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International Conference on Information Computing and Applications

ICICA 2013: Information Computing and Applications pp 212–221Cite as

Reliability and Validity Assessment of Cluster Sampling on Multinomial Sensitive Question by Monte Carlo Simulation

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 391))

Abstract

Objective: To assess the reliability and validity of RRT method of cluster sampling survey on multinomial sensitive question. Method: Monte Carlo Simulation was applied to simulate the investigation and compare the results got from RRT method and simulated direct questioning (criterion) by chi-square test. Results: 99 results are not statistically significant different from criterion (α=0.05). Conclusion: The method and corresponding formulae are valid and reliable.

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Author information

Authors and Affiliations

  1. School of Public Health, Medical College of Soochow University, Suzhou, 215123, China

    Jia-chen Shi, Xiang-yu Chen, Yun-hua Zhou, Ying Fu & Ge Gao

  2. Xuhui Center For Disease Control And Prevention, Shanghai, 200030, China

    Lei Wang

Authors
  1. Jia-chen Shi
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  2. Xiang-yu Chen
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  3. Yun-hua Zhou
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  4. Ying Fu
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  5. Lei Wang
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  6. Ge Gao
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Editor information

Editors and Affiliations

  1. Shanghai Jiao Tong University, 800 Dongchuan Road, Dianxinqunlou 1-401, 200240, Shanghai, China

    Yuhang Yang

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, 639798, Singapore, Singapore

    Maode Ma

  3. College of Science, Hebei United University, 063009, Tangshan, Hebei, China

    Baoxiang Liu

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© 2013 Springer-Verlag Berlin Heidelberg

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Shi, Jc., Chen, Xy., Zhou, Yh., Fu, Y., Wang, L., Gao, G. (2013). Reliability and Validity Assessment of Cluster Sampling on Multinomial Sensitive Question by Monte Carlo Simulation. In: Yang, Y., Ma, M., Liu, B. (eds) Information Computing and Applications. ICICA 2013. Communications in Computer and Information Science, vol 391. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53932-9_21

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  • DOI: https://doi.org/10.1007/978-3-642-53932-9_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53931-2

  • Online ISBN: 978-3-642-53932-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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