Research

Publications

  1. Tze, V. M. C., & Li, J. C.-H. (2025). Obstacles to diversification: Lived experiences of visible minority applicants and faculty members in psychology. Canadian Psychology / Psychologie canadienne. Advance online publication. https://doi.org/10.1037/cap0000417
  2. Kilborn, K., Montgomery, J., Li, J. C.-H., Shooshtari, S., Roy, R., Cheri, B., Tze, V., & Gaulke, T. (2024). Feasibility of evidence-based social and emotional learning in Prairie Canadian schools. Canadian Journal of School Psychology, 39(2), 132-150. https://doi.org/10.1177/08295735241234782
  1. Andries, M., Robert, A. J. A., Lyons, A. L., Rawliuk, T. R. D., Li, J. C.-H., & Greening, S. G. (2024). Attention control mediates the relationship between mental imagery vividness and emotion regulation. Consciousness and Cognition, 125, 103766. https://doi.org/10.1016/j.concog.2024.103766
  1. Kim, J., & Li, J. C.-H. (2023). Which robust regression technique is appropriate under violated assumptions? A simulation study.Methodology, 19(4), 323-347. https://doi.org/10.5964/meth.8285
  1. Cheng, Y., Pérez-Díaz, P. A., Petrides, K. V., & Li, J. C.-H. (2023). Monte Carlo simulation with confusion matrix paradigm – A sample of internal consistency indices. Frontiers in Psychology, 14, 1298534. https://doi.org/10.3389/fpsyg.2023.1298534
  1. But, C. H., Li, J. C.-H. & Tze, V. M. C. Boredom coping profiles among international students in canada and canadian students: similarities and differences. Current Psychology,42, 18431–18446. https://doi.org/10.1007/s12144-022-03031-z
  1. Jones, C. A.,Li, J. C. H., Hall, M., Bertholet, R., Turk, T., & Sadowski, C. A.  (2023). Interprofessional peer-assisted learning for pharmacy and physical therapy students using inhalers and inhalation devices. BMC Medical Education, 23(1), 301. https://doi.org/10.1186/s12909-023-04297-y
  1. Li, J. C.-H. (2022). Bootstrap confidence intervals for 11 robust correlations in the presence of outliers and leverage observations. Methodology, 18(2), 99-125. https://doi.org/10.5964/meth.8467
  1. Gonzales, I., & Li, J. C. H. (2022). What effect sizes should researchers report for multiple regression under non-normal data? Communications in Statistics – Simulation and Computation, 53(6), 2786–2804. https://doi.org/10.1080/03610918.2022.2091778
  1. Tze, V. M. C., Li, J. C.-H., & Daniels, L. M. (2022). Similarities and differences in social and emotional profiles among students in Canada, USA, China, and Singapore: PISA 2015. Research Papers in Education, 37(4), 558-583. https://doi.org/1080/02671522.2020.1864760
  1. Parker, P. C., Perry, R. P., Chipperfield, J. G., Hamm, J. M., Li, J. C.-H., Leboe-McGowan, L., & Coffee, P. (2022). Motivation profiles of student athletes and non-athletes in competitive achievement settings: A latent profile analysis. Journal of Contemporary Athletics, 15, 187-208
  1. Li, J. C.-H., & Tze, V. M. C. (2021). Analytic and bootstrap confidence intervals for the common-language effect size estimate. Methodology, 17, 1-21. https://doi.org/10.5964/meth.4495
  1. Au, A. H., Shum, K. K., Cheng, Y., Tse, H. M., Wong, R. M., Li, J. C.-H., & Au, T. K. (2021). Autism spectrum disorder screening in preschools. Autism : the international journal of research and practice, 25(2), 516–528. https://doi.org/10.1177/1362361320967529
  1. Tze, V. M. C., J. C.-H. & Parker, P. (2021). A mediation analysis of emotions based on the control-value theory. Current Psychology. https://doi.org/10.1007/s12144-021-01840-2
  1. Tze, V. M. C, & J. C.-H. (2021). Should science be a subject that we should keep our mind cool? A systematic evaluation using TIMSS 2015 data. Motivation and Emotion, 45, 377-396. https://doi.org/10.1007/s11031-021-09880-8
  1. Mitchell, K., McMillan, D. E., Lobchuk, M. M., Nickel, N. C., Rabbani, R., & Li, J. C.- H. (2021). Development and validation of the Situated Academic Writing Self-Efficacy Scale (SAWSES). Assessing Writing, 48, 100524. https://doi.org/10.1016/j.saw.2021.100524
  1. Li, J. C.-H.,Nesca, M., Waisman, R., Cheng, Y., & Tze, V. M. (2021). A robust effect size for MANOVA with non-normal and non-homogenous data. Methodological Innovations, 14, 3. https://doi.org/10.1177/20597991211055949
  1. Li, J. C.-H., & Waisman, R. (2019). Probability of bivariate superiority: A non-parametric common-language statistic for detecting bivariate relationships. Behavior Research Methods, 51, 258-279. https://doi.org/10.3758/s13428-018-1089-5
  1. Li, J. C.-H., & Tze, V. M. C. (2019). Moderation in lifespan developmental analyses. Oxford Research Encyclopedia of Psychology. Oxford University Press. https://doi.org/10.1093/acrefore/9780190236557.013.35
  1. Zhoc, K., Webster, B. J, King, R. B., Li, J. C.-H., & Chung, T. (2019). Higher education student engagement scale (HESES): Development and psychometric evidence, Research in Higher Education, 60, 219-244. https://doi.org/10.1007/s11162-018-9510-6
