Director, Centre for Promoting Science Education, CUHK
Director, MSc Programme in Data Science and Business Statistics, CUHK
Teaching Awards
2011 (inaugural year)
UGC Award for Teaching Excellence, UGC Hong Kong
2008-2009
Best Teaching Award, Executive Diploma in Advanced Business Management, Asia Pacific Institute of Business, CUHK
2005-2006
Best Teaching Award, Executive Diploma in Advanced Business Management, Asia Pacific Institute of Business, CUHK
2002-2003
Exemplary Teaching Award, Faculty of Science, CUHK
1999-2000 (inaugural year)
Exemplary Teaching Award, Faculty of Science, CUHK
Background
Professor Isabella Wai-Yin Poon obtained her BSc in Mathematics in 1983 and MPhil in Statistics in 1985 from The Chinese University of Hong Kong, Ph.D in Biostatistics from the University of California at Los Angeles in 1987, and MBA with Distinction from the University of Hull in 1996. Professor Poon joined the Department of Statistics at CUHK in 1987 and is currently a Professor at the Department. She has served as Associate Dean (Education) in the Faculty of Science and Director of the MSc Programme in Data Science and Business Statistics since 2004, Director of the Centre for Promoting Science Education since 2006, and Director of CLEAR on a concurrent basis since 2012.
In September 2011, Professor Poon was conferred the inaugural UGC Award for Teaching Excellence, with the award citation given as follows: 'Professor Poon Wai-yin is a fully committed and selfless academic in advancing learning and teaching in higher education. Her own development as an educator has greatly contributed to her adopting learner-centred approaches in her work, as well as the spreading of such practices. As a driver for change, her leadership in bringing a cultural shift within her institution has been most impressive. Prof Poon indeed exemplifies exceptional commitment to and excellence in teaching, and she will contribute significantly to the UGC sector in this area.'
Research
Research Interests
Professor POON’s research interests lie in structural equation modeling and influence analysis as well as statistical methods for analyzing ordinal categorical data, categorical data with misclassification, multilevel data and ranking data. She also has passionate interests in enhancing teaching and learning, and has led and participated in a number of large-scale teaching-related projects.
(Updated as at March 2012)
Teaching Development Grants
"Engaging Science Students in the Design and Engagement of Assessment"
- Co-Principal Supervisor
- October 2005 – November 2008
- Grant amount: $200,000
"Development and Promotion of an Online Platform for Survey Research"
- Co-Supervisor
- October 2005 – November 2007
- Grant amount: $100,000
"Promoting the Use of the Outcome-Based Approach to Science Programmes: Development of Learning Outcome Statements and Measurement Instruments"
- Co-Principal Supervisor
- October 2006 – November 2008
- Grant amount: $1,000,000
"Using Clickers to Enhance Teaching and Learning: Pilot Case Studies in Science Programmes"
- Principal Supervisor
- December 2008 – October 2009
- Grant amount: $ 450,000
"The Development of an OBA Assessment Model for Science Subjects"
- Principal Supervisor
- August 2009 – July 2012
- Grant amount: $ 1,000,000
"Inter-faculty Academic-related Advising Service"
- Co-Principal Supervisor
- November 2009 – December 2012
- Grant amount: $ 1,507,000
Quality Education Funds
"Case-Based learning of High School Science Subjects to Support Learning to Learn"
- Deputy Project Coordinator
- August 2004 – October 2006
- Grant amount: $2,820,000
"Science Enrichment Programme for Secondary 3-4 Students"
- Deputy Project Leader
- September 2006 – December 2008
- Grant amount: $2,000,000
"The Development of Student-Oriented Teaching and Learning Resources in Science and a Science Enrichment Programme for Secondary 3-4 Students"
- Project Leader
- September 2008 – August 2011
- Grant amount: $ 3,500,000
Lee, S.Y. & Poon, W.Y. (1985). Further developments on constrained estimation in analysis of covariance structures. The Statistician, 34, 305-316.
2.
