Moral Growth Mindset (MGM) Measure

The Moral Growth Mindset (MGM) Measure was developed to measure one’s moral growth mindset with a four-item self-report measure in English. The MGM Measure is included in the published peer-reviewed article for free.
Reference (available in Publication page)
Han. H., Dawson, K. J., Choi, Y. R., & Glenn, A. L. (2020). Development and validation of the English version of the Moral Growth Mindset Measure. F1000Research, 9, 256. doi:  10.12688/f1000research.23160.2 

BayesFactorFMRI: GUI for Bayesian second-level and meta-analysis

BayesFactorFMRI is a tool developed with R and Python to allow neuroimaging researchers to conduct Bayesian second-level analysis of fMRI data and Bayesian meta-analysis of fMRI images with multiprocessing. This tool was developed to expedite computationally intensive Bayesian fMRI analysis through multiprocessing. Its GUI allows researchers who are not experts in computer programming to feasibly perform Bayesian fMRI analysis. Link (Zenodo) (GitHub)
Reference (available in Publications page)
Han, H. (in press). BayesFactorFMRI: Implementing Bayesian second-level fMRI analysis with multiple comparison correction and Bayesian meta-analysis of fMRI images with multiprocessing. Journal of Open Research Software. 
Han, H. (2020). Implementation of Bayesian multiple comparison correction in the second-level analysis of fMRI data: With pilot analyses of simulation and real fMRI datasets based on voxelwise inference. Cognitive Neuroscience, 11(3), 157-169.
Han, H., & Park, J. (2019). Bayesian meta-analysis of fMRI image data. Cognitive Neuroscience, 10(2), 66-76. ​

​Behavioral Defining Issue Test (bDIT)

The Behavioral Defining Issues Test (bDIT) was developed by modifying the original DIT to assess one’s moral reasoning within the contexts of behavioral experiments. Contact ​the Center for the Study of Ethical Development for further details. Link (osf project)
Reference (available in Publication page)
Han, H., Dawson, K. J., Thoma, S. J., & Glenn, A. L. (in press). Developmental level of moral judgment influences behavioral patterns during moral decision-making. Journal of Experimental Education.
Choi, Y-J., Han, H., Dawson, K. J., Thoma, S. J., & Glenn, A. L. (in press). Evaluating reliability, validity, and differential item functioning of the Behavioral Defining Issues Test (bDIT). European Journal of Developmental Psychology.

Multipurpose simulation program based on the evolutionary causal matrices and Markov chain

This tool was developed in Python to implement the simulation program based on the evolutionary causal matrices and Markov chain. The main purpose of this tool is to predict outcomes of educational and psychological interventions with experimental data. Tutorials are also available. Link (GitHub)
Reference (available in Publications page) 
Han, H., Lee, K., & Soylu, F. (2018). Simulating outcomes of interventions using a multipurpose simulation program based on the evolutionary causal matrices and Markov chain. Knowledge and Information Systems, 57(3), 685-707.
Han, H., Lee, K., & Soylu, F. (2016). Predicting long-term outcomes of educational interventions using evolutionary causal matrices and Markov chain. Trends in Neuroscience and Education, 5(4), 157-165.