Calibration
Due to its set-theoretic foundation, QCA requires the transformation of measures into sets. Thus, we assigned a score between 0 (non-membership) and 1 (full membership) to every expression of our variables. We used the direct method of calibration to transform the raw data into set-membership scores [As described above, we assessed all items using 5-point Likert scales. Given this scale, we set the following calibration anchors (for the conditions and the outcome). Using an exclusion cutoff of 2, we assigned a set-membership score close to 0 to every practice that (strongly) disagreed with the respective item. Using an inclusion cutoff of 5, we assigned a set-membership score close to 1 to every practice that strongly agreed with the respective item. With a crossover point of 3.5, we assigned a set-membership score greater than 0.5 to every practice that agreed with rather than was unsure about the respective construct.