  1. Lai, V. K. W., Li, J. C.-H., & Lee, A. (2019). Psychometric validation of the Chinese Patient- and Family Satisfaction in the Intensive Care Unit questionnaires. Journal of Critical Care, 54, 58 – 64. https://doi.org/10.1016/j.jcrc.2019.07.009
  1. Li, J. C.-H. (2018). Probability-of-superiority SEM (PS-SEM)—Detecting probability-based multivariate relationships in behavioral research. Frontiers in Psychology, 9:883. https://doi.org/10.3389/fpsyg.2018.00883
  1. Li, J. C.-H. (2018). Curvilinear moderation—A more complete examination of moderation effects in behavioral sciences. Frontiers in Applied Mathematics and Statistics, 4:7, https://doi.org/3389/fams.2018.00007
  1. Cheng, Y., Li, J. C.-H., & Liu, X. (2018). Limited usefulness of capture procedure and capture percentage for evaluating reproducibility in psychological science. Frontiers in Psychology, 9:1657. https://doi.org/10.3389/fpsyg.2018.01657
  1. Zhoc, K., Li, J. C.-H., & Webster, B. J. (2017). New reliability and validity evidence of the emotional intelligence scale. Journal of Psychoeducational Assessment, 35, 519-614. https://doi.org/10.1177/0734282916653901
  1. Kutnick, P., Fung, C., Mok, I., Leung, F., Li, J. C.-H., Lee, P., & Lai, V. (2017). Implementing effective group work for mathematical achievement in primary school classrooms in Hong Kong. International Journal of Science and Mathematics Education, 15, 957-978. https://doi.org/10.1007/s10763-016-9729-7
  1. Li, J. C.-H. (2016). Effect size measures in a two independent-samples case with non-normal and non-homogeneous data. Behavior Research Methods, 48, 1560-1574. https://doi.org/10.3758/s13428-015-0667-z
  1. Li, J. C.-H. (2015). Cohen’s d corrected for Case IV range restriction: A more accurate procedure for evaluating group differences in organizational research. Personnel Psychology, 68, 899-927. https://doi.org/10.1111/peps.12096
  1. Cui, Y., & Li, J. C.-H. (2015). Evaluating person fit for cognitive diagnostic assessment. Applied Psychological Measurement, 39, 223-238. https://doi.org /10.1177/0146621614557272.
  1. Bury, R., & Li, J. C.-H. (2015). Is it live or is it timeshifted, streamed or downloaded? Watching television in the era of multiple screens. New Media and Society, 17, 592 – 610. https://doi.org/1177/1461444813508368
  1. Sadowski, C., Li, J. C.-H., Passay, D., & Jones, A. (2015). Interprofessional peer teaching of pharmacy and physical therapy students. American Journal of Pharmaceutical Education, 79, 155. https://doi.org/10.5688/ajpe7910155
  1. Li, J. C.-H., Cui, Y., & Chan, W. (2013). Bootstrap confidence intervals for the mean correlation corrected for Case IV range restriction – A more adequate procedure for meta-analysis. Journal of Applied Psychology, 98, 183-193. https://doi.org/10.1037/a0029946
  1. Tze, V. M. C., Daniels, L. M., Klassen, R. M., & Li, J. C.-H.(2013). Canadian and Chinese university students’ approaches to coping with academic boredom. Learning and Individual Differences, 23, 32-43. https://doi.org/10.1016/j.lindif.2012.10.015
  1. Tze, V. M. C., Klassen, R. M., Daniels, L. M., Li, J. C.-H., & Zhang, X. (2013). A cross-cultural validation of the Learning-Related Boredom Scale (LRBS) with Canadian and Chinese college students. Journal of Psychoeducational Assessment, 31, 29-39. https://doi.org/10.1177/0734282912443670
  1. Gierl, M. J., Lai, H., & Li, J. C.-H.(2013). Identifying differential item functioning in multi-stage computer adaptive testing, Educational Research and Evaluation: An International Journal on Theory and Practice, 19, 188-203. https://doi.org/10.1080/13803611.2013.767622
  1. Cui, Y., & , J. C.-H. (2012). Evaluating the performanceof parametric and non-parametric procedures of constructing confidence interval for coefficient alpha: A simulation study. British Journal of Mathematical and Statistical Psychology, 65, 467-498. https://doi.org/10.1111/j.2044-8317.2012.02038.x
  1. Tze, V. M. C., Li, J. C.-H., & Pei, J. (2012). Effective prevention of adolescent substance abuse – educational versus deterrent approaches. Alberta Journal of Educational Research, 58, 122-138. https://doi.org/10.11575/ajer.v58i1.55560
  1. Li, J. C.-H., Lau, W., & Au, T. K. (2011). Psychometric properties of the Spence Children’s Anxiety Scale in a Hong Kong Chinese community sample. Journal of Anxiety Disorders, 25, 584-591.https://doi.org/10.1016/j.janxdis.2011.01.007
  1. Li, J. C.-H., Chan, W., & Cui, Y. (2011). Bootstrap standard error and confidence intervals for the correlationscorrected for indirect range restriction. British Journal of Mathematical and Statistical Psychology, 64, 367-387. https://doi.org/1348/2044-8317.002007
  1. Lau, W., Chan, C. K., Li, J. C.-H., & Au, T. K. (2010). Effectiveness of group cognitive behavioral treatment for childhood anxiety in community clinics. Behaviour Research and Therapy, 48, 1067-1077. https://doi.org/10.1016/j.brat.2010.07.007

