Psychometrics for Beginners
Christian Geiser teaches the basics of psychometrics, factor analysis, classical test theory, and item response theory for beginners using free software.
In this beginner-friendly, hands-on course, Christian Geiser walks you through the basics of factor analysis, classical test theory, and item response theory using FREE software. Use the dropdown menu below to see what's included in this course:
Welcome to the Course!
Session 1: What is Psychometrics?
FREE PREVIEWSession 2: Mean, Variance, Standard Deviation
Session 3: Introduction to the JASP Software
Session 4: Covariance & Correlation
Session 5: Linear & Logistic Regression
Session 6: Factor Analysis (Overview)
Session 7: Exploratory Factor Analysis (EFA)
Session 8: EFA in JASP
FREE PREVIEWSession 9: Confirmatory Factor Analysis (CFA)
Session 10: CFA in JASP
Session 11: Measurement Invariance
Session 12: Measurement Invariance in JASP
Session 1: Introduction to CTT
Session 2: Strictly Tau-Parallel Model
Session 3: Strictly Tau-Parallel Model in JASP
Session 4: Spearman-Brown Composite Reliability
FREE PREVIEWSession 5: Essentially Tau-Parallel Model
Session 6: Essentially Tau-Parallel Model in JASP
Session 7: Essential & Strict Tau-Equivalence
Session 8: Tau-Equivalence in JASP
Session 1: Tau-Congeneric Model
Session 2: Tau-Congeneric Model in JASP
Session 3: Summary of CTT Measurement Models
Session 4: Correction for Attenuation
Session 5: Correction for Attenuation in JASP
Session 6: Additional CTT Topics
Session 7: Summary of Classical Test Theory
Session 1: Introduction to IRT
Session 2: The Rasch (1-PL) Model
Session 3: Model Fit Assessment in the Rasch Model
Session 4: The Rasch (1-PL) Model in jamovi
Session 5: The Mixed Rasch Model
Session 6: The Mixed Rasch Model in jamovi
Session 7: The Birnbaum (2-PL) Model
Session 8: The Birnbaum (2-PL) Model in RStudio
Session 9: Differential Item Functioning (DIF)
Session 10: Summary & Other IRT Models
Session 1: Introduction to Validity Theory
Session 2: Approaches to Test Validation
Session 3: The Multitrait-Multimethod (MTMM) Approach
Session 4: Campbell & Fiske’s Validity Criteria
Session 5: MTMM Matrix in JASP & jamovi
Session 6: The CFA-MTMM Approach
Session 7: Summary on Validity
Session 8: Thank You for Taking This Course!
Dr. Christian Geiser

Dr. Christian Geiser is the Director of Education at Quantfish, former professor of quantitative psychology, and author of two books on latent variable modeling. As a leader in the development of measurement and SEM techniques, he has helped thousands of researchers and students around the world to achieve their analytic goals.
Tax-exempt institutions in the United States, please start here.
Psychometics for Beginners is open for pre-registration. Prices go up when the course becomes available on May 8th, 2026.
Please contact us if you need an invoice prior to purchase or have a group larger than six.
Payment is accepted by credit card, Paypal, WeChat, or bank transfer (euros & GPB). Contact us for bank transfer instructions or WeChat invoicing.
Group licenses provide the lowest per-person cost.
Individual: Student/Post Doc
Professional
Group | Up to 6 Users
This course is for absolute beginners to psychometrics. No experience is required. (Regression is covered for anyone needing a refresher).
The timing is entirely up to you. Once you enroll and the course has launched, you will have unlimited access to the content. You are free to pause and return to your lessons as needed.
Dr. Geiser is happy to answer questions related to course content and Quantfish promptly resolves any technical issues related to the course platform. If you are interested in personal consultation on your own data, please contact us to get started.
Christian Geiser teaches Classical Test Theory analysis in this on-demand course.
Tenko Raykov teaches IRT in this on-demand course.
Joseph Taylor teaches you to analyze Rasch models in R and Winsteps.
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QuantFish is dedicated to providing courses that improve your analytic skills with accessible lessons from the world's leading methodologists. Psychometrics for Beginners is backed by a complete money-back guarantee for 7 days following the start of the course.