Survey & Sampling Design
The validity of your research findings depends heavily on how your sample was drawn. Our sampling specialists design scientifically defensible sampling strategies — calculating the right sample size, selecting the most appropriate method, and building in bias controls — so your results can be generalised with confidence.
Features & Deliverables
Key Features
Population framing and sampling frame development
Sample size calculation with statistical power analysis
Probability and non-probability sampling method selection
Response rate optimisation and non-response bias strategies
Pilot testing protocol and refinement
What You Receive
Deliverables
Documented sampling plan and rationale
Sample size calculation with statistical justification
Pilot testing protocol document
Who This Is For
Researchers designing primary studies needing statistically defensible sampling procedures.
Our Process
Population Definition
Target population and sampling frame established.
Strategy Selection
Appropriate sampling method chosen with justification.
Size Calculation
Required sample size calculated with statistical power.
Documentation
Complete sampling plan written for your methodology chapter.
The Nexor Research Publications Difference
What sets our survey & sampling design service apart from the alternatives.
Statistically Defensible
We calculate your sample size using recognised power analysis formulas, providing the statistical justification reviewers and examiners expect.
Bias Reduction
We identify potential sampling biases specific to your study and build explicit mitigation strategies into your design, demonstrating methodological rigour.
Methodology Ready
The sampling plan is written in the language of your methodology chapter, ready to insert directly with minimal editing.
Common Questions
How do you calculate the required sample size?
Using power analysis based on your expected effect size, desired statistical power (typically 0.8), significance level, and the tests you plan to run. G*Power and similar tools are used.
What is the difference between probability and non-probability sampling?
Probability sampling allows statistical generalisation. Non-probability sampling is used when a sampling frame is unavailable. We help you choose and justify the most appropriate method.
I have a very small target population — can you still design a valid plan?
Yes. Small populations require specific strategies such as total population sampling or theoretical sampling for qualitative studies, which we design and justify accordingly.
Do you help with the ethics of recruiting participants?
Yes. We address participant recruitment ethics — consent, data protection, and voluntary participation — within the sampling and ethics sections of your methodology.
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