The Use of Alternative Regression Methods in Social Sciences and the Comparison of Least Squares and M Estimation Methods in Terms of the Determination of Coefficient

Autor/in	Coskuntuncel, Orkun
Titel	The Use of Alternative Regression Methods in Social Sciences and the Comparison of Least Squares and M Estimation Methods in Terms of the Determination of Coefficient
Quelle	In: Educational Sciences: Theory and Practice, 13 (2013) 4, S.2151-2158 (8 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1303-0485
Schlagwörter	Foreign Countries; Regression (Statistics); Least Squares Statistics; Computation; Social Science Research; College Students; High School Students; Adolescents; Grades (Scholastic); Mathematics Achievement; Aggression; Burnout; Robustness (Statistics); Turkey; Maslach Burnout Inventory + Suchen Sie Ihr Suchwort? Ausland; Regression; Regressionsanalyse; Social scientific research; Sozialwissenschaftliche Forschung; Collegestudent; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; Notenspiegel; Mathmatics sikills; Mathmatics achievement; Mathematical ability; Mathematische Kompetenz; Burn out (Psychology); Burnout-syndrom; Burnout-Syndrom; Widerstandsfähigkeit; Türkei
Abstract	The purpose of this study is two-fold; the first aim being to show the effect of outliers on the widely used least squares regression estimator in social sciences. The second aim is to compare the classical method of least squares with the robust M-estimator using the "determination of coefficient" (R[superscript 2]). For this purpose, analyzes were performed on three data sets. The first set of data is hypothetical, consisting of 15 students' general mathematic and linear algebra final scores. The second set of data was collected from 231 adolescents attending different high schools in Turkey. The data were collected using the Scale of Aggressiveness, Academic Self-efficacy Scale, Scale of Peer Pressure, and Trait Anxiety Inventory. The third set of data was collected from 1,385 high school students. This data were collected using the Maslach Burnout Inventory-Students Survey, Coping Styles of Stress Scale, Test Anxiety Inventory, Adolescence Self-Efficacy Scale, and Parental Attitude Scale. It was seen that, comparisons with small, medium and large volume samples, especially for the data sets including outlier/outliers, R[superscript 2] in M estimate is better alternatives than those having least squares. The findings are discussed in light of the recommendations presented in the literature. (As Provided).
Anmerkungen	Educational Consultancy, Ltd (EDAM). Kisikli Mh. Alemdag Cd. Yan Yol Sk., SBK Is Merkezi No:5 Kat:1, Uskudar-Istanbul, 34692 Turkey. Tel: +90-216-481-30-23; Fax: +90-216-481-31-36; e-mail: editor@edam.com.tr; Web site: http://www.edam.com.tr/estp.asp
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10