Lee, S.Y. & Poon, W.Y. (1986). Maximum likelihood estimation of polyserial correlations. Psychometrika, 51, 113-121.
3.
Lee, S.Y. & Poon, W.Y. (1987). Two-step estimation of multivariate polychoric correlation. Communications in Statistics: Theory and Methods, 16, 307-320.
4.
Poon, W.Y. & Lee, S.Y. (1987). Maximum likelihood estimation of multivariate polyserial and polychoric correlation coefficient. Psychometrika, 52, 409-430.
5.
Lee, S.Y. & Poon, W.Y. (1987). Maximum likelihood estimation of multiple correlations and canonical correlations with categorical data. Applied Psychological Measurement, 11, 317-323.
6.
Lee, S.Y. & Poon, W.Y. (1987). Generalized least squares and maximum likelihood estimation of multivariate polychoric correlations. Acta Mathematicae Applicatae Sinica, 3, 351-357.
7.
Lee, S.Y. & Poon, W.Y. (1988). Estimations of correlations in a multidimensional contingency table by GLS and partition GLS approaches. Computational Statistics Quarterly, 4, 59-70.
8.
Bentler, P.M., Poon, W.Y. & Lee, S.Y. (1988). Generalized multimode latent variable model: Implementation by standard programs. Computational Statistics and Data Analysis, 6, 107-118.
9.
Lee, S.Y. & Poon, W.Y. (1989). A general model for analysis of categorical data in several groups. Computational Statistics Quarterly, 5, 11-25.
10.
Lee, S.Y., Poon, W.Y. & Bentler, P.M. (1989). Simultaneous analysis of multivariate polytomous variates in several groups. Psychometrika,54, 63-73.
11.
Lee, S.Y., Poon, W.Y. & Bentler, P.M. (1990). Full maximum likelihood analysis of structural equation models with polytomous variables. Statistics and Probability Letters, 9, 91-97.
12.
Lee, S.Y., Poon, W.Y. & Bentler, P.M. (1990). A three-stage estimation procedure for structural equation models with polytomous variables. Psychometrika, 55, 45-51.
13.
Poon, W.Y., Lee, S.Y., Afifif, A.A. & Bentler, P.M. (1990). Analysis of multivariate polytomous variates in several groups via the partition maximum likelihood approach. Computational Statistics and Data Analysis, 10, 17-27.
14.
Lee, M.L., Poon, W.Y. & Kingdon, H.S. (1990). A two-phase linear regression model for biological half-life data. The Journal of Laboratory and Clinical Medicine, 115, 745-748.
15.
Poon, W.Y., Lee, S.Y. & Bentler, P.M. (1990). Pseudo maximum likelihood estimation of multivariate polychoric and polyserial correlations. Computational Statistics Quarterly, 1, 41-53.
16.
Fu, F.H. & Poon, W.Y. (1990). A comparison of the development of sport culture in the People’s Republic of China and Hong Kong (A preliminary report). Journal of International Council for Health Physical Education and Recreation, Fall, 9-16.
17.
Lee, S.Y., Poon, W.Y. & Bentler, P.M. (1992). Structural equation models with continuous and polytomous variables. Psychometrika, 57, 89-105.
18.
Poon, W.Y. & Lee, S.Y. (1992). Maximum likelihood and generalized least squared analyses of two-level structural equation models. Statistics and Probability Letters, 14, 25-30.
19.
Poon, W.Y. & Lee, S.Y. (1992). Statistical analysis of continuous and polytomous variables in several populations. British Journal of Mathematical and Statistical Psychology, 45, 139-149.
20.
Lee, S.Y. & Poon, W.Y. (1992). Two-level analysis of covariance structures for unbalanced designs with small level-one samples. British Journal of Mathematical and Statistical Psychology, 45, 109-123.
21.
Poon, W.Y., Lee, S.Y., Bentler, P.M. & Afifif, A.A. (1993). Covariance structural analysis with polytomous variables in several populations. Acta Mathematicae Applicatae Sinica, 9, 63-70.
22.
