction model. In order to calculate the technician's expectation, the team established the technician's expectation model based on entropy method.
The team next modeled business personnel's policy understanding based on the NPS net recommendation value, which investigated business personnel's understanding of wastewater-related policies. Subsequently, the acceptance level model of business personnel based on critic weighting method is established.
To study the influence of science tweets, NLP-based influence analysis of science tweets is established. The team crawled bilibili comments and processed the comments, followed by visualization.
Summary
In processing the questionnaire data, we used a variety of modeling approaches to clearly present the findings of the six key questions. We introduced the NPS net recommendation value as an indicator to assess the degree of public recommendation of bacterial-algal interactions for water purification technologies and categorized the respondents into different categories to assess their degree of recommendation more comprehensively. In addition, we used multiple choice analysis to analyze specific questions in depth and draw conclusions by statistical means. Finally, we also used exposure analysis in order to examine issues related to perception and understanding in the questionnaire model. The combined use of these analytical methods helped us to better understand public perceptions and attitudes.
The human practices component of the team will produce science tweets based on the results of these studies, which are aimed at disseminating scientific knowledge about mycorrhizal-algal interactions for water purification technologies to the general public. By analyzing the comments on these tweets, we use natural language processing techniques to assess the impact and popularity of these tweets in popular science. The importance of this study lies in the fact that it provides strong support and guidance for the human practice component to better disseminate knowledge of synthetic biology and awareness of ecological conservation among the public.
