My Research
Assessment and development of longitudinal data analysis methods
Data in psychology that consist of repeated measurements collected over time are known as longitudinal data. These data come in many different forms. Some of the most common are panel data (multiple variables measured for each individual with relatively few timepoints) and time series data (typically one variable measured per individual, but many timepoints). Different methods exist to assess multivariate change for the different types of longitudinal data. Currently, my work focuses on methods of analysis for panel data, specifically with two variables.
Feel free to investigate both active projects and previous work of mine via the links below. Last updated May 2025.
Active Projects
A First Difference Approach to Studying Sequential Panel Data
Examining an econometric model under a Structural Equation Modeling framework.
A Psychometric Analysis of the VVIQ
Exploring the dimensionality and item response characteristics of a visualization scale.
Former Projects
Student Retention Prediction
Utilizing regression and machine learning to predict first-year student retention.
Investigations into Multicolor Peg Solitaire
Analyzing the solvability of variations of classic peg solitaire.
ChatGPT goes to College
Exploring student perspectives on artificial intelligence in the classrooom.
Dynamic Exploration-Exploitation Learning Model
Exploring workplace learning patterns through a dynamic model.
Numeracy and Statistical Literacy
How can we train individuals to be more statistically literate?
Eyewitness Testimony
Are people accurate reporters of their own experiences?