Abstract
Tucked away towards the end of survey instruments, open-ended questions are often only examined post hoc as researchers search for strategically-placed quotations in support of their otherwise quantitatively-derived conclusions. Yet program evaluations can benefit from participants’ spontaneous insights on how their program might be improved, because these insights commonly reveal previously unforeseen aspects needing support or discouragement. This paper introduces a semantic text analysis technique for the analysis of survey data generated from open-ended questions of the form, “How can our program improve?” The technique is illustrated using data from faculty-participants in a National Science Foundation (NSF) program for the development of greater cooperation between industrial and academic researchers.
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