Comparison of Results Obtained from Logistic Regression, CHAID Analysis and Decision Tree Methods

Autor/inn/en	Aksu, Gokhan; Reyhanlioglu Keceoglu, Cigdem
Titel	Comparison of Results Obtained from Logistic Regression, CHAID Analysis and Decision Tree Methods
Quelle	In: Eurasian Journal of Educational Research, (2019) 84, S.115-134 (20 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Aksu, Gokhan) ORCID (Reyhanlioglu Keceoglu, Cigdem)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1302-597X
Schlagwörter	Regression (Statistics); Data Collection; Information Retrieval; Predictor Variables; Mathematics Achievement; Classification; Achievement Tests; International Assessment; Secondary School Students; Foreign Countries; Evaluation Methods; Decision Support Systems; Program for International Student Assessment + Suchen Sie Ihr Suchwort? Regression; Regressionsanalyse; Data capture; Datensammlung; Prädiktor; Mathmatics sikills; Mathmatics achievement; Mathematical ability; Mathematische Kompetenz; Classification system; Klassifikation; Klassifikationssystem; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Sekundarschüler; Ausland; Entscheidungshilfe
Abstract	Purpose: In this study, Logistic Regression (LR), CHAID (Chi-squared Automatic Interaction Detection) analysis and data mining methods are used to investigate the variables that predict the mathematics success of the students. Research Methods: In this study, a quantitative research design was employed during the data collection and the analysis phases. Findings The findings obtained in this study showed that the variables, which had significant effects on the mathematical success of the students in each method, differ from each other. Although the independent variables with a significant effect on the dependent variable were different according to different methods, the findings indicated that the importance order of the variables did not change according to the method used. In this study, the correct classification ratios obtained by the class concerning PISA mathematics literacy differed by different methods. Implications for Research and Practice: CHAID analysis and REPTree algorithm may be an alternative for one another in the studies that aimed to classify individuals concerning their success. However, LR analysis should not be considered as an alternative method since it will provide significantly different results compared to the other two methods. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01