 

Presentations

  1. Li, J. C.-H. & Aurora, R. (2025). Bootstrap confidence intervals for regularized lasso regression with high dimensional data. Paper submitted for the Canadian Psychological Association Convention, St. John’s, Canada (June 12 – 14)
  1. Chirkov, V., McMullen, L., Howard, A., Mackinnon, S., & Li, J. C.-H. (2025). Science literacy unpacked: A dialogue between qualitative and quantitative researchers on key research concepts. Round table discussion submitted for the Canadian Psychological Association Convention, St. John’s, Canada (June 12 – 14)
  1. Li, J. C.-H. & Tze, V. M. C. (2025). How do students feel when they attend a mathematics class at school? A latent profile analysis of the PISA 2022 database. Paper submitted for the Western Psychological Association Convention, Las Vegas, United States (May 1 – 4)
  1. Li, J. C.-H. & Tze, V. M. C. (2025). Voices from minority applicants to graduate professional psychology programs: Their frustration and wish. Paper submitted for the Western Psychological Association Convention, Las Vegas, United States (May 1 – 4)
  1. Li, J. C.-H. & Tze, V. M. C. (2025). Are students bored, challenged, nervous, or motivated in attending a language lesson? A latent profile analysis of the PISA 2022 database. Paper submitted for the 2025 International Conference on Open and Innovation Education, Hong Kong, China (July 9 – 11)
  1. Li, J. C.-H., & Tze, V. M. C. (2025) Predicting students’ health status based on their well-being features derived from the PISA 2022 database: A data-mining SMOTE approach. Paper submitted for the 2025 International Conference on Open and Innovation Education, Hong Kong, China (July 9 – 11)
  1. Tze V. M. C., & Li, J. C.-H. (2025). Animated videos as an intervention tool to combat boredom. Paper submitted for the 2025 International Conference on Open and Innovation Education, Hong Kong, China (July 9 – 11)
  1. Li, J. C.-H. (2024). Path coefficients corrected for range restriction based on a modern, multiple imputation missing data handling approach: A Monte Carlo simulation. Paper presented at the Canadian Psychological Association Convention, Ottawa, Canada (June 21 – 23)
  1. Li, J. C.-H. & Robert, A. (2024). Incorporating modern, robust statistics into graduate quantitative methods training. Paper presented at the Canadian Psychological Association Convention, Ottawa, Canada (June 21 – 23)
  1. Duguay, K. & Li, J. C.-H (2024). Is Cliff’s delta more robust to kurtosis than Robust Cohen’s D? Poster presented at the Canadian Psychological Association Convention, Ottawa, Canada (June 21 – 23). Note: this study won the Quantitative Methods Student Travel Award.
  1. Robert, A., Tess, V., Wong, W., & Li, J. C.-H. (2024). Agent-Based Modeling for psychological research. Paper presented at the Canadian Psychological Association Convention, Ottawa, Canada (June 21 – 23)
  1. Li, J. C.-H., & Tze, V. M. C. (2023). Comparing the performance of the generalized common-language effect size (AAPD) with and Cohen’s  in ANOVA designs: A Monte Carlo simulation study. Paper presented at the Canadian Psychological Association Convention, Toronto, Canada (June 19).

