The width of the confidence interval is the difference between the upper limit and the lower limit of the interval. The width is determined by
1. The confidence level, or the value of z
2. The sample size, n
If you increase the confidence level, the width of the interval increases. The higher probability for the population parameter to belong to the interval leads to a wider interval. The result will be less information about the population parameter. Instead you can decrease the width of the interval by taking a larger sample. A quadrupling of the sample size will lead to a divide into half of the interval.
Thus, if you want to decrease the width of a confidence interval, you have two choices:
1. Lower the confidence level
2. Increase the sample size
However, lowering the confidence level is not a good choice because a lower confidence level may give less reliable results. Therefore, you should always prefer to increase the sample size if you want to decrease the width of a confidence interval.