Psychometrics Seminar

Meta Analysis Using R Software Statistics Seminar London England

An introductory 3-day seminar taught by Matthew Diemer, Ph.D. in the foundations of psychometrics. Participants should have the equivalent of a two-semester graduate-level social science statistics course sequence.

Overview: Psychometrics is the science of how we measure things, such as the psychological attributes of people. These psychological attributes include abilities, aptitudes, achievement, attitudes, interests, personality traits, cognitive functioning, and mental health. Psychometrics, theoretically-informed and precise measurement, is an essential component of many of the things we hold dear. Scientific advances (e.g., can I make a claim that I am measuring what I purport to measure?), educational placement decisions (e.g., should a child be placed into a gifted program?), statistical power (e.g., is my measure precise enough to suggest that X predicts Y?), and other key considerations are all affected by psychometrics. This seminar emphasizes the conceptual understanding of and the application of psychometric principles.

Participants will receive an electronic copy of all course materials, including lecture slides, practice datasets, software scripts, relevant supporting documentation, and recommended readings. Participants are encouraged to bring their own data for “hands on” practice. Participants will also have access to a video recording of the course.

Topics include:

  • Measurement and statistical concepts specific to psychometrics
  • The latent variable modeling perspective
  • Reliability – classical and modern approaches
  • Validity – conceptual and statistical aspects
  • Factor analysis – exploratory and confirmatory
  • Instrument development & validation process
  • Measurement bias & strategies to address bias (e.g., MIMIC models)
  • Item Response Theory: 1PL (Rasch) & 2PL & 3PL models
  • How to use MPlus for psychometric analyses

London Stats Camp: October 18 – 20, 2019
Hilton Paddington London

Enrollment is open to public, students, graduates and professionals. Save a seat today, pay later.

Payment Options

Seminar Venue: Hilton Paddington London
146 Praed Street, London, W2 1EE, United Kingdom
Maps and Directions
TEL: +44-207-850-0500 FAX: +44-207-850-0600

Book your room online individually on the dates required and at best available rates online. No group code is required.


Hilton Website

Heathrow is the closest transit and there is a Heathrow Express train that goes from the airport to the Paddington station which is where the Hilton is located.

Lunch and drinks including coffee, tea, and water will be provided daily. 

Question? Please contact us for more info or visit our FAQ page.

Seminar fee includes all materials, downloads, software access, training, refreshments and access to a recorded video of seminar:
$1,095 Faculty/Professional or
$945 Student/Post-Doc

Learning Objectives

This comprehensive 3-day statistics training institute on the fundamentals of Psychometrics will enable you to:

  • Apply a latent variable perspective to psychometrics
  • Examine how psychometrics fits into the scientific enterprise and educational policy
  • Identify construct validity as the “one ring to rule them all” and where other dimensions of validity fit in
  • Examine why Cronbach’s Alpha is biased (a recent psychometrics article was titled “Thanks Coefficient Alpha, we’ll take it from here”)
  • Understand why other reliability estimates (e.g., mean inter-item correlations, Coefficient H, Omega total) are preferred, and how to calculate and interpret them
  • Code, analyze, and interpret exploratory factor analyses (EFA)
  • Code, analyze, and interpret confirmatory factor analyses (CFA)
  • Synthesize the preceding ideas to understand the instrument development & validation process
  • Understand the difference between “true score” bias and item bias
  • Code, analyze, and interpret Multiple Indicator and Multiple Causes (MIMIC) models
  • Understand why Item Response Theory (IRT) is useful to assess ability & shorten scales
  • Code, analyze, and interpret 1PL, 2PL, 3PL IRT models
  • Use figures to communicate the psychometric properties of measures


Friday October 18, 2019
9:00-9:30 Welcome and introductions
9:30-10:30 A latent variable modeling perspective on psychometrics
10:30-10:45 Snack and refreshment break
10:45-12:30 Coefficient Alpha: Widely known, poorly understood
12:30-1:30 Lunch break
1:30-3:00 Construct validity: “One ring to rule them all”
3:00-3:15 Snack and refreshment break
3:15-5:00 Intro to MPlus code

Bringing latent variables into focus: Exploratory Factor Analyses (EFA)

Saturday October 19, 2019
9:00-10:45 Hypothesized factor structures: Confirmatory Factor Analyses (CFA)
10:45-11:00 Snack and refreshment break
11:00-12:30 The Instrument Development & Validation Process
12:30-1:30 Lunch break
1:30-3:00 Bias & Fairness in Psychometrics: Multiple Indicators and Multiple Causes (MIMIC) models
3:00-3:15 Snack and refreshment break


Review, integration & catch-up time

Individual Consultation

Sunday October 20, 2019
9:00-10:45 Introduction to Item Response Theory (IRT)
10:45-11:00 Snack and refreshment break
11:00-12:30 IRT: Discrimination (1PL), Difficulty (2PL) & Guessing (3PL) models
12:30-1:30 Lunch break
1:30-3:00 IRT: The Graded Response Model
3:00-3:15 Snack and refreshment break


Review, integration & catch-up time

Individual Consultation

Instructor: Matthew A. Diemer Ph.D.

Matthew Diemer is a Professor in the Combined Program in Education & Psychology (CPEP) and Educational Studies programs at the University of Michigan. Diemer harnesses advanced quantitative methods to examine how young people develop critical consciousness – the capacity to reflect on, negotiate, and challenge racial, ethnic, socioeconomic and other constraints in school, college, work, and civic/political institutions. His research is currently funded by the Spencer Foundation, William T Grant Foundation, Institute for Education Sciences, National Institute of Health, National Science Foundation, and the Corporation for National and Community Service.
Diemer teaches Psychometrics and Structural Equation Modeling courses and provides statistical consultation to the campus community at the University of Michigan. He has delivered invited lectures and workshops on these and other quantitative topics domestically and internationally. He also serves as the Statistical Consultant for the Psychology of Women Quarterly.

In 2019, the University of Michigan awarded Diemer the Provost’s Teaching Innovation Prize for “Advancing Diversity, Equity & Inclusion via Advanced Quantitative Courses.

Software and Computer Support

All statistical software used at Stats Camp will be available, free to participants, on our SMORS (statistical modeling on remote servers) system for the duration of camp. Participants need to bring a laptop computer with Wi-Fi capabilities. Students should have access to IBM SPSS, version 21.0 or higher and Mplus, version 7.1 or higher. All statistical software used at Stats Camp will be available, free to participants, on our SMORS (statistical modeling on remote servers) system for the duration of camp.

Seminar Prerequisites


  • Intermediate proficiency in basic statistical theory as would be gained in a 1st year graduate course.

Not required but advantageous:

  • Limited experience (e.g., graduate-level course) with classical measurement theory and concepts.

No level of proficiency beyond basic awareness is assumed for skills related to:

  • Advanced mathematical or statistical topics such as matrix algebra.

Seminar Files

Links to seminar files for those who enrolled in the seminar will be emailed on the first day of class. Please download these files onto your computer on the first day of the seminar. The files are password protected to respect the intellectual property rights of the instructors. By using your login information, you agree not to share your login information or the content protected by it.

Seminar Certificate

Upon completion of the seminar you may request an official Stats Camp print-ready PDF certificate.  Please contact us here to request a digital copy.

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Seminar Resources