Journal Article PUBDB-2024-00763

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

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2022
Elsevier Amsterdam [u.a.]

MethodsX 9, 101633 () [10.1016/j.mex.2022.101633]
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Abstract: 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. Through our work, we claim: • To extend the semantic potential of structural coding, where the structural codes are causally related, and • To extend the methodological scope of systematic review.

Classification:

Contributing Institute(s):
  1. Informationstechnologie (IT)
Research Program(s):
  1. 623 - Data Management and Analysis (POF4-623) (POF4-623)
Experiment(s):
  1. DESY: TIER-II

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Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Emerging Sources Citation Index ; Fees ; IF < 5 ; JCR ; PubMed Central ; SCOPUS ; Web of Science Core Collection
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 Record created 2024-02-14, last modified 2025-07-15


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