Faculty and Staff
College of Education and Health Professions
(RHRC)-Rehabilitation, Human Resources, and Communication Disorders
Statistical and applied problems in structural equation modeling (SEM)
Measurement invariance across multiple populations
Retention in higher education
- ESRM6403 - Educational Statistics and Data Processing
- ESRM6413 - Experimental Design in Education
- ESRM6423 - Multiple Regression Techniques for Education
- ESRM6513 - Advanced Experimental Design
- ESRM6523 - Advanced Multiple Regression
- ESRM6553 - Advanced Multivariate Statistics
- ESRM699V - Structural Equation Modeling
- Ph.D., Arizona State University, Educational Psychology-Measurement, Statistics, and Methodological Studies, 2008
- M.A., Arizona State University, Educational Psychology-Measurement, Statistics, and Methodological Studies, 2004
- B.S., SooChow University (Taiwan), Psychology, 1993
Dunn, K. E., & Lo, W. J. (2015). Understanding the influence of learners’ forethought on their use of science study strategies in post-secondary science learning. International Journal of Science Education, 37(16), 2597-2618.
Kippenbrock, T. A., Lo, W. J., Buron, W., & Odell, E. (2015).The southern states: NPs make an impact in rural and health professional shortage areas, Journal of the American Association of Nurse Practitioners, 27(12), 707-713.
Green, S. B., Thompson, M. S., Levy, R., & Lo, W. J. (2015). Type I and Type II error rates and overall accuracy of the revised parallel analysis method for determining the number of factors. Educational and Psychological Measurement, 75(3), 428-457.
Khojasteh, J., & Lo, W. J. (2015). Investigating the sensitivity of Goodness-of-Fit indices to detect measurement invariance in a bifactor Model. Structural Equation Modeling, 22(4), 531-541.
Beck, D., Maranto, R., & Lo, W. J. (2014). Determinants of Student and Parent Satisfaction at a Cyber Charter School. Journal of Educational Research, 107(3), 209-216.
Dunn, K. E., Airola, D. T., Lo, W. J., & Garrison, M. (2013). Becoming data driven: The influence of teachers' efficacy on concerns related to data driven decision-making. Journal of Experimental Education, 81(2), 222-241.
Dunn, K. E., Airola, D. T., & Lo, W. J., & Garrison, M. (2013).What teachers think about what they can do with data: Development and validation of the Data Driven Decision-Making Efficacy inventory. Contemporary Educational Psychology, 38(1), 87-96.
Yang, Y., Chen, Y. H., Lo, W. J., & Turner, J. E. (2012). Cross-cultural evaluation of item wording effects on an attitudinal scale. Journal of Psychoeducational Assessment, 30(5), 509-519.
Lo, W. J., Thompson, M. S., & Chen, Y.H. (2012). A Construct Validity Examination on a Chinese Version of the Parental Bonding Instrument Using Confirmatory Factor Analysis. International Journal of Educational and Psychological Assessment, 11(2), 20-43.
Dunn, K. E., Lo, W.J., Mulvenon, S., & Sutcliffe, R. (2012). Revisiting the MSLQ: A factor analysis of what is and what could be. Educational and Psychological Measurement, 72(2),689-691.
Green, S. B., Levy, R., Thompson, M. S., Lu, M., & Lo, W. J. (2012). A proposed solution to the problem with using completely random data to assess the number of factors with parallel analysis. Educational and Psychological Measurement, 72(3),357-374.
Crawford, A. V., Green, S. B., Levy, R., Lo, W. J., Scott, L, Svetina, D, & Thompson, M. S. (authorship alphabetical; 2010). Evaluation of parallel analysis methods for determining the number of factors. Educational and Psychological Measurement, 70(6), 885-901.