Hi everyone,
Could I please ask for some advice related to the presentation of results?
Considering: 1. we may not include all the potential conditions in our QCA; changing the conditions may change the results produced (necessary condition and sufficient solutions and their parameters) (I understand the importance of selecting conditions based on theoretical knowledge).
2. Among the analyses that I have done, changing the conditions did change the results to some degree
3. the debate between conservative solutions and parsimonious solutions
My question is: is it possible (as methodologically sound), or has anybody tried to present the results from the comparison among analyses, instead of the results from one set of analyses?
I made a table (attached) that could potentially present the results in this way. In the table, I focused on the common sufficient components across analyses (e.g., A*~B*C), conditions that stand out across analyses (necessary condition from all the analyses, conditions that show up in all analyses, conditions that did not show in any analysis). The analyses vary in conditions. For example, analysis 1 comprises conditions 1,2,3,4; analysis 2 comprises conditions 1,2,3,5,6. All the sufficient solutions are based on parsimonious solutions (because the conservative solutions are very descriptive)
Calibration thresholds will be tested in robustness tests.
I understand if I present the results in this way, I may not be able to show sufficient solution to "explain" the outcome, I also paid attention to single conditions (QCA would rather talk about the configurations of conditions).
However, presenting the sufficient solutions based on one set of choices (e.g., one set of conditions, calibrated in a particular way, conservative or parsimonious solutions) may only present one side of the picture (or maybe a biased picture, especially if the theoretical knowledge in the research filed is not that well developed).
Sorry about the long message. Could somebody share your thoughts? Or examples like this that you have seen?
Thank you in advance
Kind regards
Sarah