Abstract
A model and application based on the questionnaire survey are presented. After a series of pre-processing of the original survey data, such as de-duplication, missing value and outlier value, the data from the two different data sources are combined and imported into SPSS software. Then, various research variables are extracted according to the research objectives, and the reliability and validity are tested. A structural equation model (SEM) for training willingness is constructed using AMOS software. This model integrates two statistical methods, factor analysis and path analysis, and can well express the direct or indirect effects of other variables on the latent variables of willingness. The results show that individual endeavor expectation is linearly related to subjective norms, which are also the two main factors influencing willingness. Therefore, more publicity and encouragement should be given.
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Acknowledgments
This work was supported by the Hainan Provincial Natural Science Foundation (618ms025); the major scientific project of Hainan Province (ZDKJ2020012).
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Tang, C., Zhang, H. (2021). A Data Model Construction Method Based on the Questionnaire Survey. In: Tan, Y., Shi, Y., Zomaya, A., Yan, H., Cai, J. (eds) Data Mining and Big Data. DMBD 2021. Communications in Computer and Information Science, vol 1453. Springer, Singapore. https://doi.org/10.1007/978-981-16-7476-1_32
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DOI: https://doi.org/10.1007/978-981-16-7476-1_32
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