APSY617-23S1 (C) Semester One 2023

Industrial and Organisational Psychology Measurement Issues

15 points

Start Date: Monday, 20 February 2023
End Date: Sunday, 25 June 2023
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 5 March 2023
  • Without academic penalty (including no fee refund): Sunday, 14 May 2023


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.

A variety of assessment methods are available for use in research and in practice, such as questionnaires, interviews, and field studies. The objective of this course is to introduce and expand on measurement issues relevant within the field of organisational psychology, with a special focus on survey methods and measurement design. We will cover topics like scale development and related concepts, such as reliability analysis, validity assessment techniques, as well as other concepts relevant to conducting and interpreting survey-based research common method variance issues, measurement bias issues, design issues, classical test theory.

Learning Outcomes

The objectives of the course are to:

1. Demonstrate 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. Critically evaluate the quality of a measure/test published in journals/case reports/media, and choose the appropriate measure to assess a particular phenomenon.
3. Construct multiple indicator measurement scales for psychological constructs.
4. Statistically evaluate measurement properties of scales designed to measure latent variables with multiple indicators (e.g., by using exploratory factor analysis and reliability estimates).
5. Discuss measurement properties and reflect on benefits and drawbacks of scales.


Subject to approval of the Head of Department

Timetable 2023

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 10:00 - 12:00 Psychology - Sociology 437
20 Feb - 2 Apr
24 Apr - 4 Jun

Course Coordinator

Katharina Naswall


Assessment Due Date Percentage 
Construct definition and Item construction 20%
Course-related meme (in class discussion) 10%
4 Quizzes 20%
Scale Development Report 25%
Final Exam 25%

Textbooks / Resources

Required Texts

DeVellis, R.F; Scale development: Theory and applications ; 4th; Thousand Oaks, CA: Sage, 2017 (or DeVellis, R.F. & Thorpe, C.T (2022). Scale development: Theory and applications. 5th ed. Thousand Oaks, CA: Sage).

Recommended Reading

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

Shultz, K.S. & Whitney, D.J; Measurement theory in action ; Thousand Oaks, CA: Sage, 2005.

Taylor, C., S; Validity and Validation ; Oxford, 2013.

Indicative Fees

Domestic fee $1,079.00

* 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 departments and faculties page .

All APSY617 Occurrences

  • APSY617-23S1 (C) Semester One 2023