How does the choice of confidence level (e.g., 95%) affect the width of the confidence interval?

A higher confidence level (e.g., 99%) requires a wider confidence interval than a lower confidence level (e.g., 90%). This is because a higher confidence level means we are more certain that the true population parameter lies within the interval, so we need to account for a greater margin of error.