Latest Module Specifications
Current Academic Year 2025 - 2026
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Description To introduce the student to psychological measurement and assessment and to the principles and procedures used to estimate and evaluate the attributes of psychological tests. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Learning Outcomes 1. Discuss the principles of psychological measurement and psychometrics 2. Apply these principles to the development of a reliable and valid measure of a psychological construct 3. Discuss the psychometric adequacy of a psychological measure. 4. Discuss the ethical and professional issues in psychological assessment 5. Discuss emerging approaches to measurement and assessment. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Indicative Content and Learning Activities
Importance of psychological measurement, psychometrics and assessment Concepts in psychological measurement Constructs, measurement theory, levels of measurement, scaling, digital phenotyping, datafication of behaviour, data analytics Classical test theory Reliability: Types of reliability – internal consistency, test-retest, inter-rater reliability Validity: Types of validity – face, content, construct, convergent and discriminant validity Test design: Basic issues, measuring psychological constructs, types of psychological tests Bias: Response bias and test bias Measuring intelligence and personality Introduction to Item Response Theory and Rasch models Measurement and assessment innovation using big data, sensing methods, machine learning and algorithm based approaches Ethical, societal and professional issues | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Indicative Reading List Books:
Articles:
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Other Resources None | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||