Sample size reduction involves decreasing the number of observations or data points in a study or experiment, often to minimize costs, time, or resource constraints while still maintaining statistical power. This process requires careful consideration of factors such as effect size, variance, and the desired level of confidence to ensure that results remain valid and reliable.