Methods & Skills

Quantitative Methods

I specialize in multilevel and longitudinal modeling, the backbone of my dissertation's eight-week design and several collaborative projects, along with multiple regression, ANOVA, and meta-analysis. I've served as a graduate teaching assistant for courses in Multilevel Modeling, Meta-Analysis, and Advanced Statistics I, and I'm experienced with SPSS, Qualtrics, and participant panels (Prolific, MTurk). I've also contributed to several large-scale registered-report and replication projects, a methodology that brings unusual rigor to hypothesis testing by separating study design from results.

EEG & Neuroscience Methods

In the Self-Regulation Lab, I co-developed protocol, training, and implementation of a multi-site replication project incorporating EEG. I'm also a co-author on the subsequent multi-site registered reports examining error- and inhibitory-related brain activity in relation to political ideology, work that combines ERP methodology with the same replication rigor running through my broader research.

I have designed and implemented ESM protocols using Qualtrics and SurveySignal across two large intensive longitudinal studies: an independently designed study in which approximately 225 participants completed weekly surveys over eight weeks, and a collaborative community sample in which approximately 200 participants completed five daily surveys over 14 days. Both datasets support multiple ongoing and in-preparation manuscripts on reappraisal, authenticity, and goal pursuit, and connect directly to my multilevel modeling work given the nested, repeated-measures structure of ESM data.

Experience Sampling Methodology