About MeHi, 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 once or twice a day, and now have two weekly theme posts, Statistics Sunday and Statistical Sins (which comes out on Wednesdays, except when it comes out on Thursday or Friday - oops). If you'd like to check out more statistics posts, you can also read my April 2017 Blogging A to Z posts - 26 posts on statistical topics. 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 (and am currently participating in my 3rd National Novel Writing Month), and I sing with and serve on the board of the Apollo Chorus of Chicago. I love to read, rewatch my favorite show Buffy the Vampire Slayer, and belly dance.
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
- 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
- Thematic analysis
- Cognitive interviews
- Grounded theory
- Participatory research methods.