Thematic Analysis

Published in Personal Website, 2025

Network Analysis

I conducted a cluster analysis on my manuscripts to assist in writing my research statement by identifying themes and tracking the evolution of my work. I identified 21 themes and classified their presence in each manuscript. The table below lists these themes along with their node strength, which indicates the total number of AND values for each theme across all papers. The adjacency matrix represents the cross-product of the boolean matrix for thematic endorsement across all manuscripts. The data here are available here, and the R code is accessible here.

ThemeNode Strength
neuroimaging87
developmental91
data.quality61
psychopathology68
cognition21
methods64
item.response.theory40
model.convergence62
bayesian36
substance.use11
time.series19
panel.data19
environment66
adversity49
ordinal.data67
structural.neuroimages65
functional.neuroimages37
measurement59
analytic.technique65
nonparametric59
multilevel.model70

Here Above is the louvain clustering of these data.

And an interactive graph of these data can be found here