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Research design: sampling techniques

D S Pathak, J M Meinhold, D J Fisher

American Journal of Hospital Pharmacy

|July 1, 1980

Summary

This summary is machine-generated.

Choosing between a census and a sample depends on study conditions. Researchers can control sampling error by increasing sample size, but total error (sampling and nonsampling) is the main concern.

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Area of Science:

Statistics
Research Methodology

Background:

Deciding between a census and a sample is crucial for study design.
Understanding different sampling procedures is essential for valid research.
Accurate sample size determination impacts study reliability.

Purpose of the Study:

To discuss conditions influencing census versus sampling decisions.
To outline major probability and nonprobability sampling procedures.
To present statistical methods for sample size determination.

Main Methods:

Literature review of sampling procedures.
Discussion of statistical approaches for sample size calculation.
Provision of a researcher's checklist for sampling decisions.

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Main Results:

Identified conditions for census or sample selection.
Categorized probability and nonprobability sampling types.
Detailed statistical methods for simple random sample size determination.

Conclusions:

Researchers must consider total error, not just sampling error.
Increasing sample size mitigates sampling error but not necessarily total error.
Careful consideration of sampling methods and error is vital for robust study design.