 

  1. Foster, G., & Li, J. C.-H. (2023). Systematic review: The consequences of childhood maltreatment on intimate relationships in adulthood. Paper presented at the Canadian Psychological Association Convention, Toronto, Canada (June 19).

 

  1. Tze, V. M. C., Li, J. C.-H., Sukovieff, A., Parker, P., Daniels, L. (2023). Examining what, where, when, why and how we learn and perform. Paper presented at the Canadian Psychological Association Convention, Toronto, Canada (June 19).
  1. Li, J. C.-H., Cheng, Y., & Gonzales, I. (2022). How likely do researchers conclude a meaningful effect but there is no effect in reality? Symposium presented at the Canadian Psychological Association Convention (June 19; virtual).
  1. Li, J. C.-H. (2022). Should researchers need a larger sample size when they plan their studies based on power analysis? Paper presented at the Canadian Psychological Association Convention (June 19; virtual).
  1. Li, J. C.-H. & Zeng, J. (2022). A cognitive assessment of PISA 2018 math items: What skills did Canadian students master? Paper presented at the Canadian Psychological Association Convention (June 18; virtual).
  1. Li, J. C.-H. (2021). Effect Size Measures for Mediation Analysis. Symposium presented at the Canadian Psychological Association Convention (June 16; virtual).
  1. Gonzales, I., & Li, J. C.-H. (2021). What Regression-Coefficient Effect Sizes Should Researchers Report for Multiple Regression under Non-Normal Data? Paper snapshot presented at the Canadian Psychological Association Convention (April 13 – June 25; virtual).
  1. Tze, V. M. C., & Li, J. C.-H. (2021). Should science be a subject that we should stay emotionally neutral?Paper presented at the Canadian Psychological Association Convention. (April 13 – June 25; virtual)
  1. Tze, V. M. C., & Li, J. C.-H. (2021). The mediating role of boredom and enjoyment between perceived control/value and TIMSS 2015 math performance. Paper presented at the Canadian Psychological Association Convention (April 13– June 25; virtual)
  1. Li, J. C.-H., & Tze, V. M. C. (2020). New approaches in evaluating reproducibility: A simulation study. Symposium presented at the Canadian Psychological Association Convention. (July 6 – August 28, virtual)
  1. Li, J. C.-H., But, C., & Tze, V. M. C. (2020). How do Canadian and international university students differ in coping with boredom? Paper presented at the Canadian Psychological Association Convention. (July 6– August 28; virtual)
  1. Li, J. C.-H., & Tze, V. M. C. (2020). Reporting practices in latent class/profile analyses: A review and some implications. Paper presented at the Canadian Psychological Association Convention. (July 6 – August 28; virtual)
  1. Gonzales, I. & Li, J. C.-H. (2020). What effect sizes should researchers report for multiple regression under non-normal data? Paper presented at the Canadian Psychological Association Convention. (July 6 – August 28; virtual)
  1. Li, J. C.-H. (2019). Probability-of-superiority (PS) reliability assessment. Symposium presented at the Canadian Psychological Association Convention, Halifax, Canada. (May 31 – June 2)
  1. Li, J. C.-H., & Tze, V. M. C. (2019). New philosophical and methodological perspectives on reproducibility crisis. Paper accepted at the Canadian Psychological Association Convention, Halifax, Canada. (May 31 – June 2)
  1. Tze, V. M. C., & Li, J. C.-H. (2019). Latent profile analysis of social-emotional skills from the Programme for International Student Assessment (PISA). Poster presented at the American Educational Research Association (AERA), Toronto, Canada. (April 5 – 9)
  1. Li, J. C.-H. (2018a). Probability-of-superiority-based statistics ( and ) – A more sensitive and appropriate approach in detecting group differences in psychological experiments. Paper presented at the Canadian Psychological Association Convention, Montreal, Canada. (June 26 – 30)
  1. Li, J. C.-H. (2018b). Confidence interval for probability-of-superiority: a new and important effect size measure. Poster presented at the 2018 Annual Meeting of the American Psychological Association (APA), San Francisco, United States. (August 8 – 12)
  1. Li, J. C.-H., Gierl, M., & Krylova, M. (2018) What learning skills have Canadian students mastered? A cognitive assessment of the PISA database. Paper presented at the Annual Meeting of the Canadian Society for the Study of Education (CSSE), Regina, Canada. (May 26 – 30)
  1. Nesca, M., & Li, J. C.-H. (2018). Evaluating literacy in the information age: Statistical Literacy Diagnostic Tool (SLDT). Paper presented at the Canadian Psychological Association Convention, Montreal, Canada. (June 26 – 30)
  1. Liu, X., Cheng, Y., & Li, J. C.-H. (2018). The common misconception of confidence interval in replication studies. Poster presented at the Annual Meeting of the American Psychological Association (APA), San Francisco, United States. (August 8th– 12th, 2018)
  1. Ladipo, O., & Li, J. C.-H. (2018). Prior statistical knowledge and performance: Mediator analysis of statistics anxiety. Poster presented at the International Meeting of Psychometric Society (IMPS), New York City, United States. (July 10 – 13)
