Methods Content Analysis: A Role in Applied Health Research

Authors

  • Peter Cahill McMaster University

DOI:

https://doi.org/10.15173/mujph.v1i1.3073

Keywords:

content analysis, machine learning, topic modeling, mixed methods, text analysis

Abstract

Text data is highly information-rich and accessing this information would greatly benefit applied health researchers and decision makers. Text data can be viewed as both qualitative and quantitative data by the researcher. When both the quality and the quantity of the data can be informative, a rigorous mixed methods approach is necessary to make best use of available analysis techniques to yield high quality inferences. In this analytic essay, a sketch of a suggested mixed methods content analysis method is provided, combining the rich interpretive power of close readings of text data by researchers with the robust quantitative modelling via machine learning. This mixed methods content analysis method appears promising for applied health research.

Downloads

Published

2022-12-01

How to Cite

Cahill, P. (2022). Methods Content Analysis: A Role in Applied Health Research. McMaster University Journal of Public Health, 1(1). https://doi.org/10.15173/mujph.v1i1.3073