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This paper proposes the Parallel-Then-Integrated (PTI) procedure, a methodological framework for explicitly integrating two computational representations of qualitative text within mixed methods research. By combining ontology-guided coding with data-driven non-negative matrix factorization (NMF), it establishes a structured approach to document convergence and divergence between different NLP-derived themes. The study offers significant value to researchers developing hybrid AI pipelines that merge symbolic knowledge with statistical pattern recognition in natural language processing.
From Qualitative Text to Integrated Evidence: The Parallel-Then-Integrated (PTI) Procedure
arXiv:2610.19164v1 Announce Type: new Abstract: Mixed methods research offers established strategies for integrating qualitative and quantitative evidence, but less guidance for integrating two computational representations of the same qualitative corpus. This methodological study introduces Parallel-Then-Integrated (PTI), a four-step procedure for explicit and traceable integration. We present PTI using 1,203 interview paragraphs from 29 mothers in Nepal. The two representations were ontology-guided Patient Voice (PV) coding with PVminer and data-driven themes generated through non-negative matrix factorization (NMF). A theme-complete crosswalk documented convergence, divergence, and preprocessing-sensitive differences. Depression status, based on Patient Health Questionnaire-9 (PHQ-9) scores, served as a secondary external anchor for exploratory association checks. PTI provides a structured approach for integrating computational representations of qualitative text within mixed methods research.
Abstract:Mixed methods research offers established strategies for integrating qualitative and quantitative evidence, but less guidance for integrating two computational representations of the same qualitative corpus. This methodological study introduces Parallel-Then-Integrated (PTI), a four-step procedure for explicit and traceable integration. We present PTI using 1,203 interview paragraphs from 29 mothers in Nepal. The two representations were ontology-guided Patient Voice (PV) coding with PVminer and data-driven themes generated through non-negative matrix factorization (NMF). A theme-complete crosswalk documented convergence, divergence, and preprocessing-sensitive differences. Depression status, based on Patient Health Questionnaire-9 (PHQ-9) scores, served as a secondary external anchor for exploratory association checks. PTI provides a structured approach for integrating computational representations of qualitative text within mixed methods research.
23 pages, 1 figure, 7 tables. Code available at this https URL
Computation and Language (cs.CL)
arXiv:2610.19164 [cs.CL]
(or arXiv:2610.19164v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2610.19164 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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