Publication Date
In 2024 | 0 |
Since 2023 | 0 |
Since 2020 (last 5 years) | 0 |
Since 2015 (last 10 years) | 0 |
Since 2005 (last 20 years) | 7 |
Descriptor
Comparative Analysis | 7 |
Predictor Variables | 7 |
College Students | 5 |
Student Attitudes | 4 |
Student Surveys | 4 |
Academic Achievement | 3 |
Correlation | 3 |
Grade Point Average | 3 |
Business Administration… | 2 |
Course Evaluation | 2 |
Likert Scales | 2 |
More ▼ |
Author
Publication Type
Journal Articles | 7 |
Reports - Research | 7 |
Education Level
Higher Education | 7 |
Postsecondary Education | 7 |
Adult Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Computer Attitude Scale | 1 |
What Works Clearinghouse Rating
Wiechowski, Linda; Washburn, Terri L. – American Journal of Business Education, 2014
Student learning outcomes and course satisfaction scores are two key considerations when assessing the success of any degree program. This empirical study was based upon more than 3,000 end-of-semester course evaluations collected from 171 courses in the 2010-2011 academic year. The study, conducted at a Midwestern business college, considered the…
Descriptors: Online Courses, Financial Services, Economics Education, Comparative Analysis
Guder, Faruk; Malliaris, Mary – American Journal of Business Education, 2010
The purpose of this study is to compare the results of paper and online evaluations. The following analysis examines data from six departments of the School of Business Administration during a programmed switch from paper to online evaluations. The courses that participated in this study were divided and compared in the following manner: advanced…
Descriptors: Business Administration Education, Course Evaluation, Comparative Analysis, Student Evaluation of Teacher Performance
Lenard, Mary Jane; Wessels, Susan; Khanlarian, Cindi – American Journal of Business Education, 2010
Using a model developed by Young (2000), this paper explores the relationship between performance in the Accounting Information Systems course, self-assessed computer skills, and attitudes toward computers. Results show that after taking the AIS course, students experience a change in perception about their use of computers. Females'…
Descriptors: Computer Attitudes, Student Attitudes, Models, Academic Achievement
Bakir, Saad T. – American Journal of Business Education, 2010
We propose a nonparametric (or distribution-free) procedure for testing the equality of several population variances (or scale parameters). The proposed test is a modification of Bakir's (1989, Commun. Statist., Simul-Comp., 18, 757-775) analysis of means by ranks (ANOMR) procedure for testing the equality of several population means. A proof is…
Descriptors: Majors (Students), Grade Point Average, Nonparametric Statistics, Business Administration Education
González Geraldo, José Luis; Ferrándiz Vindel, Isabel María; Bordallo Jaén, Ana María – American Journal of Business Education, 2010
It is 2010, the established deadline of the European Higher Education Area (EHEA). The Bologna Process is an unstoppable reality. But we can not admit that this change, simply by being a significant change, must be for good. We can not also disregard the potential positive pedagogical reform the Bologna Process offers to us. Then, what is the…
Descriptors: Foreign Countries, Higher Education, Educational Change, Educational Quality
de Araujo, Pedro; Murray, James – American Journal of Business Education, 2010
In a recent study, de Araujo and Murray (2010) find empirical evidence that living on campus leads to improved student performance, finding both immediate effects (GPA improves while the student lives on campus) and permanent effects (GPA remains higher even after moving off campus). Using the same dataset, we extend the analysis to explain why…
Descriptors: College Students, Academic Achievement, Grade Point Average, Comparative Analysis
Schimmel, Kurt; Eschenfelder, Mark; Clark, John; Marco, Gayle; Racic, Stanko – American Journal of Business Education, 2009
This paper examines college selection cues and criteria differences among three important segments of students. These segments were traditional undergraduate students, adult continuing education students and graduate students. There were significant differences among the a-priori defined segments.
Descriptors: Graduate Students, Selection Criteria, Nontraditional Students, Continuation Students