APSY617-20S2 (C) Semester Two 2020

Industrial and Organisational Psychology Measurement Issues

15 points

Start Date: Monday, 13 July 2020
End Date: Sunday, 8 November 2020
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Friday, 24 July 2020
  • Without academic penalty (including no fee refund): Friday, 25 September 2020


The objective of this course is to introduce and expand on measurement issues relevant within the field of Industrial and Organisational Psychology. Particular emphasis is placed on scale development, reliability analysis, validity assessment techniques, common method variance Issues, measurement bias issues, design issues, classical test theory. Critical thinking, relation of theory to practice, as well as reflection, both oral and written, will be strongly emphasized.

The purpose of this course is to familiarize students with classical and modern measurement theories, and with the application of these theories to measurement development, data interpretation, and competent decision-making for Recruitment and Selection, Performance Evaluation, and Employee Development practice.

Learning Outcomes

After completion of the course the students should be able to demonstrate:
1.  Knowledge of the main measurement theories and different types of validity relevant to I/O Psychology, knowledge of reliability of measures/tests, why it is important, and what factors affect it, as well as the relation between a research question, questionnaire construction, and statistical analysis.
2.  Ability to critically evaluate the quality of a measure/test published in journals/case reports/media, as well as choose the appropriate measure to assess a particular phenomenon.
3.  Ability to construct multiple indicator measurement scales for psychological constructs.
4.  Ability to statistically evaluate measurement properties of questionnaires based on latent variables with multiple indicators (e.g., by using exploratory factor analysis and reliability estimates).
5.  Skills to discuss measurement properties and reflect on benefits and drawbacks of scales.

University Graduate Attributes

This course will provide students with an opportunity to develop the Graduate Attributes specified below:

Critically competent in a core academic discipline of their award

Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.

Employable, innovative and enterprising

Students will develop key skills and attributes sought by employers that can be used in a range of applications.

Engaged with the community

Students will have observed and understood a culture within a community by reflecting on their own performance and experiences within that community.


Subject to approval of the Head of Department

Course Coordinator

Katharina Naswall

Textbooks / Resources

Required Texts

DeVellis, R.F; Scale development: Theory and applications ; 4th Ed; Thousand Oaks, CA: Sage, 2017.

Recommended Reading

Fabrigar, Leandre R. , Wegener, Duane Theodore; Exploratory factor analysis ; Oxford University Press, 2012.

Haig, Brian D.,1945-; The philosophy of quantitative methods :understanding statistics ; Oxford University Press, 2018.

Taylor, C.S; Validity and validation ; Oxford University Press, 2013.

Course links

Library portal

Indicative Fees

Domestic fee $1,022.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

Limited Entry Course

Maximum enrolment is 30

For further information see School of Psychology, Speech and Hearing on the department and colleges page .

All APSY617 Occurrences

  • APSY617-20S2 (C) Semester Two 2020