I need to obtain ethics approval for my mixed methods study. Help me: 1) Describe both strands clearly in IRB application
When describing the two strands of your mixed methods study in your Institutional Review Board (IRB) application, it is essential to provide a clear and detailed account of each strand. Here’s a structured approach to articulate this effectively:
1. Description of the Mixed Methods Study
Title of the Study: [Insert the title of your study]
Objective: The study aims to [describe the general aim of your research, e.g., "explore the experiences and perceptions of individuals regarding a specific health intervention using both quantitative and qualitative methods"].
2. Quantitative Strand
Description: The quantitative strand of this study will utilize [insert specific quantitative methods, e.g., surveys, experiments, etc.] to collect numerical data.
Methodology:
- Participants: We will recruit [insert number and characteristics of participants, e.g., "300 adult participants aged 18-65, who have engaged with the intervention"].
- Data Collection: Data will be collected using [describe the tools, e.g., a structured questionnaire that measures variables such as satisfaction, health outcomes, etc.].
- Analysis: The data will be analyzed using [insert statistical methods, e.g., descriptive statistics, inferential statistics, regression analysis, etc.]. This analysis will help to identify trends and correlations between the variables measured.
Ethical Considerations:
- Participants will be informed about the purpose of the study and their right to withdraw at any time without any consequences.
- We will ensure confidentiality and anonymous data collection through [insert methods, e.g., coded identifiers, secure databases].
3. Qualitative Strand
Description: The qualitative strand will involve [insert specific qualitative methods, e.g., interviews, focus groups, etc.] to gain in-depth insights into participant experiences.
Methodology:
- Participants: A subset of [insert number, e.g., "30 participants"] from the quantitative strand will be selected for in-depth interviews based on [insert criteria, e.g., "demographic diversity or notable responses"].
- Data Collection: Qualitative data will be gathered through [describe the method, e.g., semi-structured interviews lasting 30-60 minutes each, conducted virtually or in person].
- Analysis: Thematic analysis will be employed to identify patterns and themes related to participants’ experiences and perceptions regarding the intervention, utilizing [insert tools, e.g., software like NVivo or manual coding].
Ethical Considerations:
- Participants will be given full information about the interview process and their role, ensuring informed consent.
- Efforts will be made to protect participants’ identities, including using pseudonyms in reporting findings.
4. Integration of Strands
The integration of quantitative and qualitative data will provide a more comprehensive understanding of the research problem. [Briefly explain how you plan to synthesize findings from both strands, e.g., "The qualitative findings will help to contextualize and explain the trends observed in the quantitative data, adding depth to the overall analysis of participants’ experiences."]
5. Conclusion
In summary, this mixed methods study aims to gain a holistic understanding of [insert research focus]. By clearly distinguishing and elaborating on both strands of the study, we will ensure that the research adheres to ethical guidelines and respects the rights and welfare of all participants.
Additional Sections for IRB Submission
Additionally, be sure to include sections related to:
- Study Timeline
- Recruitment Strategies
- Informed Consent Process
- Data Security and Management
- Risk Assessment and Mitigation Strategies
Make sure that your description is tailored to the specific requirements and guidelines of your IRB. Good luck with your application!
Describing Study Strands in an IRB Application
For a mixed methods study, Institutional Review Board (IRB) applications (or ethics committee submissions) require clear, precise descriptions of each research strand to demonstrate ethical integrity, minimize risks, and ensure participant protections. The IRB needs to understand how qualitative and quantitative elements integrate without overlap or confusion. Focus on objectives, methods, participants, data collection, and analysis for each strand, while explaining their interplay.
I'll break this down step-by-step, assuming a typical mixed methods design (e.g., convergent parallel or sequential). Adapt this to your specific study—replace placeholders (e.g., [topic]) with your details. If your study is sequential (one strand informs the other), emphasize that linkage.
1. Overall Study Overview
Start with a high-level summary in the IRB application (often in Section 1: Study Description). This sets the context before diving into strands.
Example Text:
"This is a mixed methods study investigating [briefly state aim, e.g., 'the impact of remote work on employee mental health in tech firms']. The study employs a convergent parallel design, collecting qualitative and quantitative data simultaneously and integrating them during analysis to provide a comprehensive understanding. Both strands involve human participants and adhere to ethical standards for informed consent, confidentiality, and risk minimization. The quantitative strand assesses prevalence and correlations via surveys, while the qualitative strand explores experiences through interviews. Integration will occur at the interpretation stage to triangulate findings."
- Why this works: It signals the mixed methods nature early, justifies the approach (e.g., why mixed methods over single-method), and previews integration to show methodological rigor. Cite relevant guidelines like Creswell & Plano Clark's mixed methods framework if applicable.
2. Describing the Quantitative Strand
Dedicate a subsection (e.g., under "Research Design" or "Procedures") to this strand. Be explicit about sampling, instruments, and data handling to address validity and reliability concerns.
Key Elements to Include:
- Objectives: What specific questions does this strand address? (E.g., "To quantify the relationship between remote work hours and stress levels.")
- Participants: Number, recruitment method, inclusion/exclusion criteria (e.g., "200 full-time tech employees, recruited via company email lists; must be 18+ and employed ≥6 months").
