technology-adoption
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Ordinal regression and mediation analysis examining the gap between AI adoption and advocacy among K-12 educators. Part 3 of a three-paper series using JASP and Python. N=189 teachers in Jordan.
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Dec 12, 2025 - Python
Replication code and data for Michler, J.D., Baylis, K., Arends-Kuenning, M., and Mazvimavi, K. (2019). "Conservation Agriculture and Climate Resilience." Journal of Environmental Economics and Management 93: 148-69.
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Sep 30, 2024 - Stata
Random Forest vs nested logistic regression comparing predictors of AI adoption among K-12 educators (N=189). Beliefs about student learning dominate all predictors (importance=0.415). 97.3% accuracy, AUC=1.000. JASP for stats/ML, Python for visualization. DOI: 10.5281/zenodo.17519163
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Dec 11, 2025 - Python
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