This intensive five-day training course is dedicated to providing participants with a comprehensive and practical understanding of Psychometrics and Measurement Theory. Psychometrics is the science behind designing, administering, and interpreting psychological and educational tests and scales. This course is crucial for anyone involved in developing surveys, assessments, and diagnostic tools, ensuring they are scientifically sound, reliable, and valid. Participants will gain the theoretical foundation of measurement science alongside the hands-on skills necessary to apply these principles using statistical software.
The curriculum is structured across 10 progressive modules, covering the core theories and advanced techniques of measurement. Key topics include Classical Test Theory (CTT), defining and assessing reliability and validity, advanced item analysis and scale construction, exploring Item Response Theory (IRT) as a modern alternative, and understanding and mitigating measurement bias (DIF). The course culminates in practical sessions focused on score reporting, standard setting, and using Factor Analysis for scale validation. Every module features a mandatory Practical session to ensure hands-on experience in executing psychometric analyses on real-world data.
Who should attend the training
• Psychometricians
• Data Scientists
• Assessment Developers
• Educational Researchers
• Human Resources Specialists
Objectives of the training
• Personal benefits
Master the fundamental principles of Classical Test Theory (CTT) and Item Response Theory (IRT)
Confidently assess the reliability and various forms of validity of any measurement instrument
Design and refine high-quality survey items and psychological scales
Apply Factor Analysis and IRT models for rigorous scale validation and development
Effectively communicate psychometric results and interpret test scores
• Organizational benefits
Ensure the quality and defensibility of all organizational assessments, surveys, and tests
Reduce measurement error, leading to more accurate data-driven decisions
Implement evidence-based standard setting procedures for certification and high-stakes testing
Improve internal capacity for developing and validating proprietary assessment tools
Mitigate legal and ethical risks associated with measurement bias and unfair testing
Course Duration: 5 days
Training fee: USD 1500
Training methodology
• Expert-led lectures on measurement theory and statistical models
• Hands-on laboratory sessions using statistical software for psychometric analysis
• Case studies focusing on real-world scale development and validation projects
• Collaborative workshops on item writing and questionnaire design
Trainer Experience
Our trainers are seasoned psychometricians and measurement specialists with doctoral degrees and extensive experience in both academia and high-stakes testing organizations. They possess deep expertise in CTT, IRT, and advanced multivariate techniques, focusing on translating complex statistical concepts into practical, deployable skills for measurement professionals.
Quality Statement
We are committed to delivering a high-quality, technically rigorous training program that provides deep conceptual understanding alongside practical application skills in psychometrics. Our curriculum ensures participants can immediately and confidently develop, validate, and interpret robust measurement tools.
Tailor-made courses
This course can be customized to focus on specific measurement contexts (e.g., educational testing, health outcomes, industrial/organizational assessments), or to delve deeper into advanced models such as Multilevel IRT or specialized forms of Factor Analysis. We offer flexible delivery options, including on-site, virtual, and blended learning solutions to meet your organizational needs.
• Introduction to measurement theory and the role of psychometrics
• Defining constructs, operationalization, and psychological scaling
• Levels of measurement (Nominal, Ordinal, Interval, Ratio) and their implications
• Overview of different scaling methods (Likert, Semantic Differential, Thurstone)
• Ethical and legal considerations in psychological testing and measurement
• Practical session: Developing a conceptual framework and creating initial items for a new psychological construct scale
• The fundamental CTT model: observed score, true score, and error
• Defining and quantifying measurement error
• Methods for estimating reliability: Test-retest, parallel forms, internal consistency
• Calculating and interpreting Cronbach's Alpha and the Standard Error of Measurement (SEM)
• The Spearman-Brown prophecy formula and its application
• Practical session: Calculating and interpreting multiple reliability estimates for an existing multi-item scale using statistical software
• Comprehensive definition of validity as a unitary concept (Messick's framework)
• Types of validity evidence: Content, Criterion (Predictive/Concurrent), and Construct Validity
• Establishing evidence for Content Validity (Expert review and Item-Objective Congruence)
• Using correlation and regression to establish Criterion Validity
• The role of the Multitrait-Multimethod (MTMM) matrix in assessing Construct Validity
• Practical session: Designing a validity study, collecting data, and calculating correlational evidence for a scale's criterion validity
• Purpose and process of rigorous item analysis
• Item difficulty, item discrimination indices (p and D)
• Analyzing distractor effectiveness for multiple-choice items
• Calculating the Corrected Item-Total Correlation and its use in scale refinement
• Guidelines for final scale construction and short form development
• Practical session: Performing a full item analysis on a pilot dataset, identifying poor items, and documenting scale refinement decisions
• The role of Factor Analysis (FA) in providing evidence for Construct Validity
• Distinguishing between Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA)
• EFA steps: extraction methods (PCA vs. Principal Axis Factoring), rotation techniques
• Interpreting factor loadings and cross-loadings, and naming latent factors
• Basic introduction to CFA fit indices and model specification (overview)
• Practical session: Performing an Exploratory Factor Analysis (EFA) to confirm the underlying factor structure of a new scale
• CTT limitations and the advantages of Item Response Theory (IRT)
