I am very interested in philosophical, methodological, and practical issues pertaining to measurement. How do we know what we are measuring? When do our measurements succeed and fail? What can we do to improve the development and implementation of measurement instruments?
Along these lines, I have read extensively about classical and contemporary validity theory, reliability analysis, and psychometrics. I have also begun to disseminate these ideas and principles through the writing of review articles (Girard & Cohn, 2016) and applied measurement evaluation studies (Girard et al., 2015), the hosting of measurement-focused workshops (Girard & Cohn, 2017, 2018), and the development of open-source software tools for reliability and validity analysis (Girard, 2016-2018).
I have been working on updating the ssm R package from Zimmermann & Wright (2017), which calculates the structural summary method parameters with bootstrapped confidence intervals. I hope to have the first version done by the end of June 2018; you can follow my progress on github. I am also planning to develop an R package called ggplex that facilitates the visualization of circumplex data by building upon the powerful and flexible ggplot2 framework. Finally, I plan to combine the the ssm and ggplex packages (plus other useful functions) into a web-based application using the shiny framework. This application will dramatically lower the bar to entry on these statistical methods by providing a graphical user interface that walks users through their implementation.
In addition to applying statistical and software engineering techniques to address challenges in my own research, I also provide educational and consultation services to help others do the same. To date, I have given workshops on automated facial expression analysis and statistical methods for measurement validation as well as lectures on factor analysis, meta-analysis, missing data analysis, resampling methods, effect sizes and confidence intervals, and validity and reliability. I have also consulted on studies to implement multilevel modeling, multiple imputation, data collection, data visualization, and acoustic signal processing.