Multilevel Analysis of the Effects of Student and Course Characteristics on Satisfaction in Undergraduate Liberal Arts Courses

Autor/inn/en	Baek, Sun-Geun; Shin, Hyo-Jeong
Titel	Multilevel Analysis of the Effects of Student and Course Characteristics on Satisfaction in Undergraduate Liberal Arts Courses
Quelle	In: Asia Pacific Education Review, 9 (2008) 4, S.475-486 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1598-1037
Schlagwörter	Literature Reviews; Liberal Arts; Student Characteristics; Undergraduate Study; Multivariate Analysis; Participant Satisfaction; Predictor Variables; Course Evaluation; Causal Models; Foreign Countries; Questionnaires; Performance Factors; Instructional Effectiveness; South Korea + Suchen Sie Ihr Suchwort? Grundstudium; Multivariate Analyse; Prädiktor; Kausalanalyse; Ausland; Fragebogen; Leistungsindikator; Unterrichtserfolg; Korea; Republik
Abstract	The purpose of this study is to analyze the effects of student and course characteristics on student satisfaction in courses by using a two-level hierarchical linear model (HLM). Based on literature reviews, 13 research variables ((1) student gender, (2) student academic year, (3) student major, (4) student reason for taking the course, (5) student level of course participation, (6) student expected grade, (7) student achieved grade, (8) faculty gender, (9) faculty age, (10) faculty status, (11) academic field of the course, (12) class size, and (13) course type) were selected and specified as fixed effects in the analysis model. Data were 57,216 ratings of 1,481 undergraduate liberal arts courses at Seoul National University in 2006. The result of unconditional model analysis revealed that student characteristics' effects on student satisfaction in courses (within-course effects, 88.1%) were much larger than course characteristics' effects (between-courses effects, 11.9%). The result of conditional model analysis specifying student and course level predictors revealed that those 12 research variables, with the exception of student gender, had statistically significant effects on student satisfaction in courses. The explained variance was 22.0% in student level, 65.8% in course level, and 27.2% of the total variance. (Contains 7 tables and 3 figures.) (As Provided).
Anmerkungen	Education Research Institute, Seoul National University. Department of Education, 599 Kwanak-Ro, Kwanak-Gu, Seoul 151-748, South Korea. Tel: +82-2-880-5896; Fax: +82-2-889-6508; e-mail: aper2@hanmail.net; Web site: http://eri.snu.ac.kr/aper
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10