Abstract

In the current scenario of Production Engineering, where analysis tools are applied like indicators of production, control and optimization of productive processes or even in the application of advanced analytical methods to support decision making, the Three-parameter Logistic Model (ML3) is one of the most promising, belonging to the Item Response Theory (IRT). This model provides ways of representing the relation between the probabilities of an individual giving a certain response to an item. Also it can identify latent features and parameters of the items, in the area of study knowledge. The objective of this research was to verify the scientific productions found in the electronic databases selected around the Three Parameters Logistic Model. A bibliometrics was carried in the year of 2012 until the last publication of the month of July of 2017. The bases that were investigated are Web of science, Scopus, SciELO and Google Scholar. The authors found twelve articles about the subject. The year of 2016 was the most productive (33,3%), articles with three authors were the most frequent (41,7%), SAGE Journals Educational and Psychological Measurement was the journal with the highest number of publications (25.0%), the USA was the most productive country (41.7%) and Yorkville University was the most profitable university (16.7%). The conclusion is that although the ML3 is relevant for the development of several areas of Production Engineering in relation to IRT, it still little used and exploited in the production of scientific knowledge, revealing a potential area for the development of new researches.

Authors and Affiliations