Home
About
Our Work
Research and Publications

Education Foundations, LLC

Education Foundations, LLCEducation Foundations, LLCEducation Foundations, LLC
Home
About
Our Work
Research and Publications
More
  • Home
  • About
  • Our Work
  • Research and Publications

Education Foundations, LLC

Education Foundations, LLCEducation Foundations, LLCEducation Foundations, LLC
  • Home
  • About
  • Our Work
  • Research and Publications

Our TEam's Research

Heather Peltier, Ph.D.

  

  • ·Wright, H.P., Foran, A.R., Holmes, H., & Yiping, L. (2016). Classroom Assessments: What Type of Learning is  Being Measured? Annual meeting of the American Educational Research Association. Washington, D.C.
  • Cao, C., Wright, H.P., & Craig, B.D. (2016). Survival Analysis of Student Mobility and Attrition in a Florida District’s Charter Schools. Annual meeting of the American Educational Research Association. Washington, D.C.
  • Clark, T., Sanders, S., Somers-Arthur, J., Meeks, A., Wright, H.P. (2014). Florida’s Item Bank and Test Platform Update. Florida Department of Education Community of Practice, Orlando, FL.
  • Wright, H.P. (2014). Florida Assessment Overview. Annual meeting of the Florida Association of Social Studies Supervisors. Orlando, FL.
  • Wright, H.P. (2013). Assessment Development Process: Introduction to Test Item Specifications. Central Florida Assessment Collaborative Summer Institute. Orlando, FL.
  • Wright, H.P., Gamble, M.W., Foran, A.R., Ehrhart, J.E., Carr, J. (2013). Developing Common End of Course Assessments among Collaborating School Districts: An Ongoing Challenge to Meet the State Requirement for 2014-2015. Annual meeting of the Florida Educational Research Association. Gainesville, FL.
  • Wright, H.P. (2012). Meeting the Challenges of the Student Success Act through Inter-District Collaboration. Florida Department of Education Community of Practice, General Session. Orlando, FL.
  • Wright, H.P. & Watkins, B. (2008). Literacy Digs: Engaging Students in Conversations about Literacy. Annual meeting of the Florida Council of Teachers of English. Orlando, FL.

Brandon Craig, Ph.D.

  • Barnum, S., Craig, B., Wang, X., Sandella, J.M., Tsai, T.-H., Boulet, J.R., Wang Y. (2022). A concordance study of COMLEX-USA and USMLE scores. Journal of Graduate Medical Education, 14(1), 53-59.
  • Craig, B., Wang, X., Sandella, J.M., Tsai, T.-H., Kuo, D., Finch, C. (2021). Examining concurrent validity between COMLEX-USA Level 2-Cognitive Evaluation and COMLEX-USA Level 2-Performance Evaluation. Journal of Osteopathic Medicine, 121(8), 687-691.
  • Wang, X., Maeda, H., Craig, B., Tsai, T.-H., Sandella, J.M., Fleury, M. (2021). Meaningful use of COMSAE Phase 1 in preparation for COMLEX-USA Level 1. Journal of Osteopathic Medicine, 121(7), 611-616.
  • Cao, C., Wright, H.P., &Craig, B. (2016). Survival Analysis of Student Mobility and Attrition in a Florida District’s Charter Schools. (Presented at the 2016 American Educational Research Association annual meeting).
  • Craig, B. (2014). Applied DIF Detection: Using Pure Short Anchor and Scale Purification for Identifying DIF. (Presented at the 2014 Florida Educational Research Association Annual Meeting)
  • Craig B., Dwyer T., & Gaughan, L. (2012). Creating Equal Comparison Groups: A Comparison of Three Matching Methods. (Presented at the 2012 Florida Educational Research Association Annual Meeting).
  • Nash, M.C., Craig, B., Schwartz, S. (2011). The Independent Effects of Short Sleep and Moderate Alcohol Intake on Impaired Cognition. (Presented at the 2012 Sleep Annual Meeting).