  1. Parker, P., Perry, R., Chipperfield, J., Hamm, J., Li, J. C.-H., & Coffee, P. (2018). Exploring motivation profiles of students involved in competitive sport: A Latent Profile Analysis. Poster presented at the Health, Leisure, and Human Performance Research Institute, Winnipeg, Canada. (May 8)
  1. Li, J. C.-H., Cheng, Y., Bi, J., & Waisman, R. (2017). Bootstrap confidence intervals in meta-analysis—a more robust procedure. Symposium presented at the Canadian Psychological Association Convention, Toronto, Canada. (June 7 – 9)
  1. Cheng, Y., Li, J. C.-H., & Waisman, R. (2017a). The probability of replicating effect size: Can we (partly) blame inappropriate statistical methods for the replication crisis? Symposium presented at the Canadian Psychological Association Convention, Toronto, Canada. (June 7 – 9)
  1. Cheng, Y., Li, J. C.-H., & Waisman, R. (2017b). Bootstrapping – Enhancing successful replication of effect size estimates. Paper presented at the International Meeting of the Psychometrics Society (IMPS), Zurich, Switzerland. (July 18 – 21)
  1. Li, J. C.-H. (2016a). Estimation and computational methods – Non-linear moderation. Paper presented at the International Meeting of the Psychometrics Society (IMPS), Asheville, United States. (July 12- 15)
  1. Li, J. C.-H. (2016b). Causal inference and mediation – Perceived beneficial modeling. Paper presented at the International Meeting of the Psychometrics Society (IMPS), Asheville, United States. (July 12 – 15)
  1. Li, J. C.-H. (2016c). McDonald’s omega reliability coefficient corrected for indirect range restriction – A more accurate procedure in I/O psychology. Poster presented at the Canadian Psychological Association Convention, Victoria, Canada (June 9 – 11)
  1. Li, J. C.-H. (2016d). Robust correlations and confidence intervals for non-normal and outlier data. Poster presented at the Canadian Psychological Association Convention, Victoria, Canada. (June 9 – 11)
  1. Cheng, Y., &Li, J. C.-H. (2016). Several ES measurement methods’ performance under non-normal ordinal multiple dataset- A Monte Carlo study. Paper presented at the International Meeting of the Psychometrics Society (IMPS), Asheville, United States. (July 12 – 15)
  1. Tara, L., Johnson, E., & Li, J. C.-H. (2016). An examination of the self-compassion scale factor structure. Poster presented at the Canadian Psychological Association Convention, Victoria, Canada. (July 12 – 15)
  1. Waisman, R., & Li, J. C.-H. (2016). Meta-analysis of omega composite reliability: An overestimation problem revealed? Poster presented at the International Meeting of the Psychometric Society, Asheville, NC, United States. (July 12 – 15)
  1. Waisman, R. M., & Li, J. C.-H. (2016b). Estimating composite reliability of multi-dimensional tests: Is omega better or problematic? Paper presented at the University of Winnipeg 33rd Annual Prairie Undergraduate Research Conference, Winnipeg, Manitoba, Canada. (April 22).
  1. Li, J. C.-H. (2015). Effect size measures in a two independent-samples case with nonnormal and nonhomogeneous data. Poster presented at the Annual Meeting of the American Psychological Association (APA). Toronto, Canada. (August 6 – 9).
  1. Li, J C.-H., Nesca, M., Waisman, R., & Cheng, Y. (2015). Effect sizes measures in one-way MANOVA with nonnormal and nonhomogeneous data. Paper presented at the International Meeting of Psychometric Society (IMPS). Beijing, China. (July 12 – 16).
  1. Li, J. C.-H.(2013). Evaluating the performance of the uncorrected and corrected mean reliability alpha for range restriction in meta-analysis: A Monte Carlo study. Paper presented at the 2013 annual meeting of the British Psychological Society, Harrogate, United Kingdom. (April 9 – 11)
  1. Li, J. C.-H., Cui, Y., Gierl, M. J., & Chan, W. (2012). Bootstrap confidence intervals for range-restricted coefficient alpha. Poster presented at the Annual Meeting of the American Educational Research Association (AERA), Vancouver, Canada. (April 13 – 17)
  1. Li, J. C.-H., Cui, Y., Gierl, M. J., & Chan, W. (2011). Bootstrap confidence intervals for the meta-analysis of correlations corrected for indirect range restriction. Paper presented at the International Meeting of the Psychometric Society, Hong Kong. (July 18 – 22)
  1. Cui, Y., & Li, J. C.-H. (2011). Evaluating the performance of parametric and non-parametric procedures of constructing confidence interval for coefficient alpha: a simulation study. Paper presented at the Annual Meeting, American Educational Research Association (AERA), New Orleans, United States. (April 8– 12)
  1. Lai, H., Li, J. C.-H., & Gierl, M. J. (2011). Effectiveness of CATSIB on computer adaptive sequential tests. Poster presented at the International Meeting of the Psychometric Society (IMPS), Hong Kong. (July 18 – 22)
  1. Tze, V. M. C., Klassen, R., Daniels, L., & Li, J. C.-H. (2011). Exploring the validity of learning-related boredom scale in Canada and China. Paper presented at the International Meeting of the Psychometric Society (IMPS), Hong Kong. (July 18 – 22)
  1. Cui, Y., & Li, J. C.-H. (2010). Building diagnostic computerized adaptive testing: issues and challenges. Symposium presented at the Annual Meeting of the Canadian Society for the Study of Education (CSSE), Montreal, Canada. (May 29 – 31)

