QSMatching vs Vector model: comparing effectiveness in questionnaires retrieval

Abstract

Elaborating an useful questionnaire represents an important task for descriptive research. Poorly elaborated questions can lead to answers with meaningless brased or naive interpretations. Therefore, it may be interesting to reuse, partially or totally, questionnaires already created with the same purpose. In this paper we compare QSMatching with the vector model to calculate the similarity between questionnaires and consequently to obtain a ranking of questionnaires according to the user's query. In order to verify the effectiveness, an experiment was carried out comparing QSMatching and the vector model. The result of the analysis of the experiment shows that QSMatching is more effective than the vector model for questionnaires retrieval.