指南名称:心理健康研究中的定性方法:伦理调查、研究实践和同行评审的标准
英文标题:
发布机构:Equator Network
发布日期:2025-10-01
简要介绍:
Qualitative research has become increasingly recognized as a critical methodological approach in mental health and psychiatry, particularly as the field seeks to move beyond the limitations of quantitative, diagnostic-centric paradigms. While traditional research has focused on measurable symptoms and standardized classifications, mental health experiences are inherently complex, fluid, and culturally mediated. They involve deeply subjective processes, such as identity construction, relational distress, stigma navigation, and resilience, all of which resist being reduced to fixed variables or universal metrics.
A growing body of literature supports the value of qualitative methods in capturing these nuanced experiences.1,2 However, existing guidance often lacks integration across philosophical, ethical, and methodological dimensions, leading to fragmented or inconsistent applications in practice. Many qualitative studies in mental health still suffer from superficial design, lack of reflexivity, or inappropriate adoption of quantitative standards, such as generalizability and data saturation. Furthermore, peer reviewers often lack standardized criteria for assessing qualitative rigor, especially within the context of trauma-informed or culturally sensitive mental health research.
This article addresses these critical gaps by offering a comprehensive and philosophically grounded roadmap for conducting and evaluating qualitative research in mental health. Drawing on global best practices and frameworks, such as the Consolidated Criteria for Reporting Qualitative Research (COREQ), it integrates essential principles including reflexivity, positionality, cultural competence, trauma-informed ethics, and methodological coherence. 10 Unlike existing literature, which often treats these components in isolation, this article synthesizes them into a unified, practice-oriented framework. In doing so, it not only supports researchers in designing ethically sound and contextually rich studies but also equips peer reviewers with clear criteria to assess theoretical alignment and research quality (Table 1).
Qualitative Research Checklist for Mental Health Studies: A Step-by-step Guide for Researchers and Peer Reviewers.
Stage | Researchers: Key Considerations | Peer Reviewers: What to Assess | Page No./ü |
1. Philosophical grounding | • Define ontological and epistemological stance (e.g., interpretivist, constructivist) • Use a “Big Q” qualitative framework • Avoid positivist drift |
• Is the stance clearly stated and aligned with aims? • Does it avoid implicit positivism? |
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2. Research questions | • Frame exploratory, open-ended questions • Avoid hypotheses and binary framing • Focus on subjective experiences |
• Are questions appropriate for qualitative research? • Do they capture the complexity of mental health? |
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3. Methodological design | • Justify method in light of epistemology • Choose aligned design (e.g., GT, phenomenology, ethnography) • Follow standards like COREQ |
• Is design congruent with aims and philosophy? • Are strengths and limitations acknowledged? |
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4. Reflexivity | • Include positionality and reflexive journaling • Reflect on identity, power, emotion • Embed reflexivity across stages |
• Is researcher influence transparently discussed? • Is reflexivity ongoing, not one-off? |
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5. Sampling strategy | • Use purposive /theoretical sampling • Justify sample size by depth, not generalizability • Avoid rigid saturation logic |
• Is sampling rationale clearly explained? • Is depth emphasized over quantity? |
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6. Ethical considerations | • Apply trauma-informed, culturally responsive ethics • Secure informed consent • Prepare for distress in interviews |
• Are ethics protocols contextually sensitive? • Are vulnerable populations addressed appropriately? |
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7. Data collection methods | • Select context-appropriate methods (e.g., photovoice, interviews) • Address ecological validity • Account for power in interactions |
• Are chosen methods justified for population? • Are power dynamics acknowledged? |
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8. Transcription and translation | • Use verbatim transcription • Translate using forward-backward methods • Preserve emotional and cultural tone |
• Are transcription and translation high quality? • Is meaning preserved beyond literal accuracy? |
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9. Data storage and security | • Encrypt and anonymize transcripts • Define retention timelines • Maintain audit trail |
• Are storage practices ethically compliant? • Is confidentiality ensured? |
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10. Analytical approach | • Use robust methods (e.g., reflexive TA, coding cycles) • Employ abductive/iterative logic • Avoid forced saturation |
• Is analysis grounded in data and paradigm? • Are themes developed, not imposed? |
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11. Use of tools | • Use software critically (e.g., NVivo, ATLAS.ti) • Provide coding trees and theme maps • Avoid mechanistic analysis |
• Are tools used to support—not replace—interpretation? • Are visuals used meaningfully? |
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12. Translation of meaning | • Go beyond literal translation • Attend to idioms, tone, emotion • Acknowledge limits in cross-language meaning |
• Is affective and cultural meaning preserved? • Are translation boundaries discussed? |
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13. Rigor and trustworthiness | • Use strategies like triangulation, audit trails • Provide thick description for transferability • Practice reflexivity and member-checking |
• Are Guba and Lincoln’s criteria applied well? • Are validity claims nuanced? |
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14. Presentation of findings | • Use rich, contextualized narratives • Support claims with participant quotes • Link findings to theory without overgeneralizing |
• Are voices preserved and theory integrated? • Is oversimplification avoided? |
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15. Dissemination and impact | • Plan ethical, inclusive dissemination (e.g., policy briefs, debriefs) • Consider Altmetric/PlumX impact tools • Target community and policy audiences |
• Are dissemination plans inclusive and purposeful? • Is impact beyond academia considered? |
来源:Indian J Psychol Med
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