Comparing distinct is not however the only way to achieve replication. It is a common misconception that longitudinal case studies represent "samples of one." However, it is important to note that the sample size for a process study is not the number of cases, But the number of temporal observations. Depending on how researchers observation in a longitudinal study can be substantial. For example, van Oorschot et al. (2013) focus on 344 individually coded events in their case history of a failing project to develop an explanatory model that explains their observations. In their archival study, Bingham and Kahl (2013) observed 399 articles and books from 1945-75 showing development of a business computer schema in the insurance industry.