PAD: a graphical and numerical enhancement of structural coding to facilitate thematic analysis of a literature corpus

We suggest an enhancement to structural coding through the use of (a) causally bound codes, (b) basic constructs of graph theory and (c) statistics. As is the norm with structural coding, the codes are collected into categories. The categories are represented by nodes (graph theory). The causality is illustrated through links (graph theory) between the nodes and the entire set of linked nodes is collected into a single directed acyclic graph. The number of occurrences of the nodes and the links provide the input required to analyze relative frequency of occurrence, as well as opening a scope for further statistical analysis. While our raw data was a corpus of literature from a specific discipline, this enhancement is accessible to any qualitative analysis that recognizes causality in its structural codes.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/17/2019

Graph Topological Aspects of Granger Causal Network Learning

We study Granger causality in the context of wide-sense stationary time ...
research
07/16/2019

Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics

In this essay I discuss potential outcome and graphical approaches to ca...
research
03/08/2022

Structural Granger CAUSALITY for IoT Digital Twin

In this foundational expository article on the application of Causality ...
research
08/20/2019

Causality from the Point of View of Classical Statistics

An attempt is made to provide a clear and concise basis for a statistica...
research
03/15/2021

Linear Network Error Correction Coding: A Revisit

We consider linear network error correction (LNEC) coding when errors ma...
research
01/09/2023

Codes and modular curves

These lecture notes have been written for a course at the Algebraic Codi...
research
04/11/2017

struc2vec: Learning Node Representations from Structural Identity

Structural identity is a concept of symmetry in which network nodes are ...

Please sign up or login with your details

Forgot password? Click here to reset