EPSE 596 074 Course Syllabus 2015
Course Syllabus for EPSE 596 074
Correlational Designs and Analysis in Educational Research
COUSE LOGISTICS
Section Code
EPSE 596 074
Time
4:30-am - 7:30 pm, Thursday, Winter Term 2 (Jan 05, 2015 to Apr 10, 2015)
Location
Neville Scarfe 204A, Computer Lab 1004, Vancouver
Course Format
Seminar
Credits
3
Prerequisites
EPSE 482 and EPSE 481
Instructor
Dr. Amery Wu
Course Correspondence email at amery.wu@ubc.ca
Office Hours
By appointment via email
Textbook
Cohen, J., Cohen, P., & Stephen, G. West, and Leona S. Aiken (2003). Applied multiple regression/correlation analysis for the behavioral sciences (Third Edition)
ISBN: 978-0805822236
Other Support
The Department of ECPS provides methodology support to its students who are taking quantitative research-related courses or who need quantitative methodology consultancy for their thesis or research projects. Contact information:
Oscar Olvera at merm.methods@gmail.com
COURSE OBJECTIVES
Upon completion of this course, you should:
1) obtain clear fundamental concepts of quantitative research methodology
2) Understand the rationale and research situation for choosing among the following three regression methods for research purposes:
a) ordinary least squares regression
b) binary logistic regression
c) multilevel linear regression,
3) acquire a solid understanding of the OLS regression and binary logistic regression in the following aspects: the conceptual foundation, data collection design, model assumption, model selection, model estimation, model diagnostics interpretation and application, as well as the multilevel linear regression in the following aspects: the conceptual foundation, data collection design, and interpretation & application,
4) become a hands-on user and critical customer of the above three regression methods, and
5) use SPSS with confidence as a tool for regression analyses for research purposes.
LEARNING STRATEGIES FOR SUCCESSFUL OUTCOMES
Contextualizing through preview & examples
Correlational Designs and Analysis in Educational Research
COUSE LOGISTICS
Section Code
EPSE 596 074
Time
4:30-am - 7:30 pm, Thursday, Winter Term 2 (Jan 05, 2015 to Apr 10, 2015)
Location
Neville Scarfe 204A, Computer Lab 1004, Vancouver
Course Format
Seminar
Credits
3
Prerequisites
EPSE 482 and EPSE 481
Instructor
Dr. Amery Wu
Course Correspondence email at amery.wu@ubc.ca
Office Hours
By appointment via email
Textbook
Cohen, J., Cohen, P., & Stephen, G. West, and Leona S. Aiken (2003). Applied multiple regression/correlation analysis for the behavioral sciences (Third Edition)
ISBN: 978-0805822236
Other Support
The Department of ECPS provides methodology support to its students who are taking quantitative research-related courses or who need quantitative methodology consultancy for their thesis or research projects. Contact information:
Oscar Olvera at merm.methods@gmail.com
COURSE OBJECTIVES
Upon completion of this course, you should:
1) obtain clear fundamental concepts of quantitative research methodology
2) Understand the rationale and research situation for choosing among the following three regression methods for research purposes:
a) ordinary least squares regression
b) binary logistic regression
c) multilevel linear regression,
3) acquire a solid understanding of the OLS regression and binary logistic regression in the following aspects: the conceptual foundation, data collection design, model assumption, model selection, model estimation, model diagnostics interpretation and application, as well as the multilevel linear regression in the following aspects: the conceptual foundation, data collection design, and interpretation & application,
4) become a hands-on user and critical customer of the above three regression methods, and
5) use SPSS with confidence as a tool for regression analyses for research purposes.
LEARNING STRATEGIES FOR SUCCESSFUL OUTCOMES
Contextualizing through preview & examples