Attrition Rate Formula:
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Attrition rate, also known as dropout rate, measures the percentage of participants who leave a research study before its completion. It is a critical metric for assessing study validity and potential biases in research outcomes.
The calculator uses the attrition rate formula:
Where:
Explanation: This formula calculates the proportion of participants lost during the study period, expressed as a percentage of the original sample size.
Details: Monitoring attrition rate is essential for evaluating study quality, identifying potential biases, ensuring statistical power, and maintaining the validity of research findings. High attrition rates can compromise study results and generalizability.
Tips: Enter the number of lost subjects (participants who dropped out) and initial subjects (total starting participants). Ensure lost subjects does not exceed initial subjects, and initial subjects must be greater than zero.
Q1: What is considered an acceptable attrition rate?
A: Generally, attrition rates below 20% are considered acceptable, but this varies by study type and duration. Clinical trials often aim for less than 15% attrition.
Q2: Why is attrition rate important in research?
A: High attrition can introduce selection bias, reduce statistical power, and threaten the internal and external validity of study results.
Q3: How can researchers reduce attrition?
A: Strategies include maintaining regular contact, providing incentives, minimizing participant burden, using reminder systems, and building strong rapport.
Q4: What's the difference between attrition and retention?
A: Attrition measures participants lost, while retention measures participants kept. Retention rate = 100% - Attrition rate.
Q5: When should attrition be reported?
A: Attrition should be reported in all research publications, typically in a participant flow diagram or CONSORT flowchart for clinical trials.