Paige A.
Researcher/Writer
I currently work as a user experience research for a bit tech firm. I am an expert writer, analyst, and researcher. I have my Ph.D. in Research Methods and Statistics from the University of Denver, a B.A. in English from Texas State University, and an M.S. in Library Information Science from the University of North Texas. I have advanced experience using qualitative and quantitative methods of analysis. My past research has focused on bibliometric analysis, data visualization, survey design, content analysis, information literacy instruction, and social media analysis. In my dissertation I introduced a novel psychologically-based method for exploring large-scale protest movements using latent measurement modeling (i.e., Confirmatory Factor Analysis) along with social media content analysis. I have written a variety of academic articles, magazine articles, and blog posts and presented at national and international conferences on the aforementioned topics. I also have extensive experience with social media data analysis, management, and content creation. For the past 3 years I managed the University of Denver's Office of Graduate Studies' social media accounts which included Twitter, Facebook, LinkedIn, and Instagram. In 2017, I worked at a start-up in San Francisco as a social media intern. My duties involved creating a social media strategy and crafting original content for LinkedIn, Facebook, and Twitter. I also designed implemented a linear model to predict future social media engagement on each social media platform. As a student at DU, I taught NVivo software courses to graduate students on a regular basis. Prior to enrollment in my PhD program I worked as an academic reference librarian. My duties as a librarian included research assistance, information literacy instruction, and management of the library's social media accounts. I have experience using a variety of analytics tools including Google Analytics, Twitter Analytics, Facebook Insights, Nvivo, and Tableau.
Earnings and projects
An estimate from an earlier read
Earnings, last 30 days
No data since Nov 5, 2026.