 Arguably, most typologies of replication make more or less fine-grained distinctions between direct replication (which closely follow the original study to verify results) and conceptual replications (which deliberately alter important features of the study to generalize findings or to test the underlying hypothesis in a new way). As suggested, this distinction may not always be known by these terms. For example, roughly the same distinction is referred to as exact and inexact replication by Keppel (1982); concrete and conceptual replication by Sargent (1981), and literal, operational and constructive replication by Lykken (1968). Computational reproducibility is most often direct (reproducing particular analysis outcomes from the same data set using the same code and software), but it can also be conceptual (analysing the same raw data set with alternative approaches, different models or statistical frameworks). For an example of a conceptual computational reproducibility study, see Silberzahn and Uhlmann 2015.