The TNTLAB (Testing New Technologies in Learning, Assessment, and Behavior), headed by Dr. Richard N. Landers at Old Dominion University, conducts research and works with organizations to understand the role and potential of the Internet and related technologies to improve work. This research is conducted through the lens of industrial/organizational (I/O) psychology, which is the science of workplace behavior. We incorporate rigorous experimental and psychometric methods to address questions of interest, which involve a range of technologies, including big data, gamification, virtual reality, video games, handheld devices (e.g., smartphones), online social networking, and web-based training, among others.
Through TNTLAB, Dr. Landers trains Ph.D. students and undergraduates in this research area and I/O psychology more broadly. If you are interested in becoming a part of TNTLAB in either of these roles, please see this page.
If you are interested in learning more about TNTLAB research, please see our Research Areas to learn more.
Some of our projects have produced Internet resources which you can access via the links below:
- Web Scraping of Psychological Data: Getting Started with Scrapy. This is a free tutorial intended to train psychologists (and other social scientists) how to use Python to create datasets from any webpage.
- The Work-related Social Media Questionnaire (WSMQ). This is a freely available validated survey measures to assess the degree to which workers have engaged in a variety of positive and negative social media behaviors.
- Online Automated Statistics Tutor and Dataset Generator. This tool, created to accompany the statistics textbook I wrote, can be used to automatically generate datasets and answer keys testing students in a variety of statistical procedures common in one-semester statistics courses, including correlations, t-tests, and ANOVA.
- Pearson’s r Correlation Simulator. This visualization allows you to quickly and easily create simulated scatterplots and regression lines to illustrate any correlation.