Introduction

I am an experimental, research psychologist by training and experience. My primary focus throughout my career has largely been related to human factors psychology. As interesting as human factors is, it is not data intensive. We run experiments and collect data, but for the most part, the statistical analysis methods that we use tend to be fairly simple: largely frequency counts, descriptive statistics and occasionally correlation and various forms of analysis of variance.

I have always enjoyed exploring data, especially multivariate and complex analysis. And recently I have had the opportunity to engage in those more complex methods of analysis. This has allowed me to reengage with the passions that were first engaged in graduate school and provided me with new opportunities to work through data, no matter the source of that data.

Because I have signed numerous nondisclosure agreements, I cannot discuss or show the results and conclusions work I have done for others. However, for me data analysis is fun and engaging. I perform data analysis as a hobby, as means to answer questions for myself. I discuss in this blog and on the Professional Predictive Models, LLC website the results of data that I analyzed to answer questions that I have about current events, social policies, etc. Most articles will say nothing about research finding from psychology or human factors.

You will also find in this blog simplified explanations of complex methods of data analysis and predictive models. If you want to learn about quantitative data analysis in a way that I think will be fun and interesting, this is the blog to follow. Also, if you want answers based on quantitative data to questions that you may have had about a variety topics, this is the blog to follow.