I'm conducting a mixed methods systematic review. Guide me: 1) Search for both quantitative and qualitative studies
Conducting a mixed methods systematic review requires a comprehensive search strategy that captures both quantitative and qualitative studies. Here’s a step-by-step guide to assist you in your search process:
Step 1: Define Your Research Question
Clearly articulate your research question using the PICO (Population, Intervention, Comparison, Outcome) framework for quantitative studies and the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type) framework for qualitative studies.
Step 2: Develop Inclusion and Exclusion Criteria
Specify criteria to determine which studies to include or exclude based on:
- Type of study (qualitative, quantitative, mixed methods)
- Population characteristics
- Interventions or phenomena of interest
- Outcomes of interest
- Date range (if applicable)
- Language of publication
Step 3: Identify Relevant Databases
Utilize multiple databases to ensure a comprehensive search. Some key databases include:
- Quantitative Studies:
- PubMed
- Cochrane Library
- CINAHL
- PsycINFO
- Scopus
- Web of Science
- Qualitative Studies:
- Sociological Abstracts
- Qualitative Health Research
- ERIC (for education-related studies)
- JSTOR (broad coverage, including qualitative research)
Step 4: Construct Your Search Strategy
Create search strings that combine keywords and controlled vocabulary terms (such as MeSH terms in PubMed) for both quantitative and qualitative studies. Use Boolean operators (AND, OR, NOT) to refine your search.
Example Search Strategy
For a hypothetical topic on the experiences of patients undergoing a specific treatment:
- Quantitative Searches:
- (“Patients” OR “Participants”) AND (“Treatment” OR “Intervention”) AND (“Outcome” OR “Effectiveness”)
- Qualitative Searches:
- (“Patients’ experiences” OR “Qualitative study” OR “Thematic analysis” OR “Focus groups”) AND (“Treatment” OR “Intervention”)
Step 5: Conduct the Search
Run your search in the identified databases, using the constructed search strategies. Export results and filter duplicates.
Step 6: Screen Studies for Inclusion
- Title and Abstract Screening: Review the titles and abstracts to identify studies that meet your inclusion criteria.
- Full-Text Screening: Obtain and review the full text of the potentially relevant studies to determine final inclusion.
Step 7: Data Extraction
Develop a data extraction form to capture relevant information from each included study, such as:
- Bibliographic details
- Study design and methods
- Sample size and characteristics
- Intervention details
- Outcomes measured
- Key findings
Step 8: Quality Assessment
Assess the quality and rigor of the included studies using appropriate tools:
- For quantitative studies, use tools like the Cochrane Risk of Bias Tool or the Jadad Scale.
- For qualitative studies, consider using the Critical Appraisal Skills Programme (CASP) checklist or other qualitative assessment frameworks.
Step 9: Synthesize Findings
Perform a synthesis of the findings from both quantitative and qualitative studies. This can involve:
- Narrative synthesis
- Thematic analysis for qualitative data
- Meta-analysis for quantitative studies (if applicable)
Step 10: Report Your Findings
Write up your systematic review including the methodology, results, discussion, and conclusions. Ensure adherence to reporting guidelines such as PRISMA for systematic reviews.
Tips:
- Keep a detailed record of your search process to enhance transparency and reproducibility.
- Consult with a librarian or information specialist who can assist in database searches and refine your strategy.
- Stay organized using reference management software like EndNote, Zotero, or Mendeley.
By following these steps, you should be able to conduct a comprehensive mixed methods systematic review that effectively captures the relevant literature in your field of study. Good luck!
Conducting a Mixed Methods Systematic Review: Searching for Quantitative and Qualitative Studies
A mixed methods systematic review synthesizes evidence from both quantitative (e.g., experimental, observational studies like RCTs or cohort studies) and qualitative (e.g., interviews, ethnographies) research to provide a comprehensive understanding of a topic. The search process follows similar principles to a standard systematic review but requires strategies to capture diverse study designs. I'll guide you step by step, focusing on your query about searching for both types of studies. This draws from established frameworks like PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and guidance from the Cochrane Collaboration and Joanna Briggs Institute (JBI) for mixed methods reviews.
1. Define Your Research Question and Inclusion Criteria
- Start with a clear, inclusive question using a framework like PICO (Population, Intervention, Comparison, Outcome) for quantitative aspects, combined with SPICE (Setting, Perspective, Intervention, Comparison, Evaluation) for qualitative ones. For mixed methods, adapt to PICoS or similar to encompass both.
- Example: If reviewing interventions for mental health in workplaces, specify: "What are the quantitative effects and qualitative experiences of mindfulness programs (I) on employee stress (O) in corporate settings (S)?"
- Develop eligibility criteria:
- Quantitative: RCTs, quasi-experimental, surveys with numerical data.
