How many is enough? Justifying sample size in descriptive quantitative research.

Area of Science:

• Quantitative Research Methods
• Survey Design

Background:

• Descriptive quantitative research frequently employs surveys for data collection.
• Calculating an appropriate sample size for descriptive surveys lacks a universal formula, presenting a common challenge.
• Insufficient sample sizes risk failing to answer research questions, while excessive samples incur resource implications.

Purpose of the Study:

• To explore key considerations for justifying adequate sample size in descriptive quantitative research.
• To provide researchers with strategies for determining and defending sample size choices.

Main Methods:

• This study explores existing literature and expert considerations for sample size justification.
• It focuses on practical factors influencing sample size decisions in survey research.

Main Results:

• Several factors aid in justifying sample size, including response rates, use of validated instruments, variability in responses, and planned statistical analyses.
• Response rates offer guidance on the proportion of the target population reached.
• Consideration of analytical techniques and data spread informs sampling decisions.

Conclusions:

• A transparent approach to justifying sample size in descriptive quantitative research enhances study robustness.
• Utilizing factors like response rates and analytical considerations provides a clear rationale for sample adequacy.
• Demonstrating a well-justified sample size optimizes resource allocation and strengthens research credibility.