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What are the two most significant potential weaknesses in your data collection design, and what active steps are embedded in your plan to counteract them?

As I'm finalizing my research design chapter, I'm trying to move beyond just listing limitations. I want to demonstrate rigorous forethought to my committee. I'm curious how experienced researchers pinpoint the most significant structural vulnerabilities in their own plans and, crucially, how they embed the countermeasures from the outset, rather than treating them as afterthoughts.

 

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By Shabir Ahmed Answered 1 year ago

Based on my experience reviewing countless proposals, two common critical weaknesses are participant sampling bias and measurement drift over time. For the first, I've embedded a stratified recruitment quota system from the start, paired with a transparency log documenting all outreach attempts. For the latter, I would recommend building in scheduled inter-coder reliability checks and calibration sessions for any instruments, not as an ad-hoc task, but as fixed milestones in your Gantt chart. This shows the committee you’re not just collecting data, but actively stewarding its quality.

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