- Qualitative: Thematic analyses, grounded theory, narrative studies.
- Mixed: Studies combining both (e.g., convergent designs).
- Exclude: Opinion pieces, editorials; include gray literature if relevant.
- Tip: Use tools like Covidence or Rayyan for screening later.
2. Develop a Comprehensive Search Strategy
- Key Principle: Design a sensitive search (broad to avoid missing studies) that doesn't overly restrict by method type upfront. Instead, filter post-search. Search for both paradigms simultaneously to ensure overlap and efficiency.
- Identify Databases: Cover biomedical, social sciences, and multidisciplinary sources to capture both types.
- Quantitative-focused: MEDLINE (PubMed), Embase, CINAHL (for nursing/health), Cochrane Library, Web of Science.
- Qualitative-focused: PsycINFO, ERIC (education), Sociological Abstracts, Anthropology Plus.
- Multidisciplinary: Scopus, Google Scholar (for gray literature), ProQuest Dissertations.
- Specialized for mixed methods: JBI Database of Systematic Reviews, Campbell Collaboration.
- Search Terms and Boolean Logic:
- Break into concepts: Population + Intervention/Exposure + Outcome + Study Design (optional).
- Use MeSH/Emtree terms for controlled vocabulary (e.g., in PubMed: "Mindfulness"[Mesh] AND "Workplace"[Mesh]).
- Combine quantitative and qualitative filters sparingly—run broad searches first.
- Broad example: ("mindfulness" OR "meditation") AND ("workplace" OR "employee") AND ("stress" OR "burnout").
- Quantitative-specific terms (add if needed): "randomized controlled trial" OR "cohort study" OR "RCT" OR "quantitative" OR "experimental".
- Qualitative-specific terms: "qualitative research" OR "interview" OR "focus group" OR "thematic analysis" OR "phenomenology".
- For mixed: "mixed methods" OR "convergent design" OR "embedded".
- Use operators: AND (narrows), OR (broadens), NOT (excludes, e.g., NOT "animal").
- Handle synonyms: Use truncation (e.g., qualitativ*) and proximity searching (e.g., "workplace NEAR/5 stress").
- Limits and Filters: Date range (e.g., 2000–present), language (e.g., English), peer-reviewed. Avoid method filters initially to prevent bias—screen abstracts manually.
- Tip: Create a search log (e.g., in Excel) tracking terms, databases, hits, and dates for reproducibility. Aim for 1,000–5,000 initial results depending on scope.
3. Execute and Document the Search
- Run Searches: Start with 2–3 core databases, then expand. Export results to EndNote, Zotero, or Mendeley for deduplication.
- Example PubMed Search (adapt to your topic):
("mindfulness"[MeSH Terms] OR mindfulness OR meditation) AND ("workplace"[MeSH Terms] OR employee OR occupational) AND (stress[MeSH Terms] OR burnout OR anxiety) AND (2000:2023[pdat])
- For qualitative subset: Add
("Qualitative Research"[MeSH Terms] OR qualitative OR interview OR "focus groups")
. - Gray Literature and Hand-Searching:
- Include theses (ProQuest), conference abstracts (e.g., via Google Scholar alerts), policy reports (e.g., WHO, government sites), and preprints (medRxiv, SSRN).
- Hand-search key journals (e.g., Qualitative Health Research for qual; BMJ for quant) and reference lists of included studies (snowballing).
- Contact experts or authors for unpublished work.
- International Scope: Search non-English databases if relevant (e.g., LILACS for Latin America) and translate as needed.
- Time Estimate: 1–2 weeks for initial searches; involve a librarian for optimization.
4. Screen and Select Studies
- Deduplicate: Use software to remove ~20–30% duplicates.
- Screening Process (Two-Reviewer Rule for Rigor):
- Title/Abstract: Exclude obvious non-matches; aim for 10–20% full-text advancement.
- Full-Text: Assess against criteria—tag as quantitative, qualitative, or mixed.
- Resolve Disagreements: Discuss or use a third reviewer.
- PRISMA Flow Diagram: Document at each stage (e.g., records identified, screened, included).
- Challenges in Mixed Methods: Qualitative studies may be harder to find due to indexing biases—supplement with targeted qual databases.
5. Quality Appraisal and Synthesis
- While not directly your query, note for completeness:
- Quantitative: Use tools like ROBINS-I or AMSTAR.
- Qualitative: CASP or JBI checklists.
- Mixed: MMAT (Mixed Methods Appraisal Tool) for integrated assessment.
- Synthesis: Narrative for qual, meta-analysis for quant if possible; convergent synthesis for mixed (e.g., joint display of findings).
Common Pitfalls and Tips
- Bias Risk: Over-relying on quantitative databases misses qual depth—balance your strategy.
