Psychometrics
PSYCHOMETRICS focuses on constructing, analyzing, and interpreting psychometric assessments with emphasis on clinical psychology and evolving test theory issues.
Summary
Recent recorded grades — Spring 2010: 3.83 GPA, 83.3% A/AB (n=6 letter grades); Spring 2012: 4.00 GPA, 100.0% A/AB (n=11 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=6 letter grades).
What you’ll be able to do
Learn the tenants of test theories (classical, IRT), with a focus on psychological tests.
Learn to write good test items.
Use factor analysis and reliability analysis to construct a scale.
Evaluate different types of validity.
Learn methods of evaluating bias and fairness of tests. Understand the impact of societal forces, such as racial discrimination, in evaluating test bias and fairness.
Understand the use of tests for screening, including the roles of specificity, sensitivity, and base rates.
Show the ability to engage in scholarly analysis with peers and the instructor by engagement on the discussion boards.
Gain experience making narrated video presentations with Powerpoint or Keynote. By doing so, become responsible for part of the course content.
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapProfessors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
No records available.
Student experience
the class
Recent recorded grades — Spring 2010: 3.83 GPA, 83.3% A/AB (n=6 letter grades); Spring 2012: 4.00 GPA, 100.0% A/AB (n=11 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=6 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Test theories including classical and IRT
- Measurement concepts: scales, reliability, validity, bias
- Tests for screening: specificity, sensitivity, base rates
Skills
- Construction, analysis, and interpretation of psychometric assessments
- Writing good test items
- Using factor analysis and reliability analysis to construct scales
- Evaluating bias and fairness of tests
Grades
Latest available · Spring 2022— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2022
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
No offering records for the selected term.
Raw records
[]
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
No records available.
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "c38a266431780a2b154a3a4d92558673103dccb830ae79d9837351365d40eb40",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}