- Methods/Data Collection: Tools (e.g., validated surveys like the Perceived Stress Scale), format (online via Qualtrics), duration (e.g., 15-20 minutes), frequency (one-time).
- Analysis: Statistical methods (e.g., regression analysis in SPSS).
- Ethical Considerations: How risks (e.g., survey fatigue) are mitigated; data security (e.g., anonymized storage on encrypted servers).
Example Text:
"The quantitative strand uses a cross-sectional survey to measure key variables. Participants (n=200) will complete an anonymous online questionnaire assessing [variables, e.g., 'work hours, stress levels, and productivity']. Recruitment will occur through purposive sampling from [source, e.g., three partnering tech companies], with informed consent obtained via an initial digital form. The survey includes validated scales: the 10-item Perceived Stress Scale (PSS-10) and a custom productivity index (Cronbach's α > 0.80 in pilot testing). Data will be collected over 4 weeks, with each session lasting 15-20 minutes. Analysis will involve descriptive statistics and multiple regression to identify predictors of mental health outcomes. To ensure confidentiality, responses will be de-identified immediately, stored on a password-protected university server compliant with HIPAA/GDPR, and accessible only to the research team. Minimal risks include temporary discomfort from self-reporting; participants can withdraw at any time without penalty."
- Tip: If your quant strand involves experiments or interventions, detail those here (e.g., pre/post measures). Quantify everything possible to build credibility.
3. Describing the Qualitative Strand
Mirror the structure from the quantitative section but emphasize depth over breadth. IRBs scrutinize qualitative work for emotional risks (e.g., sensitive topics) and bias in interpretation.
Key Elements to Include:
- Objectives: Exploratory aims (e.g., "To understand lived experiences of remote work challenges.").
- Participants: Subset or separate sample (e.g., "20-25 interviewees selected via stratified sampling from survey respondents; purposive for diversity in role/gender").
- Methods/Data Collection: Techniques (e.g., semi-structured interviews), mode (Zoom or in-person), duration (e.g., 45-60 minutes), probing questions.
- Analysis: Approach (e.g., thematic analysis using NVivo).
- Ethical Considerations: Rapport-building, debriefing, handling distress; transcription anonymity.
Example Text:
"The qualitative strand consists of in-depth semi-structured interviews to capture nuanced perspectives on [topic, e.g., 'remote work's emotional toll']. A subset of 20-25 participants will be purposively selected from the quantitative survey pool to ensure diversity (e.g., varying tenure and demographics). Interviews, lasting 45-60 minutes, will be conducted virtually via Zoom, with audio recorded only after verbal consent. An interview guide will cover topics like daily routines and coping strategies, allowing flexibility for emergent themes. Data will be transcribed verbatim and analyzed using Braun and Clarke's thematic analysis framework in NVivo software, with member checking for accuracy. Ethical safeguards include obtaining written consent outlining voluntary participation and right to skip questions; interviews will pause if distress arises, with referrals to counseling resources provided. All recordings/transcripts will be pseudonymized, stored securely for 5 years post-study, and destroyed thereafter. Risks are low but may include revisiting stressful experiences; benefits include contributing to workplace policy improvements."
- Tip: If sequential, note how quant informs qual (e.g., "Interviewees selected based on high-stress survey scores"). Highlight reflexivity (your role as researcher) to address bias.
4. Integration and Overall Procedures
End with how strands connect, as IRBs evaluate the whole study for coherence and efficiency (e.g., avoiding redundant participant burden).
Example Text:
"Data from both strands will be integrated during the interpretation phase using joint displays (e.g., side-by-side comparison of survey correlations and interview themes) to explain divergences or convergences, such as why quantitative data shows low stress prevalence but qualitative reveals hidden coping mechanisms. No new data collection occurs post-integration. Total participant burden is approximately 1 hour (survey + optional interview). The study timeline is 6 months, with full IRB oversight."
- Why this works: It demonstrates methodological justification, reducing approval delays.
Additional IRB Tips
- Attachments: Include protocols (survey/interview guides), consent forms, recruitment scripts, and data management plans. For mixed methods, a flow diagram visualizing strands can clarify.
- Risks/Benefits: Discuss cumulatively (e.g., "Combined strands offer holistic insights without increasing risks beyond individual components").
- Common Pitfalls to Avoid: Vague language (e.g., say "thematic analysis" not "analyze interviews"); assuming IRB knows mixed methods—define terms.
- Resources: Consult your institution's IRB template (e.g., via Cayuse or ERICA systems). Reference APA ethics guidelines or COREQ for reporting standards. If international, align with local regs (e.g., GDPR in EU).
- Next Steps: Pilot test descriptions for clarity. If you share more study details (e.g., your field or specific methods), I can refine this further.
This structure should help your application sail through review—IRBs appreciate transparency in complex designs. If you need help with other sections like consent forms, let me know!
💡 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 direct response with 54 sentences.
Grok: Provides a direct response with 135 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
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This comparison was generated using the SNEOS AI Comparison ToolPublished: October 15, 2025 | Models: ChatGPT, Grok