Achieving a National Sample of Nursing Homes: Balancing Probability Techniques and Practicalities

Area of Science:

• Nursing Research Methodology
• Quantitative Research Design

Background:

• Sampling design is crucial for quantitative research quality but often overlooked in nursing studies.
• Achieving a representative sample requires balancing statistical principles with real-world limitations.

Purpose of the Study:

• To detail a methodology for obtaining a representative sample of Australian nursing homes.
• To illustrate how to manage constraints while employing probability sampling techniques.
• To provide recommendations for high-quality, probability-based nursing research samples.

Main Methods:

• A stratified, random sampling methodology was used to select 53 nursing homes from a population of 2,774.
• Practical constraints (budgetary, logistical) led to the exclusion of some nursing homes from the sampling frame.
• Chi-square tests for goodness of fit assessed sample representativeness against the study population.

Main Results:

• The final sample demonstrated adequate representation across key demographic variables.
• Nonsignificant chi-square results indicated good fit for distance from major cities and organization type.
• A significant result for state/territory was identified and corrected using weighting adjustments.

Conclusions:

• Probability-based sampling, when adapted for practicalities, can yield representative samples in nursing research.
• Testing sample representativeness is essential for validating quantitative research findings.
• The study provides a model for robust sampling strategies in nursing home research.