Yau, Linda H.Y., Lee, S.Y. & Poon, W.Y. (1993). Covariance structure analysis with three-level data. Computational Statistics and Data Analysis, 15, 159-178.
23.
Lee, S.Y. & Poon, W.Y. (1993). Structural equation models with hierarchical data. In K. Haagen, D.J. Bartholomew & M. Deistler (Eds) Statistical Modelling and Latent Variables, 203-227. North-Holland: Elsevier Science Publishers.
24.
Poon, W.Y., Lee, S.Y. & Bentler, P.M. (1993). Maximum likelihood estimation in a model with interval data. Journal of Applied Statistics, 20, 219-227.
25.
Poon, W.Y. & Leung, Y.P. (1993). Analysis of structural equation models with interval and polytomous data. Statistics and Probability Letters, 17, 127-137.
26.
Poon, W.Y. & Lee, S.Y. (1994). A distribution free approach for analysis of two-level structural equation model. Computational Statistics and Data Analysis, 17, 265-275.
27.
Lee, S.Y., Poon, W.Y. & Bentler, P.M. (1994). Covariance and correlation structure analyses with continuous and polytomous variables. Multivariate Analysis and Its Applications, IMS Lecture Notes-Monograph Series, 24, 347-358.
28.
Lee, S.Y. & Poon, W.Y. (1995). Estimation of factor scores in a two-level confirmatory factor analysis model. Computational Statistics and Data Analysis, 20, 275-284.
29.
Lee, S.Y., Poon, W.Y. & Bentler, P.M. (1995). A two-stage estimation of structural equation models with continuous and polytomous variables. British Journal of Mathematical and Statistical Psychology, 48, 339-358.
30.
Poon, W.Y. & Hung, H.Y. (1996). Analysis of square tables with ordered categories. Computational Statistics and Data Analysis, 22, 303-322.
31.
Poon, W.Y., Lee, S.Y. & Tang, M.L. (1997). Analysis of structural equation models with censored data. British Journal of Mathematical and Statistical Psychology, 50, 227-241.
32.
Poon, W.Y., Tang, M.L. & Lee, S.Y. (1997). Analysis of covariance structures with truncated variables. Behaviormetrika, 24, 39-50.
33.
Lee, S.Y. & Poon, W.Y. (1998). Analysis of two-level structural equation models via EM type algorithms. Statistica Sinica, 8, 749-766.
34.
Poon, W.Y. & Poon, Y.S. (1999). Conformal normal curvature and assessment of local influence. Journal of Royal Statistical Society, B, 61, 51-61.
35.
Poon, W.Y. & Lee, C.M. (1999). Sources of heterogeneity in distributions with ordered categorical variables. Journal of Applied Statistics, 26, 383-392.
36.
Poon, W.Y. (1999). Bayesian analysis of square ordinal-ordinal tables. British Journal of Mathematical and Statistical Psychology, 52, 111-124.
37.
Poon, W.Y., Wang, S.J. & Lee, S.Y. (1999). Influence analysis of structural equation models with polytomous variables. Psychometrika, 64, 461-473.
38.
Poon, W.Y. & Lee, S.Y. (1999). Two practical issues in using LISCOMP for analysing continuous and ordered categorical variables. British Journal of Mathematical and Statistical Psychology, 52, 195-211.
39.
Poon, W.Y., Lew, S.F. & Poon, Y.S. (2000). A local influence approach to identify multiple multivariate outliers. British Journal of Mathematical and Statistical Psychology, 53, 255-273.
40.
Poon, W.Y. & Poon, Y.S. (2001). Conditional local influences in case-weights linear regression. British Journal of Mathematical and Statistical Psychology, 54, 177-191.
41.
Poon, W.Y. & Tang, M.L. (2001). Influence measure in maximum likelihood estimate to models of lifetime data. Journal of Applied Statistics, 28, 737-742.
42.
Poon, W.Y. & Poon, Y.S. (2002). Influential observations in the estimation of mean vector and covariance matrix. British Journal of Mathematical and Statistical Psychology, 55, 177-192.
