Research output per year
Research output per year
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Dive into the research topics where Yi Zheng is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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BAYESIAN DECISION THEORY FOR TREE-BASED ADAPTIVE SCREENING TESTS WITH AN APPLICATION TO YOUTH DELINQUENCY
Krantsevich, C., Hahn, P. R., Zheng, Y. & Katz, C., Jun 2023, In: Annals of Applied Statistics. 17, 2, p. 1038-1063 26 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
A new measure of students’ perceived conflict between evolution and religion (PCoRE) is a stronger predictor of evolution acceptance than understanding or religiosity
Elizabeth Barnes, M., Supriya, K., Zheng, Y., Roberts, J. A. & Brownell, S. E., Sep 1 2021, In: CBE life sciences education. 20, 3, ar42.Research output: Contribution to journal › Article › peer-review
Open Access15 Scopus citations -
An exploration across institution types of undergraduate life sciences student decisions to stay in or leave an academic-year research experience
Gin, L. E., Clark, C. E., Elliott, D. B., Roderick, T. B., Scott, R. A., Arellano, D., Ramirez, D., Vargas, C., Velarde, K., Aeschliman, A., Avalle, S. T., Berkheimer, J., Campos, R., Gerbasi, M., Hughes, S., Roberts, J. A., White, Q. M., Wittekind, E., Zheng, Y., Cooper, K. M., & 1 others, Sep 1 2021, In: CBE life sciences education. 20, 3, ar47.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
Aspects of large-enrollment online college science courses that exacerbate and alleviate student anxiety
Mohammed, T. F., Nadile, E. M., Busch, C. A., Brister, D., Brownell, S. E., Claiborne, C. T., Edwards, B. A., Wolf, J. G., Lunt, C., Tran, M., Vargas, C., Walker, K. M., Warkina, T. D., Witt, M. L., Zheng, Y. & Cooper, K. M., Dec 1 2021, In: CBE life sciences education. 20, 4, ar69.Research output: Contribution to journal › Article › peer-review
Open Access18 Scopus citations -
Call on me! Undergraduates’ perceptions of voluntarily asking and answering questions in front of large-enrollment science classes
Nadile, E. M., Alfonso, E., Barreiros, B. M., Bevan-Thomas, W. D., Brownell, S. E., Chin, M. R., Ferreira, I., Ford, S. A., Gin, L. E., Gomez-Rosado, J. O., Gooding, G., Heiden, A., Hutt, A. E., King, M. L., Perez, S. G., Rivera Camacho, Y. I., Salcedo, F., Sellas, C. F., Sinda, K. A., Stahlhut, K. N., & 5 others, Jan 2021, In: PloS one. 16, 1 January, e0243731.Research output: Contribution to journal › Article › peer-review
Open Access17 Scopus citations
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A large-scale systematic exploration of the impact of culturally competent evolution education
National Science Foundation (NSF)
10/1/18 → 9/30/24
Project: Research project
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Secondary Violence Prevetion Activity (SVPA) Proponte Mas
US Agency for International Development (USAID)
5/15/16 → 8/31/19
Project: Research project
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Psychometric Advisory for Maricopa Community Colleges Math Diagnostic Assessment Project
OTHER: Domestic Non-ABOR University
3/1/16 → 6/30/16
Project: Research project
Datasets
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Using Machine Learning Methods to Develop a Short Tree-Based Adaptive Classification Test: Case Study With a High-Dimensional Item Pool and Imbalanced Data
Zheng, Y. (Creator), Cheon, H. (Contributor) & Katz, C. (Creator), figshare SAGE Publications, 2020
DOI: 10.25384/sage.c.5029571.v1, https://sage.figshare.com/collections/Using_Machine_Learning_Methods_to_Develop_a_Short_Tree-Based_Adaptive_Classification_Test_Case_Study_With_a_High-Dimensional_Item_Pool_and_Imbalanced_Data/5029571/1
Dataset
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Different evolution acceptance instruments lead to different research findings
Barnes, M. E. (Contributor), Dunlop, H. M. (Creator), Holt, E. A. (Creator), Zheng, Y. (Creator) & Brownell, S. (Creator), Figshare, 2019
DOI: 10.6084/m9.figshare.c.4384547, https://springernature.figshare.com/collections/Different_evolution_acceptance_instruments_lead_to_different_research_findings/4384547
Dataset
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Different evolution acceptance instruments lead to different research findings
Barnes, M. E. (Contributor), Dunlop, H. M. (Creator), Holt, E. A. (Creator), Zheng, Y. (Creator) & Brownell, S. (Creator), figshare Academic Research System, 2019
DOI: 10.6084/m9.figshare.c.4384547.v1, https://springernature.figshare.com/collections/Different_evolution_acceptance_instruments_lead_to_different_research_findings/4384547/1
Dataset
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Using Machine Learning Methods to Develop a Short Tree-Based Adaptive Classification Test: Case Study With a High-Dimensional Item Pool and Imbalanced Data
Zheng, Y. (Creator), Cheon, H. (Contributor) & Katz, C. (Creator), SAGE Journals, 2020
DOI: 10.25384/sage.c.5029571, https://sage.figshare.com/collections/Using_Machine_Learning_Methods_to_Develop_a_Short_Tree-Based_Adaptive_Classification_Test_Case_Study_With_a_High-Dimensional_Item_Pool_and_Imbalanced_Data/5029571
Dataset
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Honduras_tree_APM_online_supplement_V4_for_publisher – Supplemental material for Using Machine Learning Methods to Develop a Short Tree-Based Adaptive Classification Test: Case Study With a High-Dimensional Item Pool and Imbalanced Data
Zheng, Y. (Contributor), Cheon, H. (Contributor) & Katz, C. (Contributor), figshare SAGE Publications, Jan 1 2020
DOI: 10.25384/sage.12514493.v1, https://doi.org/10.25384%2Fsage.12514493.v1
Dataset