- Scope Creep: Pilot your search on a small scale to refine terms.
- Resources: Consult PRISMA-ScR extension for scoping/mixed reviews, or the JBI Manual for Evidence Synthesis. Tools like ASReview (AI-assisted screening) can speed things up.
- Ethics: Register your protocol on PROSPERO if health-related.
If you provide more details (e.g., your topic or specific databases), I can refine this guidance further. What's next in your process?
Conducting a mixed methods systematic review involves integrating both quantitative and qualitative studies to provide a comprehensive understanding of a research topic. Here’s a step-by-step guide to help you search for both types of studies:
1. Define Your Research Question
- Clarify the Objective: Ensure your research question is clear and specific. It should be broad enough to encompass both quantitative and qualitative data.
- PICO/SPIDER Framework: Use the PICO (Population, Intervention, Comparison, Outcome) framework for quantitative studies and the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type) framework for qualitative studies to structure your question.
2. Develop a Search Strategy
- Keywords and Terms: Identify key terms related to your research question. Use both broad and specific terms to capture a wide range of studies.
- Boolean Operators: Use AND, OR, and NOT to combine search terms effectively.
- Truncation and Wildcards: Use truncation (*) and wildcards (?) to capture variations of keywords.
3. Select Databases
- Quantitative Databases:
- PubMed/MEDLINE
- Embase
- CINAHL
- PsycINFO
- Web of Science
- Cochrane Library
- Qualitative Databases:
- PsycINFO
- CINAHL
- Sociological Abstracts
- Anthropology Plus
- Social Sciences Citation Index
- Google Scholar
4. Conduct the Search
- Initial Search: Start with a broad search using your key terms. Use filters to narrow down the results by study type, publication date, and language.
- Refine Search: Adjust your search terms based on initial results. Use MeSH terms (Medical Subject Headings) for PubMed and other controlled vocabularies for specific databases.
- Hand Searching: Supplement your database search with hand searching of key journals and reference lists of relevant articles.
5. Screen and Select Studies
- Title and Abstract Screening: Review titles and abstracts to exclude irrelevant studies. Use inclusion and exclusion criteria to guide this process.
- Full-Text Review: Obtain full texts of potentially relevant studies and review them in detail. Ensure they meet your inclusion criteria.
- Quality Assessment: Use appropriate tools to assess the quality of both quantitative (e.g., Cochrane Risk of Bias Tool) and qualitative (e.g., CASP Checklist) studies.
6. Data Extraction
- Quantitative Data: Extract data on study design, sample size, interventions, outcomes, and statistical results.
- Qualitative Data: Extract data on study design, sample characteristics, themes, and quotes.
7. Synthesize the Data
- Quantitative Synthesis: Use meta-analysis if appropriate, or narrative synthesis if studies are too heterogeneous.
- Qualitative Synthesis: Use thematic analysis, meta-ethnography, or other qualitative synthesis methods to integrate findings.
- Integration: Combine quantitative and qualitative findings to provide a comprehensive understanding. Use a convergent parallel design, where both types of data are analyzed separately and then integrated.
8. Report the Findings
- Structure: Follow the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for reporting systematic reviews.
- Integration: Clearly describe how quantitative and qualitative findings complement each other. Use tables, figures, and narrative descriptions to present your results.
9. Disseminate the Results
- Publication: Publish your findings in a peer-reviewed journal. Consider journals that accept mixed methods research.
- Presentation: Present your findings at conferences and workshops to reach a broader audience.
Tools and Resources
- Reference Management Software: Use tools like EndNote, Zotero, or Mendeley to manage your references.
- Data Extraction Tools: Use spreadsheets or specialized software like NVivo for qualitative data extraction.
- Quality Assessment Tools: Use tools like the Cochrane Risk of Bias Tool for quantitative studies and the CASP Checklist for qualitative studies.
By following these steps, you can effectively search for and integrate both quantitative and qualitative studies in your mixed methods systematic review.
💡 Try this comparison yourself:Compare AI models side-by-side on SNEOS
Analysis
This comparison demonstrates the different approaches each AI model takes when responding to the same prompt. Here are the key differences observed:
Response Characteristics
ChatGPT: Provides a detailed response with 19 sentences.
Grok: Provides a direct response with 97 sentences.
Mistral: Provides a direct response with 48 sentences.
Key Takeaways
- Each model brings unique strengths to this type of query
- Response styles vary significantly between models
- Consider your specific use case when choosing between these models
Try This Comparison Yourself
Want to test these models with your own prompts? Visit SNEOS.com to compare AI responses side-by-side in real-time.
This comparison was generated using the SNEOS AI Comparison ToolPublished: October 15, 2025 | Models: ChatGPT, Grok, Mistral