Academic Performance, Age, Gender, and Ethnicity in Online Courses Delivered by Two-Year Colleges

Autor:	Carolyn Rude-Parkins, Rod P. Githens, Bruce Jost
Rok vydání:	2012
Předmět:	Analysis of covariance Variables media_common.quotation_subject Multilevel model Ethnic group Regression analysis Academic achievement Education Order entry Mathematics education Psychology media_common Demography Cumulative grade point average
Zdroj:	Community College Journal of Research and Practice. 36:656-669
ISSN:	1521-0413 1066-8926
DOI:	10.1080/10668921003744876
Popis:	This study investigated the effects the demographic variables age, gender, and ethnicity and their interactions had on academic performance in online courses delivered by public two-year colleges in Kentucky. The study controlled for previous academic performance measured by cumulative grade point average (GPA). The study used a random sample (N = 320) of all students who had enrolled in at least one online course delivered by the institutions of the Kentucky Community and Technical College System in the spring 2008 semester. A linear hierarchical multiple regression acting as ANCOVA served as the main analysis, with the order entry as follows: cumulative GPA; independent variables (age, gender, ethnicity); interaction vectors; and product vectors. Final course grade served as the dependent variable. The results of the analysis indicated that only cumulative GPA was a significant predictor, explaining approximately 40% of the variance of the final grade. Although differences in final grades were present a...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::93a71972a3fe15b0e27f0bbf44178548 https://doi.org/10.1080/10668921003744876 Zobrazit plný text záznamu