Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: International Scientific Conference on Innovative Approaches to the Application of Digital Technologies in Education, SLET 2020; Virtual, Stavropol; Virtual, Stavropol
Год издания: 2020
Ключевые слова: analysis of variance, discretization, Flynn effect, grouping, intelligence, interaction effect
Аннотация: In present work we study, with use of multivariate ANOVA model, the influence of independent factors such as year, faculty, gender, on the indicators of students' general intelligence (IQ) with a sample collected in 1991-2013 at the Novosibirsk State Technical University. The peculiarity of models of this type is that the response Показать полностьюis a quantitative variable, and the input features must be qualitative. Therefore, first, the problem of converting quantitative features into categorical ones (discretization) arises, second, with a large number of levels of input qualitative features their grouping is required. If the variables are strongly correlated, then both tasks should be solved simultaneously. In this case, the optimal quality of the model should be ensured in accordance with a certain criterion. Existing methods for the features type conversion are limited to one of the tasks (discretization or grouping) and often do not take into account the relationships between the features. Therefore, an original approach is proposed that allows solving the problem and interpreting the results obtained.
Журнал: CEUR Workshop Proceedings
Выпуск журнала: 2861
Номера страниц: 370-378