Akademik Veri Yönetim Sistemi
Kuram ve Uygulamada Egitim Bilimleri, cilt.10, sa.3, ss.1397-1407, 2010 (SSCI)
The main focus of logistic regression analysis is classification of individuals in different groups. The aim of the present study is to explain basic concepts and processes of binary logistic regression analysis intended to determine the combination of independent variables which best explain the membership in certain groups called dichotomous dependent variable. Independent variables in this study are as follows: total score in the Scientific Thinking Skills Scale, total score in the Epistemological Belief Scale and total score in the Fatalism Scale. The dependent (predicted, criteria) variable is the level of critical thinking. While the three independent variables are constants, the dependent variable is defined as a categorical variable to include high and low critical thinking levels. The study group consists of 200 students from Ankara University, Faculty of Educational Sciences, Department of Guidance and Psychological Counseling during the 2006-2007 academic years. In the study, the following were used: the Epistemological Belief Scale adapted to Turkish by Deryakulu and Büyüköztürk (2002), the California Critical Thinking Disposition Scale adapted to Turkish by Kökdemir (2003), the Scientific Thinking Skills Scale" developed by Gündoǧdu (2002) and the Fatalism Scale" developed by Şekercioǧlu (2008). The study presents information about how to relatively assess each application step of logistic regression analysis. When the coefficient predictions of aimed model variables at the end of the study are considered, it is observed that a one-unit increase in the predictive variable of scientific thinking skills leads to an increase of 14.4% in high critical thinking odds. It is also seen that a one-unit increase in the predictive variable of epistemological belief leads to an increase of 4.9% in high critical thinking odds. © 2010 Eǧitim Danişmanliǧi ve Araştirmalari İletişim Hizmetleri Tic. Ltd. Şti.