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document-analysis

Use when analyzing documents, artifacts, policies, or media as qualitative data sources.

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ccashwell/qualitative-research-pro
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11 avril 2026 à 02:10
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document-analysis
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Use when analyzing documents, artifacts, policies, or media as qualitative data sources.
# Document and Artifact Analysis Documents include policies, emails, meeting minutes, curricula, clinical records (where permitted), social media threads, photographs, videos, and organizational charts. In qualitative research, documents are not “background”; they are potential **primary data** when your questions concern texts, practices encoded in artifacts, or institutional meaning-making. ## Types of documents - **Public records:** laws, reports, websites—often accessible but require contextual interpretation. - **Personal documents:** diaries, letters, portfolios—high intimacy; consent and harm considerations intensify. - **Organizational documents:** SOPs, training decks, KPI dashboards—reveal formal and informal priorities when read critically. - **Media and digital traces:** news, forums, apps—raise provenance, bot, and archival volatility issues. Classify each document by **authorship, audience, purpose, and genre** before heavy interpretation. ## Authentication and contextualization Ask: Who produced this, when, under what constraints, and for whom? Triangulate with interviews or observations when documents conflict with practice (“official story” vs “work-as-done”). Note redactions, version control gaps, and translation effects if documents cross languages. ## Content analysis basics (qualitative orientation) Qualitative content analysis codes meaning units into categories while preserving context. Steps typically include: define corpus boundaries; sample or include all relevant texts; define recording units (paragraph, post, case note segment); develop codes inductively, deductively, or hybrid; maintain a codebook with examples; iterate definitions as patterns clarify. ## Discourse analysis basics Discourse-oriented reading examines how language constructs subjects, objects, and power relations. Useful prompts: What is presupposed? Who is included/excluded? What metaphors recur? What silences matter? Align discourse analysis commitments (e.g., critical, Foucauldian, discursive psychology) with your paradigm statement. ## Coding documents in a grounded theory framework Treat a document segment as an **incident**: compare segment to segment and segment to emerging concepts. Avoid letting document headings dictate your categories if the data pushes elsewhere. Keep a memo trail for interpretive leaps (e.g., why a policy clause signals “risk shifting” as a category). ## “All is data” and critical reading GT’s “all is data” does not mean naive acceptance. Documents can misrepresent, lag reality, or perform legitimacy. Critical reading asks what the text *does* socially while still mining it for **participant/informant meanings** embedded in wording and format. ## Practical workflow 1. Inventory documents with metadata (source, date, access path). 2. Select chunks relevant to the evolving theory; avoid infinite corpus sprawl. 3. Apply consistent naming for files and excerpts used in publications. 4. Link excerpts to audit trail entries (why this passage matters analytically). ## Checklist - [ ] Corpus boundaries and inclusion criteria documented. - [ ] Provenance, authorship, and audience analyzed. - [ ] Coding approach matches methodology (GT openness vs structured content analysis). - [ ] Potential bias/misrepresentation flagged and triangulated where possible. - [ ] Confidentiality and copyright constraints respected. ## References (starting points) - Bowen, G. A. (2009). Document analysis as a qualitative research method. *Qualitative Research Journal*. - Prior, L. *Using documents in social research*. - Glaser, B. G. *Doing Grounded Theory* — documents as comparable incidents. ## Quick reference **Before coding a page:** note genre, intended audience, and production constraints (who could edit this, and why it exists). **While coding:** treat each excerpt as an incident; compare to interviews/observations when interpretations hinge on “official vs practiced” gaps. **In write-ups:** distinguish textual claims from your interpretation; flag uncertain authorship or missing pages rather than smoothing gaps silently.
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