PSYC 300NNN - Structural Equation Modeling

Institution:

Westminster College (Salt Lake City)

Subject:

Psychology

Description:

Structural Equation Modeling (SEM) refers to a family of statistical methods for modeling the relationships between variables. As a research tool, SEM integrates and extends features of analysis of variance (ANOVA) procedures, linear multiple regression, and factor analysis by allowing the testing of predictive and causal relationships among continuous and categorical variables, both observed and unobserved (latent). This course will provide a conceptual as well as an applied, hands-on understanding of SEM assumptions, analyses, and the interpretation of data, and is recommended for students, faculty, and staff that are interested in learning about how SEM can be used to model various forms of quantitative data, using null-hypothesis testing and Bayesian approaches. Statistical programs, such as R, will be highlighted as a way to learn about and apply SEM to a wide-variety of research questions and hypotheses in the sciences, business, and beyond.

Credits:

2.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.westminstercollege.edu

Phone Number:

(801) 484-7651

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Four-one-four plan

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