What Satisfies Students? Mining Student-Opinion Data with Regression and Decision-Tree Analysis. AIR 2002 Forum Paper.

Autor/inn/en	Thomas, Emily H.; Galambos, Nora
Titel	What Satisfies Students? Mining Student-Opinion Data with Regression and Decision-Tree Analysis. AIR 2002 Forum Paper.
Quelle	(2002), (26 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Beigaben	Tabellen
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Tagungsbericht; College Faculty; College Students; Higher Education; Prediction; Regression (Statistics); Satisfaction; Student Characteristics; Student Experience + Suchen Sie Ihr Suchwort? Fakultät; Collegestudent; Hochschulbildung; Hochschulsystem; Hochschulwesen; Vorhersage; Regression; Regressionsanalyse; Zufriedenheit; Studienerfahrung
Abstract	To investigate how students' characteristics and experiences affect satisfaction, this study used regression and decision-tree analysis with the CHAID algorithm to analyze student opinion data from a sample of 1,783 college students. A data-mining approach identifies the specific aspects of students' university experience that most influence three measures of general satisfaction. The three measures have different predictors and cannot be used interchangeably. Findings show that academic experiences are influential. Faculty preparedness, in particular, which has a well-known relationship to student achievement, emerges as a principal determinant of satisfaction. Social integration and pre-enrollment opinions are also important. Campus services and facilities have limited effects, and students' demographic characteristics are not significant predictors. Decision-tree analysis reveals that social integration has more effect on the satisfaction of students who are less academically engaged. (Contains 7 tables and 29 references.) (Author/SLD)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2004/1/01