| A meta-analysis of the worked examples effect on mathematics performance CA Barbieri, D Miller-Cotto, SN Clerjuste, K Chawla Educational Psychology Review 35 (1), 11, 2023 | 23 | 2023 |
| Let’s be rational: worked examples supplemented textbooks improve conceptual and fraction knowledge CA Barbieri, JL Booth, K Chawla Educational Psychology 43 (1), 1-21, 2023 | 5 | 2023 |
| Deep Learning Imputation for Asymmetric and Incomplete Likert-Type Items ZK Collier, M Kong, O Soyoye, K Chawla, AM Aviles, Y Payne Journal of Educational and Behavioral Statistics 49 (2), 241-267, 2024 | 1 | 2024 |
| Optimizing Imputation for Educational Data: Exploring Training Partition and Missing Data Ratios ZK Collier, K Chawla, O Soyoye The Journal of Experimental Education, 1-21, 2023 | 1 | 2023 |
| Machine Learning for Propensity Score Estimation: A Systematic Review and Reporting Guidelines W Leite, H Zhang, Z Collier, K Chawla, L Kong, YS Lee, J Quan, O Soyoye, ... OSF Preprints, 2024 | | 2024 |
| Machine Learning-Based Techniques to Handle Missing Data in Meta-Regression K Chawla University of Delaware, 2024 | | 2024 |
| Multiple Imputation with Artificial Intelligence: Missing Data in Propensity Score Analysis K Chawla OSF, 2023 | | 2023 |
| Modern Techniques for Treatment of Missing Responses in Large-Scale Survey Assessments K Chawla OSF, 2023 | | 2023 |
| How to handle clustering in meta-analysis: Theoretical and Practical Considerations K Chawla, C Barbieri, D Miller-Cotto OSF, 2023 | | 2023 |
| RM5. Multiple Imputation with Artificial Intelligence: Missing Data in Propensity Score Analysis Z Collier, K Chawla, O Soyoye SREE 2022 Conference, 2022 | | 2022 |
| A Meta-analysis of the Worked Examples Effect on Mathematics Performance K Chawla, S Clerjuste, D Miller-Cotto, C Barbieri, G McKinney, L O'Neill SREE 2021 Conference, 2021 | | 2021 |
Christina Areizaga BarbieriUniversity of Delaware在 udel.edu 的电子邮件经过验证