Chunhua Cao, Ph.D.

 

  • Cao, C, Wang, Y, & Kim, E. S. (in press). Multilevel Factor Mixture Modeling: A Tutorial of Multilevel Construct. Structural Equation Modeling: A Multidisciplinary Journal.
  • Cao, C., *Lugu, B., & *Li, J. (2024). The sensitivity of Bayesian fit indices to structural misspecification in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal.
  • Cao, C., & Liang, X. (2024). The Impact of Ignoring Cross-loadings on the Sensitivity of Fit Measures in Measurement Invariance Testing. Structural Equation Modeling: A Multidisciplinary Journal.
  • Cao, C., Man, K., & *Ge, Y. (2023). Revisiting the impact of measurement quality on targeted structural fit indexes in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal.
  • Cao, C., & Liang, X. (2022). The impact of model size on the sensitivity of fit measures in measurement invariance testing. Structural Equation Modeling: A Multidisciplinary Journal.
  • Cao, C., & Liang, X. (2022). Sensitivity of fit measures to the lack of measurement invariance in exploratory structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal.

Yan Wang, Ph.D.

 

  •  Wang, Y., Kim, E., Joo, S-H., Chun, S., Alamri, A., Lee, P., & Stark, S. (2022). Reconsidering multilevel latent class models: Can level-2 latent classes affect item response patterns? Journal of Experimental Education, 90(1), 158-172. https://doi.org/10.1080/00220973.2020.1737913 [IF = 2.623; 5-year IF = 3.114] 
  • Wang, Y., Kim, E., & Yi, Z. (2022). Robustness of latent profile analysis to measurement noninvariance between profiles. Educational and Psychological Measurement, 82(1), 5- 28. https://doi.org/10.1177/0013164421997896 [IF = 2.821; 5-year IF = 3.279] Bugos, J., & Wang, Y. (2022). Piano training enhances executive functions and psychosocial outcomes in aging: Results of a randomized controlled trial. Journal of Gerontology: Psychological Sciences. Advance online publication. https://doi.org/10.1093/geronb/gbac021 [IF = 4.077; 5-year IF = 5.060] 
  • Joo, S-H., Wang, Y., Ferron, J. M., Moeyaert, M., Beretvas, S. N., & van den Noortgate, W. (2022). Comparison of within- and between-series effect estimates in the meta-analysis of multiple baseline studies. Journal of Educational and Behavioral Statistics, 47(2), 131- 166. https://doi.org/10.3102/10769986211035507 [IF = 3.288; 5-year IF = 4.387]
  • Kim, E., Nguyen, D., *Liu, S., & Wang, Y. (2022). Mixed effects of item parceling on performance of factor mixture modeling. Structural Equation Modeling: A Multidisciplinary Journal, 29(2), 207-217. https://doi.org/10.1080/10705511.2021.1965483 [IF = 6.125; 5-year IF = 8.372] 
  • Shen, J., & Wang, Y. (2022). Application of second-order growth mixture modeling (SO-GMM) to longitudinal TBI outcome research: 15-year trajectories of life satisfaction in adolescents and young adults (AYA) as an example. Archives of Physical Medicine and Rehabilitation. Advance online publication. https://doi.org/10.1016/j.apmr.2021.12.018 [IF = 3.966; 5-year IF = 3.507] 
  • Shen, J., Wang, Y., *Kurpad, N., & *Schena, D. (2022). A systematic review on the impact of hot and cool executive functions on pediatric injury risks: A meta-analytic structural equation modeling approach. Prevention Science, 23, 366-377. https://doi.org/10.1007/s11121-021-01271-2 [IF = 3.103; 5-year IF = 3.361] 

Copyright © 2025 Education Foundations - All Rights Reserved.

  • Privacy Policy
  • Diversity Policy

Powered by

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

Accept