Item Response Theory to analyze academic attitudes and conceptions in the Statistics Discipline
DOI:
https://doi.org/10.5902/2179460X40543Keywords:
Likert Scale, Two-parameter Logistic Model, Conceptions, Attitudes, FeelingsAbstract
The research aimed to analyze the attitudes and the conception of undergraduate students of the Federal University of Santa Maria in relation to the discipline of Statistics. Were interviewed 256 academics from various undergraduate courses who attended the discipline of Statistics. The applied questionnaire adopted the Likert scale, composed of 20 statements about Statistics, where 10 were positive statements and 10 negative statements, and for data analysis used the Two Parameter Logistic Model of Item Response Theory. The results showed that all 20 items have a good quality and can adequately estimate the level of feeling of students who have a medium feeling in relation to Statistics, between about 1.5 standard deviation around the average. However, there is a lack of items to adequately measure those students who have extreme feelings about Statistics, that is, those who are positioned 1.5 standard deviation above or below average.
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