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Module Specifications.

Current Academic Year 2024 - 2025

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Date posted: September 2024

Module Title Advanced Psychometric Profiling: Innovations in online human data mining
Module Code PSY1101 (ITS) / PSY1101 (Banner)
Faculty Science & Health School Psychology
Module Co-ordinator-
Module Teachers-
NFQ level 8 Credit Rating 5
Pre-requisite Not Available
Co-requisite Not Available
Compatibles Not Available
Incompatibles Not Available
Repeat examination
Description

This module will provide students with advanced knowledge on modern psychometric methods. Students will learn about the latest developments in psychometric methods and regulation, latest techniques for psychometric assessment online and the practical and ethical implications of leveraging big data in the context of psychometric profiling.

Learning Outcomes

1. Critically evaluate a range of theories and methods used in measuring behaviour, personality, intelligence and individual differences.
2. Discuss advanced psychometric principles and theory
3. Discuss new methods of digital psychometric measurement
4. Discuss practical and ethical implications of psychometric profiling and the use of big data in applied settings



Workload Full-time hours per semester
Type Hours Description
Lecture11Combination of synchronous and asynchronous content
Laboratory18Challenge Based Approach; Collaborative Skills; Application Skills; Interpretation Skills
Directed learning12Guided practical preparation activities and online activities
Assignment Completion32Preparation, writing of practical (background, method, results and discussion)
Independent Study52Self directed reading
Total Workload: 125

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

The history and evolution of psychometric testing

Psychometric principles (reliability, validity, standardisation, equivalence)

Psychometric measurement and classical test theory

Item response theory and computer adaptive testing

Digital footprints and psychometrics

Artificial intelligence and psychometrics

Big data and data profiling

Personality assessment and understanding behaviour using big data, sensing methods and machine learning

Applying psychometric principles to algorithm-based, sensed behavioural and big data applications

Professional, ethical, social/societal and practical implications

Assessment Breakdown
Continuous Assessment100% Examination Weight0%
Course Work Breakdown
TypeDescription% of totalAssessment Date
Report(s)Laboratory Report50%n/a
Reassessment Requirement Type
Resit arrangements are explained by the following categories:
Resit category 1: A resit is available for both* components of the module.
Resit category 2: No resit is available for a 100% continuous assessment module.
Resit category 3: No resit is available for the continuous assessment component where there is a continuous assessment and examination element.
* ‘Both’ is used in the context of the module having a Continuous Assessment/Examination split; where the module is 100% continuous assessment, there will also be a resit of the assessment
This module is category 1
Indicative Reading List

  • John Rust, Michal Kosinski, David Stillwell: 2020, Modern Psychometrics, Routledge, 9781138638655
  • Coaley, K.: 2014, An Introduction to Psychological Assessment and Measurement, Sage, London,
  • Cohen, R. J., & Werdlik, M. E.: 2017, Psychological Testing and Assessment, 9th, McGraw-Hill, Maidenhead.,
  • Cooper, C.: 2012, Intelligence and Abilities, Taylor & Francis Group, Abingdon, 978-0415188692
  • Furr, R. M., & Bacharach, V. R.: 2018, Psychometrics: An Introduction, 3rd, Sage, Los Angelos,
  • Goldfinger, K.: 2019, Psychological testing in everyday life: history, science, and practice, Sage, Los Angelos,
  • Groth-Marnat, G. Wright, A.J.: 2016, Handbook of psychological assessment, 6th ed., John Wiley and Sons, New Jersey, USA,
  • Lund, N.: 2010, Intelligence and Learning, Palgrave Macmillan, Basingstoke, 978-0230249448
  • Miller LA, Lovler RL: 2019, Foundations of Psychological Testing: A Practical Approach, 6th, Sage Publications,
Other Resources

None

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