View a full list of my projects on the Scientific Communications page and/or ask me about my work as Data Analyst!

R event/time series analysis recurrence analysis qualitative analysis transcription coding ggplot2

Dynamic structures of social interactions

Tutorial on a visual and quantitative analysis of dyadic conversations using cross-recurrence quantification analysis (CRQA). This work extracts additional measures of interactions beyond frequencies of input (e.g., words, utterances), such as the presence and duration of reciprocal exchanges, and compares these various measures. A collaboration with Tehran Davis at the University of Cinncinati.

[Analysis code + Tutorial] [Slides for Pitt Cognitive Talk Series] [Journal article (under review)]

This project showcased a computationally-inexpensive way to uncover additional insights in existing transcription data for the purposes of (1) enhancing scientific knowledge on language and learning, (2) optimizing data reuse, and (3) sharing this method with researchers.

Profiles of home learning environments

A cluster analysis of families’ early math practices, including math-related conversations and activities.

This is my dissertation project, in which I am classifying families based on various cognitive, affective, and socioeconomic factors and using these derived clusters to predict children’s academic skills.

This project extends my previous work, a cluster analysis of dyadic interactions using various language input measures. [Slides for Pitt Cognitive Talk Series] [Poster for Cognitive Development Society Meeting]

R k-means cluster analysis hierarchical cluster analysis multinomial logistic regression descriptive analysis transcription coding ggplot2

R ggplot2 Python NumPy pandas SciPy Seaborn MATLAB mixed effects logistic regression

Exploration, uncertainty, and numerical judgements

An eye-tracking study of exploratory behavior, i.e., eye switching frequency, during numerical comparisons and math skills in:

High cognitive demand questions

A multi-study project with 2 aims:

  • Explore links between children’s exposure to caregivers’ high (vs. low-) cognitive demand (CD) questions in the home learning environment and children’s early academic skills. [Paper in Journal of Experimental Child Psychology]
  • Investigate caregiver and child factors that predict high-CD questioning. [Journal article (under review)]

R Stata linear regression mixed effects logistic regression power analysis transcription coding