Additional Challenges in Meta-methodology

Meta-methodology has both strengths and weaknesses. As Turner and Durham (2009, p 254) commented  

As is true across all research methodology, if the correct study design has been employed and rigorous methodology has permitted the acquisition of optimum-quality data, the computational analysis is typically not difficult. What is more difficult is the interpretation of the results and the appropriate degree of restraint needed to disseminate one s conclusions in a responsible manner. Given all of these considerations, the conduct and communication of a meta-analysis must be undertaken carefully, diligently, and responsibly. 

The computational analysis in meta-methodology is not difficult. The maturity and intellectual honesty of the meta-analysts lies in the choice of studies to be included in the analysis, the choice of the appropriate analysis model, the interpretation of the results, and the appropriate degree of restraint needed to disseminate their conclusions in a responsible manner in the best interests of both individual patients and public heallh. Perhaps more than for any other statistical analysis commonly reported in the sdenlific and medical literature, interpretations and conclusions can be alarmingly subjective a case study preseuted in Chap. 12 exemplifies this occurrence. 

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