About Sara

About Me

Hi, everyone. I'm Sara Locatelli, the person behind Deeply Trivial. This blog began as a place for me to overanalyze trivial topics, mostly pop culture.

It grew into a place to write about the things that interest me, whatever they may be, but mostly statistics, social psychology, movies, and music (and more recently, politics). It's a place for me to share my thoughts on a variety of topics, offer guidance on statistical topics for graduate students and researchers, and hopefully generate some discussion with others. 

I started the blog in 2011, right after I finished my PhD. Today, I'm blogging a few times a week, and now have two theme posts, Statistics Sunday (which I post every week) and Statistical Sins (which I haven't done in a while and need to get back to). If you'd like to check out more statistics posts, you can also read my April 2018 Blogging A to Z of R, and my April 2017 Blogging A to Z of statistics posts. I'm always thrilled to talk about and conduct statistics, so feel free to reach out to me with any questions. You can also check out my April 2016 Blogging A to Z, where I made my way through the alphabet of Social Psychology.

To tell you more about myself, I'm a psychometrician, a statistician who uses statistical models to develop, validate, and standardize assessments. I have a BS in Psychology, and an MA and PhD in Social Psychology, as well as post-doctoral training in health services research and psychometrics. 

In my free time, I'm an amateur writer (back in November, I participated in my 3rd National Novel Writing Month and I also participate in some short story competitions), and I sing with and serve as Marketing Director on the board of the Apollo Chorus of Chicago. I love to read, rewatch my favorite show Buffy the Vampire Slayer, and belly dance.

You can contact me at sara@deeplytrivial.com.

About My Work

As with so many psychology majors, I took statistics because it was required for my major. What I didn't expect was to fall in love with it, or want to do statistics as a career. Over the years, I've had the opportunity to learn many statistical approaches and tools:
  • Rasch measurement model
  • Classical test theory and item analysis
  • Structural equation modeling
  • Factor analysis
  • Classification tree analysis
  • Mediation and moderation analysis
  • Meta-analysis
  • Power analysis (and using PASS)
  • Regression analyses with fixed, random, and mixed effects
  • Quantile regression
  • Item response theory
  • Qualitative comparative analysis
  • Analysis with R, SPSS, Stata, Winsteps, Facets, and NVivo
  • Database management with SQL (PostgreSQL)
In my work as a researcher in the Department of Veterans Affairs, as well as a program evaluator at Loyola University and Chicago Public Schools, I've also built my skills in qualitative and mixed research methods, including:
  • Content analysis
  • Focus groups
  • Guided tours
  • Interviews
  • Thematic analysis
  • Cognitive interviews
  • Grounded theory
  • Participatory research methods. 
I also served as a member of the Institutional Review Board (the ethics board for research with human participants) during part of my time with the VA, and have a fair amount of experience with writing grants.

You can find information on my publications on Google Scholar and Research Gate


  1. nice to see that u did very well for your self :) im happy to see someone did alot.

  2. I am in love with your blog.
    Greetings from Spain!

  3. I really love your blog and your career, I congratulate you, I'd like to get in touch with you, since I'm a fan of data the statistics applied to psychology; and I'd like to undertake projects in the area. Email is: ribarra1971@gmail.com