Psychometrics
Undergraduate · Statistics
Syllabus focus
Standard syllabus · STEM / applied
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Topics typically covered
Standard syllabus
Classical test theory
- Reliability: test-retest, internal consistency
- Cronbach's alpha and composite reliability
- Validity: content, criterion, and construct
- Item analysis: difficulty and discrimination
- Standard error of measurement
Factor analysis and scaling
- Exploratory factor analysis for scale development
- Confirmatory factor analysis (introduction)
- Item response theory: Rasch and 2PL models (intro)
- Differential item functioning (overview)
- Norming and score equating (introduction)
Applications
- Designing surveys and psychological instruments
- Ethical testing standards
- Computerized adaptive testing (overview)
- Reporting measurement quality in research
STEM / applied
Applied psychometrics
- Scale development projects with real data
- Software: R (psych, lavaan intro), SPSS, or Mplus preview
- Analyzing Likert and polytomous item data
- Workplace and educational assessment case studies
- Interpreting fit indices for factor models
- Communicating reliability to non-technical audiences
Additional applied practice
- Reviewing assumptions with domain experts
- Documenting analysis choices for reproducibility
- Sensitivity analyses for key modeling decisions
- Connecting results to the original research or business question
Notes
Common in psychology and education departments. Introduces classical test theory and item response theory at an undergraduate level.