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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.
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From Qualitative Text to Integrated Evidence: The Parallel-Then-Integrated (PTI) Procedure

arXiv2 min de cititArticolul și perspectiva sunt în engleză.

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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