• Key IRT models: One-Parameter (Rasch/1PL), Two-Parameter (2PL), and Three-Parameter (3PL) models
• Interpreting item parameters: difficulty (b), discrimination (a), and guessing (c)
• The Item Characteristic Curve (ICC) and Test Information Function (TIF)
• Using the TIF for targeted test design (e.g., Computer Adaptive Testing overview)
• Practical session: Fitting a 1PL or 2PL IRT model to a dataset and interpreting the resulting item characteristic curves
• Defining test fairness, measurement bias, and the concept of Differential Item Functioning (DIF)
• DIF detection methods: Mantel-Haenszel, Lord's Chi-Square, and logistic regression methods
• Interpreting DIF statistics and classifying items as uniform or non-uniform DIF
• Strategies for addressing and mitigating DIF in test construction
• Introduction to measurement invariance for cross-cultural research
• Practical session: Using a DIF detection method to screen items for potential bias across two different demographic groups
• Methods for converting raw scores to scale scores (e.g., z-scores, T-scores, percentiles)
• Introduction to criterion-referenced score interpretation and cut scores
• Common standard setting methods: Angoff, Bookmark, and contrasting groups
• Documenting and justifying standard setting decisions
• Reporting and interpreting proficiency levels based on cut scores
• Practical session: Applying the Angoff method (simulated expert judgments) to set a pass/fail cut score for an exam
• Introduction to Generalizability Theory (G-Theory) for multifaceted reliability
• Foundations of Latent Class Analysis (LCA) for identifying unobserved subgroups
• Using Multitrait-Multimethod (MTMM) for advanced validity studies
• Advanced scaling techniques for non-cognitive attributes (e.g., ipsative measures)
• Practical issues in longitudinal measurement and change assessment
• Practical session: Interpreting an analysis of a simulated G-Theory study to identify major sources of measurement error
• Developing a full psychometric report for internal and external stakeholders
• Documentation requirements for high-stakes assessment development
• Selecting and evaluating appropriate psychometric software packages
• Establishing an ongoing quality assurance (QA) and maintenance plan for scales
• Ethics and professional standards in the reporting and use of psychometric data
• Practical session: Developing a structured psychometric summary report based on the results generated across the entire course
Requirements:
· Participants should be reasonably proficient in English.
· Applicants must live up to Armstrong Global Institute admission criteria.
Terms and Conditions
1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free
2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.
3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.
4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.
5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.
Booking for Training
Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.
Or call us on +254720272325 / +254725012095 / +254724452588
Payment Options
We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:
1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.
2. Invoice: We can send a bill directly to you or your company.
3. Deposit directly into Bank Account (Account details provided upon request)
Cancellation Policy
1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
2. Participants may cancel attendance 14 days or more prior to the training commencement date.
3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.
Tailor Made Courses
This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com
Accommodation and Airport Transfer
Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588
| Course Dates | Venue | Fees | Enroll |
|---|---|---|---|
| May 18 - May 22 2026 | Zoom | $1,300 |
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| Aug 03 - Aug 07 2026 | Nairobi | $1,500 |
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| Jun 01 - Jun 05 2026 | Nakuru | $1,500 |
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| Jul 20 - Jul 24 2026 | Naivasha | $1,500 |
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| Jul 20 - Jul 24 2026 | Nanyuki | $1,500 |
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| Aug 10 - Aug 14 2026 | Mombasa | $1,500 |
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| Jul 13 - Jul 17 2026 | Kisumu | $1,500 |
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| Feb 23 - Feb 27 2026 | Kigali | $2,500 |
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| Jun 01 - Jun 05 2026 | Kampala | $2,500 |
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| May 04 - May 08 2026 | Arusha | $2,500 |
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| May 18 - May 22 2026 | Johannesburg | $4,500 |
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| May 25 - May 29 2026 | Cape Town | $4,500 |
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| Jun 01 - Jun 05 2026 | Pretoria | $4,500 |
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| Apr 13 - Apr 17 2026 | Cairo | $4,500 |
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| Jun 08 - Jun 12 2026 | Accra | $4,500 |
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| May 04 - May 08 2026 | Addis Ababa | $4,500 |
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| Jun 01 - Jun 05 2026 | Dubai | $5,000 |
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| May 11 - May 15 2026 | Doha | $5,000 |
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| Jun 08 - Jun 12 2026 | London | $6,500 |
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| Jun 01 - Jun 05 2026 | Paris | $6,500 |
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| Jun 08 - Jun 12 2026 | Geneva | $6,500 |
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| Mar 02 - Mar 06 2026 | Zurich | $6,500 |
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| May 18 - May 22 2026 | Brussels | $6,500 |
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| Sep 07 - Sep 11 2026 | New York | $6,950 |
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| Aug 03 - Aug 07 2026 | Los Angeles | $6,950 |
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| Aug 17 - Aug 21 2026 | Toronto | $7,000 |
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| Jul 06 - Jul 10 2026 | Vancouver | $7,000 |
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Armstrong Global Institute
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