 

Invited Talks

  • Li, J. C.-H. (2024). Incorporating modern robust statistical methods into graduate teaching. Teaching and Learning Symposium, University of Manitoba (May 16)
  • Li, J. C.-H. (2024). The role of Monte Carlo Simulation in advancing quantitative methods in psychology with violation of data assumptions. Social Science Speaker Series. Centre for Social Sciences Research and Policy, University of Manitoba. (March 15).
  • Li, J. C.-H. (2024). What could you do when data violate assumptions (e.g., normality) for common quantitative data analyses? The role of robust statistics in psychological research. Research Seminar, Oxford Brookes University, the U.K. (April 10)
  • Li, J. C.-H. (2021). Using the probability-of-superiority approach to fit latent variable models. Symposium presented at the Statistical Society of Canada Convention (June 8).
  • Li, J. C.-H. (2017). Latent variable modeling in behavioral and social sciences. Department of Economics, University of Manitoba. (February 10)
  • Li, J. C.-H. (2017). Simulated Statistician: Engaging social sciences students in learning statistics. Teaching and Learning Symposium, University of Manitoba (October 16)
  • Li, J C.-H. (2014). Bootstrap confidence intervals for correlations adjusted for range restriction – a popular data analytic technique in educational and employment selection. Department of Statistics, University of Manitoba (October 17)
  • Li, J C.-H. (2014). How to deal with “restricted range” when estimating validity in psychological research?Learning Analytics Summer Institute (LASI) – Hong Kong meeting. Hong Kong, China. (July 4).

 

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Lab – Quantitative and Applied Statistics (LIQAS)