You are here

BIVARIATE CORRELATION ANALYSIS FOR ELECTRONICS ENGINEERING PROGRAM IN HIGHER EDUCATION

Journal Name:

Publication Year:

Author NameUniversity of Author
Abstract (2. Language): 
In this work, we established a statically connection between age, college entrance score and student performance, and between basic science courses of first year like physics, calculus etc. and student performance. We calculated this relationship using bivariate correlation analysis. For all data, score transformation was computed with linear transformation method. Data was extracted from undergrade classes in Electronics Engineering program. We investigated the student performance for all and classifying data with correlation analysis. Additionally we analyzed all data using regression analysis.
1123-1129

REFERENCES

References: 

[1]Borden V., “Correlates of Student
Performance”, imir.iupi.edu/imi/vborden.html.
[2]Danziel J.R., Peat M., “Academic
Performance during Student Transition to
University Studies”, 3rd Pasific Rim First Year
Experience Conference, Auckland, July, 1998.
[3]Hollister J.W., “General Chemistry Workshop
Attendance and Improved Student Performance”,
J. Chem. Educ. 70, pp.1013-1015, 1993.
[4]Mendenhall W. et al., “Mathematical
Statistics with Applications”, PWS-KENT
Publishing Company, Boston, 1990.
[5]Plympton P. et al., “Daylighting in Schools:
Improving Student Performance and Health at a
Price Schools can Efford”, American Solar
Energy Society Conference, Madison,
Wisconsin, June, 2000.
[6]“Demographic Contributors to Academic
Success on the Stanford/9 Achievement Test”,
San Juan Univ. Report,
www.sanjuan.edu/services/r&e/bacademiccont.ht
m.
[7]Sherry L., Jesse D., “The Impact of
Technology on Student Achievement”, Texas
Study of Secondary Education, X(2), pp.15-17,
2001.
[8]Tinto, Keynote address to the Inaugural Pan
Pasific First Year Experience Conference,
Brisbane, Australia, 1995.

Thank you for copying data from http://www.arastirmax.com