43.
Poon, W.Y., Leung, K. & Lee, S.Y. (2002). The Comparison of single item constructs by relative mean and relative variance. Organizational Research Methods, 5, 275-298.
44.
Poon, W.Y. & Ng, S.C. (2002). Identification of influential cells in the analysis of ordinal square tables. British Journal of Mathematical and Statistical Psychology, 55, 231-246.
45.
Poon, W.Y. & Poon, Y.S. (2002). Total behavior of likelihood displacement. Statistica Sinica, 12, 599-607.
46.
Poon, W.Y. & Chan, W. (2002). Influence analysis of ranking data. Psychometrika, 67 , 421-436.
Poon, W.Y., Tang, M.L. & Wang, S.J. (2003). Influence measures in contingency table with application in sampling zeros. Sociological Methods and Research, 31, 439-452.
49.
Lee, S.Y., Song, X.Y. & Poon, W.Y. (2004). Comparison of approaches in estimating interaction and quadratic effects of latent variables. Multivariate Behavioral Research, 39(1), 37-67.
50.
Poon, W.Y. & Wong, Y.K. (2004). A forward search procedure to identifying influential observations in the estimation of covariance matrix. Structural Equation Modeling: A Multidisciplinary Journal, 11(3), 357-374.
51.
Poon, W.Y. (2004). Identifying influential observations in discriminant analysis. Statistical Methods in Medical Research: An International Review Journal, 13(4), 291-308.
52.
Poon, W.Y. (2004). A latent normal distribution model for analyzing ordinal responses with applications in meta-analysis. Statistics in Medicine, 23(14), 2155-2172.
53.
Poon, W.Y. (2006). Identifying influential observations in logistic discriminant analysis. Statistics and Probability Letters, 76, 1348-1355.
54.
Bai, Y., Poon, W.Y. & Cheung, G. W.H. (2006). Analysis of a two-level structural equation model with group-specific variables in LISREL. Structural Equation Modeling: A Multidisciplinary Journal, 13(4), 544-565.
55.
Xu, L., Lee, S.Y. & Poon, W.Y. (2006). Deletion measures for generalized linear mixed effects models. Computational Statistics and Data Analysis, 51, 1131-1146.
56.
Poon, W.Y. & Poon, Y.S. (2007). Local Conditional Influence. Journal of Applied Statistics, 34(8) 997-1009.
57.
Lee, S.Y., Poon, W.Y. & Song, X.Y. (2007). Bayesian analysis of factor model with finance application. Quantitative Finance, 7, 343-356.
58.
Tang, M.L. & Poon, W.Y. (2007). Statistical inference for equivalence trials with ordinal responses: A latent normal distribution approach. Computational Statistics and Data Analysis, 51, 5918-5926.
59.
Poon, W.Y. (2007). The Analysis of Structural Equation Model with Ranking Data using Mx. Latent Variable and Related Models. S.Y. Lee (eds), 189-207, Elsevier.
60.
Yiu C.F. & Poon, W.Y. (2008). Estimating the polychoric correlation from misclassified data. British Journal of Mathematical and Statistical Psychology, 61, 49-74.
61.
Xu, L, Poon, W.Y. & Lee, S.Y. (2008). Influence analysis for the factor analysis model with ranking data. British Journal of Mathematical and Statistical Psychology, 61, 133-161.
62.
Bai, Y. & Poon, W.Y. (2009). Using Mx to Analyze Cross-Level Effects in Two-Level Structural Equation Models, Structural Equation Modeling: A Multidisciplinary Journal, 16.1, 163-178.
63.
Poon, W.Y., McNaught, C, Lam, P. & Kwan, H.S. (2009). Improving assessment methods in university science education with negotiated self- and peer-assessment. Journal of Assessment in Education: Principles, Policy and Practice, 16:3, 331-346.
64.
Poon, W.Y. & Xu, L. (2009). On the modeling and estimation of attribute rankings with ties in the Thurstonian framework. British Journal of Mathematical and Statistical Psychology, 62, 507-527.
