Units:4 Covers construction of surveys and tests using Classical Test Theory and Item Response Theory; data analysis; test bias and test fairness; an introduction to unidimensional and multidimensional scaling; and measurement models. Applications to cognitive processing and industrial psychology.
Prerequisites: PSYC 200 and STAT 310. Possible Instructional Methods:On-ground. Grading: A-F or CR/NC (student choice). Course Typically Offered: Fall & Spring
Student Learning Outcomes - Upon successful completion of this course students will be able to:
Describe the basic principles of Classical Test Theory and Item Response Theory.
Construct a survey based on a clearly defined construct.
Assess the psychometric qualities of surveys from a classical perspective (e.g., reliability and validity).
Utilize factor analysis to understand scale dimensionality.
Examine the potential misuse of psychological measures (e.g., in hiring discrimination and diagnostic labeling).
