Education Commons^™

Automated Text Data Mining Analysis Of Five Decades Of Educational Leadership Research Literature: Probabilistic Topic Modeling Of Eaq Articles From 1965 To 2014, Yinying Wang, Alex J. Bowers, David J. Fikis

Educational Policy Studies Faculty Publications

Purpose: The purpose of this study is to describe the underlying topics and the topic evolution in the 50-year history of educational leadership research literature.

Methods: We used automated text data mining with probabilistic latent topic models to examine the full text of the entire publication history of all 1,539 articles published in Educational Administration Quarterly from 1965 to 2014. Given the computationally intensive data analysis required by probabilistic topic models, relying on high performance computing, we used a 10-fold cross validation to estimate the model in which we categorized each article in each year into one of 19 …