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@ARTICLE{Depasquale:603118,
      author       = {Depasquale, Etienne-Victor and Salam, Humaira Abdul and
                      Davoli, Franco},
      title        = {{PAD}: {A} graphical and numerical enhancement of
                      structural coding to facilitate thematic analysis of a
                      literature corpus},
      journal      = {MethodsX},
      volume       = {9},
      issn         = {2215-0161},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {PUBDB-2024-00763},
      pages        = {101633},
      year         = {2022},
      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.},
      cin          = {IT},
      ddc          = {570},
      cid          = {I:(DE-H253)IT-20120731},
      pnm          = {623 - Data Management and Analysis (POF4-623)},
      pid          = {G:(DE-HGF)POF4-623},
      experiment   = {EXP:(DE-H253)TIER-II-20150101},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {35251945},
      UT           = {WOS:000821352600011},
      doi          = {10.1016/j.mex.2022.101633},
      url          = {https://bib-pubdb1.desy.de/record/603118},
}