Identifying Outliers in Response Quality Assessment by Using Multivariate Control Charts Based on Kernel Density Estimation
By: Jiayun Jin and Geert Loosveldt
References
- Ahsan, M., M. Mashuri, H. Kuswanto, D.D. Prastyo, and H. Khusna. 2018. “Multivariate Control Chart Based on PCA Mix for Variable and Attribute Quality Characteristics.” Production & Manufacturing Research 6(1): 364–384. DOI: https://doi.org/10.1080/21693277.2018.1517055.
- Bersimis, S., J. Panaretos, and S. Psarakis. 2005. “Multivariate Statistical Process Control Charts and the Problem of Interpretation: A Short Overview and Some Applications in Industry.” In Proceedings of the 7th Hellenic European Conference on Computer Mathematics and Its Applications. Athens, Greece. September 22–24, 2005. Available at: https://arxiv.org/ftp/arxiv/papers/0901/0901.2880.pdf (accessed September 2020).
- Billiet, J.B., and M.J. McClendon. 2000. “Modeling Acquiescence in Measurement Models for Two Balanced Sets of Items.” Structural Equation Modeling 7(4): 608–628. DOI: https://doi.org/10.1207/S15328007SEM0704_5.
- Chakraborti, S., S. Human, and M. Graham. 2008. “Phase I Statistical Process Control Charts: An Overview and Some Results.” Quality Engineering 21(1): 52–62. DOI: https://doi.org/10.1080/08982110802445561.
- Chavent, M., V. Kuentz-Simonet, A. Labenne, and J. Saracco. 2014. “Multivariate Analysis of Mixed Data: The R Package PCAmixdata.” Available at: https://arxiv.org/abs/1411.4911 (accessed September 2020).
- Chou, Y.-M., R.L. Mason, and J.C. Young. 2001. “The Control Chart for Individual Observations from a Multivariate Non-Normal Distribution.” Communications in Statistics–Theory and Methods 30(8-9): 1937–1949. DOI: https://doi.org/10.1081/-STA-100105706.
- Cleveland, W.S. 1979. “Robust Locally Weighted Regression and Smoothing Scatterplots.” Journal of the American Statistical Association 74(368): 829–836. DOI: http://doi.org/10.1080/01621459.1979.10481038.
- Cleveland, W.S., and S.J. Devlin. 1988. “Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting.” Journal of the American Statistical Association 83(403): 596–610. DOI: http://doi.org/10.1080/01621459.1988.10478639.
- Corsetti, G., M. Giammatteo, and A. Martini. 2010. “Monitoring Process and Non-sampling Errors Control in PLUS Sample Survey.” In Proceedings of the European Conference on Quality in Official Statistics (Q2010). Helsinki, Finland. May 4–6, 2010. Available at: https://q2010.stat.fi/media/presentations/session24/corsetti_giammatteo_-martini_q2010_v2_paper.pd (accessed September 2020).
- Costa, F.S., R.H. Pedroza, D.L. Porto, M.V. Amorim, and K.M. Lima. 2015. “Multivariate Control Charts for Simultaneous Quality Monitoring of Isoniazid and Rifampicin in a Pharmaceutical Formulation Using a Portable Near Infrared Spectrometer.” Journal of the Brazilian Chemical Society 26(1): 64–73. DOI: http://dx.doi.org/10.5935/0103-5053.20140214.
- Ferrer, A. 2007. “Multivariate Statistical Process Control Based on Principal Component Analysis (MSPC-PCA): Some Reflections and a Case Study in An Autobody Assembly Process.” Quality Engineering 19(4): 311 – 325. DOI: https://doi.org/10.1080/08982110701621304.
- Groves, R.M., and S.G. Heeringa. 2006. “Responsive Design for Household Surveys: Tools for Actively Controlling Survey Errors and Costs.” Journal of the Royal Statistical Society: Series A (Statistics in Society) 169(3): 439 – 457. DOI: https://doi.org/10.1111/j.1467-985X.2006.00423.x.
