PSYC 204 - Regression Analysis and Advanced Statistics

Institution:

Saint John Fisher University

Subject:

Description:

This course focuses on linear regression as a data-analytic framework and covers introductory and intermediate concepts in regression analysis. Topics include: least-squares estimation, collinearity, regression with nominal predictors, interaction effects in regression analysis, prediction, and path analysis with regression. Other advanced statistical methods such as MANOVA, meta-analysis, or structural equation modeling are introduced. Data analysis with statistical programs such as SPSS and written communication of results are a focus throughout the course. Required of all B.S. Psychology majors; strongly recommended for B.A. Psychology majors planning to pursue research-oriented graduate programs in Psychology. Prerequisites: PSYC 200 and 201 with grades of "C" or higher.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.sjfc.edu

Phone Number:

(585) 385-8000

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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