Abstract

Even in the best-resourced science communication institutions, poor quality evaluation methods are routinely employed. This leads to questionable data, specious conclusions and stunted growth in the quality and effectiveness of science communication practice. Good impact evaluation requires upstream planning, clear objectives from practitioners, relevant research skills and a commitment to improving practice based on evaluation evidence.

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