- Hotelling, H. 1947. “Multivariate Quality Control–illustrated by the Air Testing of Sample Bombsights.” In Techniques of Statistical Analysis, edited by C. Eisenhart, M. Hastay, and W. Wallis, 111–184. New York: McGraw-Hill.
- Hubert, M., and M. Debruyne. 2010. “Minimum Covariance Determinant.” Wiley Interdisciplinary Reviews: Computational Statistics 2(1): 36–43. DOI: https://doi.org/10.1002/wics.61.
- Hubert, M., M. Debruyne, and P.J. Rousseeuw. 2018. “Minimum Covariance Determinant and Extensions.” Wiley Interdisciplinary Reviews: Computational Statistics 10(3): E1421. DOI: https://doi.org/10.1002/wics.1421.
- Jans, M., R. Sirkis, and D. Morgan. 2013. “Managing Data Quality Indicators With Paradata Based Statistical Quality Control Tools: The Keys to Survey Performance.” In Improving Surveys With Paradata. Analytic Uses of Process Information, Edited by F. Kreuter, 191–229. John Wiley & Sons, Inc.
- Jin, J., and G. Loosveldt. 2020. “Assessing Response Quality by Using Multivariate Control Charts for Numerical and Categorical Response Quality Indicators.” Journal of Survey Statistics and Methodology. ISSN: 2325-0984. DOI: https://doi.org/10.1093/jssam/smaa012.
- Jin, J., C. Vandenplas, and G. Loosveldt. 2019. “The Evaluation of Statistical Process Control Methods to Monitor Interview Duration During Survey Data Collection.” Sage Open 9(2). DOI: https://doi.org/10.1177/2158244019854652.
- Kini, K.R., and M. Madakyaru. 2016. “Multivariate Statistical Based Process Monitoring Using Principal Component Analysis: An Application to Chemical Reactor.” International Journal of Control Theory and Applications 9(39): 303–311.
- Kreuter, F., M. Couper, and L. Lyberg. 2010. “The Use of Paradata to Monitor and Manage Survey Data Collection.” In Proceedings of the Joint Statistical Meetings, 282–296. Vanouver, Canada. August 2–4, 2010. Available at: http://sampieuchair.ec.unipi.it/wp-content/uploads/2018/10/Couper-etal.pdf (accessed September 2020).
- Krosnick, J.A. 1991. “Response Strategies for Coping With the Cognitive Demands of Attitude Measures in Surveys.” Applied Cognitive Psychology 5(3): 213–236. DOI: https://doi.org/10.1002/acp.2350050305.
- Loosveldt, G., and K. Beullens. 2017. “Interviewer Effects on Non-differentiation and Straightlining in the European Social Survey.” Journal of Official Statistics 33(2): 409–426. DOI: https://doi.org/10.1515/jos-2017-0020.
- MacCarthy, B., and T. Wasusri. 2002. “A Review of Non-standard Applications of Statistical Process Control (SPC) Charts.” International Journal of Quality & Reliability Management 19(3): 295 – 320. DOI: http://doi.org/10.1108/02656710210415695.
- MacGregor, J.F., and T. Kourti. 1995. “Statistical Process Control of Multivariate Processes.” Control Engineering Practice 3(3): 403–414. DOI: https://doi.org/10.1016/0967-0661(95)00014-L.
- Mason, R., and J. Young. 2002. Multivariate Statistical Process Control With Industrial Applications. ASA-SIAM Series on Statistics and Applied Probability. Society for Industrial/Applied Mathematics. DOI: https://doi.org/10.1137/1.9780898718461.
- Montgomery, D.C. 2009. Introduction to Statistical Quality Control. New York: John Wiley & Sons.
- Peng, D., and K. Feld. 2011. “Quality Control in Telephone Survey Interviewer Monitoring.” Survey Practice 4(2). DOI: https://doi.org/10.29115/SP-2011-0011.
