Process tracing is a qualitative research method used to develop and test theories.[1][2][3] Process-tracing can be defined as the following: it is the systematic examination of diagnostic evidence selected and analyzed in light of research questions and hypotheses posed by the investigator (Collier, 2011). Process-tracing thus focuses on (complex) causal relationships between the independent variable(s) and the outcome of the dependent variable(s), evaluates pre-existing hypotheses and discovers new ones. It is generally understood as a "within-case" method to draw inferences on the basis of causal mechanisms, but it can also be used for ideographic research or small-N case-studies.[4][5] It has been used in social sciences (such as in psychology[2]), as well as in natural sciences.[5]
Scholars that use process tracing evaluate the weight of evidence on the basis of the strength of tests (notably straw-in-the-wind tests, hoop tests, smoking gun tests, double decisive tests).[5] As a consequence, what matters is not solely the quantity of observations, but the quality and manner of observations.[5][6] By using Bayesian probability, it may be possible to make strong causal inferences from a small sliver of data through process tracing.[5][7] As a result, process tracing is a prominent case study method.[8] Process tracing can be used to study one or a few cases, in order to determine the changes that have occurred over time within these cases and causal mechanisms are responsible for this change.[1]
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