E-mail: jlv@dedu.ecnu.edu.cn
Brief Introduction:
Dr. Jing Lv received her PhD degree in 2018 from Purdue University (majored in Research Methodology and Measurement with two minors: Applied Statistics and Psychological Statistics).
Main research domain: meta-analytic structural equation modeling, multilevel structural equation modeling, time series analysis, factor analysis, IRT modeling, psychometrics.
Subarea: online learning, STEM, educational psychology
Research Interests and Experience
Main research interests:
(1) using MCMC to investigate the performance of meta-analytic SEM with missingness;
(2) exploring potential methods for handling missing variables in SEM;
(3) investigating the threshold of sample size or other conditions for processing different estimators with high validity in empirical research;
(4) applying quantitative methods in research of online learning, STEM and educational psychology.
Main research attended from 2013 to 2018:
PI: Jennifer Richardson (Educational Technology), & Yukiko Maeda
PI: Jennifer Richardson (Educational Technology)
PI: Mancia Gentry (Gifted Education)
PI: Matthew R. Della Sala (Educational Economics)
PI: Monica Cox (Educational Engineering)
PI: Xun Yan (Linguistic Testing)
Representative Publications
Richardson, J. C., Maeda, Y., Lv ,J., & Caskurlu, S. (co-first authors). (2017). Social Presence in Relation to Students’ Satisfaction and Learning in the Online Environment: A Meta-Analysis. Computers in Human Behavior, 71, 402-417. doi: 10.1016/j.chb.2017.02.001.
Yan, X., Maeda, Y., Lv, J., & Ginther, A. (2015). Elicited Imitation as a Measure of Second Language Proficiency: A Narrative Review and Meta-Analysis. Language Testing, 1-32. doi: 10.1177/0265532215594643
Sambamurthy, N., Berdanier, C. G., Cox, M. F., Lv, J., Maeda, Y., & Johari, S. M. (2015). Making Meaning of Data: Exploring Representations of Classroom Activities from a First-Year Engineering Course. Conference Proceedings: 2015 ASEE Annual Conference and Exposition, Seattle, Washington. doi: 10.18260/p.24461
Lu, J., Yang, Q. L., Lv, J., & Li, A. P. (2013). Research on Algorithm of Partitioning Table Set in Data Exchange Process. Journal of Applied Sciences, 13, 4442-4448. doi: 10.3923/jas.2013.4442.4448
Lv, J. (2012). Research into Correlation between Information-Presentation Forms and Vocabulary-Memory Effect of University Students. Theory and Practice of Education, 32 (27), 42-44.
Conference Papers
Lv, J., & Maeda, Y. (2019, April). Evaluating the Efficacy of Meta-Analytic Structural Equation Modeling Approaches with Missing Correlations. Paper presented at 2019 American Educational Research Association (AERA) conference, Toronto, Canada.
Lv, J., Caskurlu, S., Maeda, Y., & Richardson, J. C. (2018, April). Evaluation of COI Instrument: Synthesis of Psychometric Properties. Paper presented at 2018 American Educational Research Association (AERA) conference, New York City, USA.
Caskurlu, S., Lv, J., Maeda, Y., & Richardson, J. C. (2017, November). The Relationship between Community of Inquiry in Online Learning and Student’s Learning and Satisfaction: A MetaAnalysis. Paper presented at 2017 Association for Education Communications and Technology (AECT) conference, Jacksonville, FL, USA.
Lv, J., & Maeda, Y. (2017, April). Investigation of Conditions Required to Use Meta-Analysis Handling a Missing Variable in Structural Equation Modeling. Paper presented at 2017 American Educational Research Association (AERA) conference, San Antonio, TX, USA.
Caskurlu, S., Lv, J., Maeda, Y., & Richardson, J. C. (2017, April). A Meta-Analysis of Studies Examining the Community of Inquiry. Paper presented at 2017 American Educational Research Association (AERA) conference, San Antonio, TX, USA.
Richardson, J. C., Maeda, Y., Lv, J., & Caskurlu, S. (2016, April). A Meta-Analysis of Social Presence in Online Learning in Relation to Student’s Satisfaction and Learning. Paper presented at 2016 American Educational Research Association (AERA) conference, Washington D.C., USA.
Sambamurthy, N., Berdanier, C. G., Cox, M. F., Lv, J., Maeda, Y., & Johari, S. M. (2015, June). Making Meaning of Data: Exploring Representations of Classroom Activities from a First-year Engineering Course. Paper presented at 2015 ASEE Annual Conference and Exposition, Seattle, Washington.
Caskurlu, S., Richardson, J. C., Maeda, Y., & Lv, J. (2015, November). The Relationship between Social Presence in Online Learning and Students’ Satisfaction and Learning: A Meta-Analysis. Paper presented at 2015 Association for Education Communications and Technology (AECT) conference, Indianapolis, IN, USA.
Lv. J., & Gipson, A. J. (2015, April). Monte Carlo Simulation Studies Investigating Power and Type I Error Rates for Two-Level Multilevel Linear Models: A Meta-Analysis. Poster presented at the Annual American Educational Research Association conference (AERA), Chicago, IL, USA.
Yan, X., Maeda, Y., & Lv, J. (2015, April). Elicited imitation as a measure of second language proficiency: A systematic review. Paper presented at the annual American Educational Research Association conference (AERA), Chicago, IL, USA.
Manuscripts
Lv, J., & Maeda, Y. (Revision). Evaluating the Efficacy of Meta-Analytic Structural Equation Modeling with Missing Correlations. Structural Equation Modeling: A Multidisciplinary Journal.
Lv, J., & Wang, K. (Revision). Sample Size Requirements for Handling Missing Correlations in Structural Equation Modeling with Meta-Analytic Imputation. Methodology.
Lv, J., & Zeng, X. Effect of Four Immeasurable Meditations on Depressive Symptom: A Meta-Analysis
Lv, J., & Wang, K. Development of the Mathematical Emotion, Attitude and Value Scale: A Preliminary Study on High School Students in China.
Lv, J., Wang, K., & Lu, J. Sufficient Sample Sizes for Two-Level Multilevel Linear Modeling: A Meta-Analysis of Simulation Studies.
Caskurlu, S., Maeda, Y., Richardson, J., & Lv, J. (Revision). The Relationship between Teaching Presence and Students’ Satisfaction and Learning. Computers in Human Behavior.
Maeda, Y., Lv, J., Caskurlu, S., & Richardson, J. C. Evaluation of COI Instrument: Synthesis of Psychometric Properties.
