【局限】研究采用独立样本而非追踪同一组受访者，这意味着结果反映的是人群层面的变化而非个体变化。这种方法无法捕捉个人使用习惯的演变，也无法确定用户增长是来自新用户还是现有用户增加使用频率。

1. A sample from population with sample size n.
2. Draw a sample from the original sample data with replacement with size n, and replicate B times, each re-sampled sample is called a Bootstrap Sample, and there will totally B Bootstrap Samples.
3. Evaluate the statistic of θ for each Bootstrap Sample, and there will be totally B estimates of θ.
4. Construct a sampling distribution with these B Bootstrap statistics and use it to make further statistical inference, such as:
   • Estimating the standard error of statistic for θ.
   • Obtaining a Confidence Interval for θ.

Coenen, A., & Gureckis, T. (2021). The distorting effects of deciding to stop sampling information. PsyArXiv. https://doi.org/10.31234/osf.io/tbrea

EWB Hub x GRiPS Student Workshop—Introduction to Experience Sampling Methods. (2020, June 29). https://www.youtube.com/watch?v=RcEfuSkiR8I