- Phaladiganon, P., S.B. Kim, V.C. Chen, J.-G. Baek, and S.-K. Park. 2011. “Bootstrap-based T2 Multivariate Control Charts.” Communications in Statistics–Simulation and Computation 40(5): 645–662. DOI: https://doi.org/10.1080/03610918.2010.549989.
- Polansky, A.M., and E.R. Baker. 2000. “Multistage Plug–in Bandwidth Selection for Kernel Distribution Function Estimates.” Journal of Statistical Computation and Simulation 65(1-4): 63–80. DOI: https://doi.org/10.1080/00949650008811990.
- Rammstedt, B., D. Danner, and M. Bosnjak. 2017. “Acquiescence Response Styles: a Multilevel Model Explaining Individual-level and Country-level differences.” Personality and Individual Differences 107:190–194. DOI: https://doi.org/10.1016/j.-paid.2016.11.038.
- Rocke, D.M., and D.L. Woodruff. 1996. “Identification of Outliers in Multivariate Data.” Journal of the American Statistical Association 91(435): 1047 – 1061. DOI: https://doi.org/10.2307/2291724.
- Rousseeuw, P.J. 1984. “Least Median of Squares Regression.” Journal of the American Statistical Association 79(388): 871–880. DOI: https://doi.org/10.1080/01621459.1984.10477105.
- Rousseeuw, P.J. 1985. “Multivariate Estimation With High Breakdown Point.” In Mathematical Statistics and Applications: Proceedings of the Fourth Pannonian Symposium on Mathematical Statistics and Probability, 283–297. Bad Tatzmannsdorf, Austria. September 4–10, 1985. Available at: https://wis.kuleuven.be/stat/robust/papers/publications-1985/rousseeuw-multivAriateestimationhighbreakdown-1985.pdf (accessed September 2020).
- Rousseeuw, P.J., and K.V. Driessen. 1999. “A Fast Algorithm for the Minimum Covariance Determinant Estimator.” Technometrics 41(3): 212–223. DOI: https://doi.org/10.1080/00401706.1999.10485670.
- Scherkenbach, W.W. 1986. The Deming Route to Quality and Productivity: Road Maps and Roadblocks. Washington, DC: CEE Press.
- Schouten, B., A. Peytchev, and J. Wagner. 2017. Adaptive Survey Design. Boca Raton, FL: Chapman & Hall/CRC.
- Shewhart, W.A. 1931. Economic Control of Quality of Manufactured Product. London: Macmillan.
- Simon, H.A. 1956. “Rational Choice and the Structure of the Environment.” Psychological Review 63(2): 129–138. DOI: https://doi.org/10.1037/h0042769.
- Sirkis, R., M. Jans, J. Dahlhamer, R. Gindi, and B. Duffey. 2011. “Using Statistical Process Control to Understand Variation in Computer-assisted Personal Interviewing Data.” In Proceedings of the Survey Research Methods Section, 477–489. Miami Beach, FL. July 30 – August 4, 2011. Available at: http://www.asasrms.org/Proceedings/y2011/Files/300484_65051.pdf (accessed September 2020).
- Wagner, J.R. 2008. “Adaptive Survey Design to Reduce Nonresponse Bias.” PhD Thesis, University of Michigan. Available at: https://deepblue.lib.umich.edu/bitstream/handle/2027.42/60831/jameswag_1.pdf?sequence=1&isAllowed=y (accessed January 2021).
- Yan, T., R. Tourangeau, and Z. Arens. 2004. “When Less is More: Are Reluctant Respondents Poor Reporters?” In Proceedings of the Survey Research Methods Section. Toronto, Canada. August 8-12, 2004. Available at: http://www.asasrms.org/Proceedings/y2004/files/Jsm2004-000169.pdf. (accessed September 2020).
DOI: https://doi.org/10.2478/jos-2021-0005 | Journal eISSN: 2001-7367
Language: English
Page range: 97 - 119
Submitted on: Jun 1, 2019
Accepted on: Sep 1, 2020
Published online: Mar 13, 2021
Published in print: Mar 1, 2021
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Keywords:
Related subjects:
© 2021 Jiayun Jin, Geert Loosveldt, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.