65.
Poon, W.Y. & Wang, H.B. (2010). Analysis of ordinal categorical data with misclassification. British Journal of Mathematical and Statistical Psychology, 63, 17-42.
66.
Poon, W.Y. & Wang, H.B. (2010). Analysis of two-level structural equation model with missing data. Sociological Methods and Research, 39, 25-55.
67.
Poon, W.Y. & Wang, H.B. (2010). Bayesian analysis of multivariate probit models with surrogate outcome data. Psychometrika, 75, 498-520.
68.
Tang, M.L., Poon, W.Y., Ling, L., Liao, Y. & Chui. H.W. (2011). Approximate unconditional test procedure for comparing two ordered multinomials. Computational Statistics and Data Analysis, 55, 955-963.
69.
Lu, T.Y., Poon, W.Y. & Tsang, Y.F. (2011). Latent growth curve modeling for longitudinal ordinal responses with applications. Computational Statistics and Data Analysis, 55, 1488-1497.
70.
Li, H.Q, Tang, M.L. & Poon, W.Y. (2011). Confidence intervals for difference between two Poisson rates. Communications in Statistics, Simulation and Computation, 40.9 (October), 1478-1493.
71.
Tang, M.L., Qiu, S.F., Poon, W.Y. & Tang, N.S. (2012). Test procedures for disease prevalence with partially validated data. Journal of Biopharmaceutical Statistics, 22, 368-386.
72.
Tang, M.L., Qiu, S.F. & Poon, W.Y. (2012). Confidence interval construction for disease prevalence based on partial validation series, Computational Statistics and Data Analysis, 56, 1200-1220.
73.
Poon, W.Y. & Wang, H.B. (in press). Latent variable models with ordinal categorical covariates. Statistics and Computing.
74.
Lu, T.Y., Poon, W.Y. & Cheung, S.H. (in press) Multiple comparisons with a control for a latent variable model with ordered categorical responses. Statistical Methods in Medical Research: An International Review Journal.
75.
Qiu, S.F., Poon, W.Y. & Tang, M.L. (in press). Sample size determination for disease prevalence studies with partially validated data. Statistical Methods in Medical Research: An International Review Journal.
Publications: Teaching and Learning Resources
1.
Cheung, S.H. & Poon, W.Y. (2007). Marketing research: Assess the feasibility of opening a snack counter at your school. In “Case-base Learning of High School Science Subjects to Support Learning to Learn”, Centre for Promoting Science Education, Faculty of Science, CUHK.
Cheung S.H. & Poon W.Y. (2007). Marketing research: Using a sampling survey to assess the feasibility of opening a snack counter at your school”. In “Case-base Learning of High School Science Subjects to Support Learning to Learn”, Centre for Promoting Science Education, Faculty of Science, CUHK.
Cheung S.H. & Poon W.Y. (2010). Statistics: A case study. In “Identifying Gifted Science Students: Practical Instruments”, Centre for Promoting Science Education, Faculty of Science, The Chinese University of Hong Kong.
Poon W.Y. & Cheung, S.H (2011). Dispersion Measures. In “A Science Enrichment Programme for S3-4 Students: Teacher Version”, Centre for Promoting Science Education, Faculty of Science, The Chinese University of Hong Kong.
Poon W.Y. & Cheung, S.H (2011). Dispersion Measures. In “A Science Enrichment Programme for S3-4 Students: Student Version”, Centre for Promoting Science Education, Faculty of Science, The Chinese University of Hong Kong.
Poon W.Y. & Cheung, S.H (2011). An Introduction to Regression Analysis. In “A Science Enrichment Programme for S3-4 Students: Teacher Version”, Centre for Promoting Science Education, Faculty of Science, The Chinese University of Hong Kong.
Poon W.Y. & Cheung, S.H (2011) An Introduction to Regression Analysis. In “A Science Enrichment Programme for S3-4 Students: Student Version”, Centre for Promoting Science Education, Faculty of Science, The Chinese University of Hong Kong.
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