| Dropout early warning systems for high school students using machine learning JY Chung, S Lee Children and Youth Services Review 96, 346-353, 2019 | 205 | 2019 |
| The machine learning-based dropout early warning system for improving the performance of dropout prediction S Lee, JY Chung Applied Sciences 9 (15), 3093, 2019 | 133 | 2019 |
| Are MOOC learning analytics results trustworthy? With fake learners, they might not be! G Alexandron, LY Yoo, JA Ruipérez-Valiente, S Lee, DE Pritchard International journal of artificial intelligence in education 29, 484-506, 2019 | 50 | 2019 |
| Positive contrast technique for the detection and quantification of superparamagnetic iron oxide nanoparticles in MRI Q Zhao, J Langley, S Lee, W Liu NMR in Biomedicine 24 (5), 464-472, 2011 | 47 | 2011 |
| Are bully-victims homogeneous? Latent class analysis on school bullying JY Chung, S Lee Children and youth services review 112, 104922, 2020 | 41 | 2020 |
| Dynamic contrast‐enhanced magnetic resonance imaging of canine brain tumors Q Zhao, S Lee, M Kent, S Schatzberg, S Platt Veterinary radiology & ultrasound 51 (2), 122-129, 2010 | 41 | 2010 |
| Confidence intervals for distinguishing ordinal and disordinal interactions in multiple regression. S Lee, MK Lei, GH Brody Psychological Methods 20 (2), 245, 2015 | 33 | 2015 |
| Detecting Cheaters in MOOCs Using Item Response Theory and Learning Analytics. G Alexandron, S Lee, Z Chen, DE Pritchard UMAP (Extended Proceedings), 2016 | 26 | 2016 |
| Detecting differential item functioning using the logistic regression procedure in small samples S Lee Applied Psychological Measurement 41 (1), 30-43, 2017 | 21 | 2017 |
| Implementing a simulation study using multiple software packages for structural equation modeling S Lee SAGE Open 5 (3), 2158244015591823, 2015 | 16 | 2015 |
| Re-Designing the Structure of Online Courses to Empower Educational Data Mining. Z Chen, S Lee, G Garrido International Educational Data Mining Society, 2018 | 15 | 2018 |
| Using the tidyverse package in R for simulation studies in SEM S Lee, S Sriutaisuk, H Kim Structural Equation Modeling: A Multidisciplinary Journal 27 (3), 468-482, 2020 | 13 | 2020 |
| Constructing confidence intervals for effect size measures of an indirect effect S Lee, MK Lei, GH Brody Multivariate behavioral research 50 (6), 600-613, 2015 | 13 | 2015 |
| Effects of service quality in motor boat racing: Relationships among perceived value, customer satisfaction, and word-of-mouth MK Kim, D Lee, L Schoenstedt, S Lee, SK Kim International Journal of Sports Science 4 (2), 39-46, 2014 | 13 | 2014 |
| Neighborhood× Serotonin Transporter Linked Polymorphic Region (5-HTTLPR) interactions for substance use from ages 10 to 24 years using a harmonized data set of African American … M Windle, SM Kogan, S Lee, YF Chen, KM Lei, GH Brody, SRH Beach, ... Development and psychopathology 28 (2), 415-431, 2016 | 12 | 2016 |
| Logistic regression procedure using penalized maximum likelihood estimation for differential item functioning S Lee Journal of Educational Measurement 57 (3), 443-457, 2020 | 8 | 2020 |
| A comparison of the hierarchical generalized linear model, multiple-indicators multiple-causes, and the item response theory-likelihood ratio test for detecting differential … ML Ong, L Lu, S Lee, A Cohen Quantitative Psychology Research: The 78th Annual Meeting of the …, 2015 | 8 | 2015 |
| Dopamine receptor gene D4 polymorphisms and early sexual onset: Gender and environmental moderation in a sample of African-American youth SM Kogan, MK Lei, SRH Beach, GH Brody, M Windle, S Lee, J MacKillop, ... Journal of adolescent health 55 (2), 235-240, 2014 | 8 | 2014 |
| Factor analysis reveals student thinking using the mechanics reasoning inventory S Lee, Z Chen, D Pritchard, A Kimn, A Paul Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale, 197-200, 2017 | 5 | 2017 |
| Generating univariate and multivariate nonnormal data S Lee The Stata Journal 15 (1), 95-109, 2015 | 5 | 2015 |
