Survey research and design in psychology/Lectures/Psychometric instrument development

Lecture 6: Psychometric instrument development

Resource type: this resource contains a lecture or lecture notes.

This is the sixth lecture for the Survey research and design in psychology unit of study.

Outline

This lecture recaps the previous lecture on exploratory factor analysis, and introduces psychometrics and (fuzzy) concepts and their measurement, including (operationalisation), reliability (particularly internal consistency of multi-item measures), validity and the creation of composite scores.

This lecture is accompanied by a computer-lab based tutorial.

Readings

1. Bryman, A. & Cramer, D. (1997). Concepts and their measurement (Ch. 4). In Quantitative data analysis with SPSS for Windows: A guide for social scientists (pp. 53-68). Routledge. UCLearn reading list (Psychometric instrument development)
2. DeCoster, J. (2000). Scale construction notes.
3. Howitt, D. & Cramer, D. (2005). Reliability and validity: Evaluating the value of tests and measures (Ch. 13). In Introduction to research methods in psychology (pp. 218-231). Harlow, Essex: Pearson. UCLearn reading list (Psychometric instrument development)
4. Howitt and Cramer (2014a). Chapter 37: Reliability in scales and measurement: Consistency and agreement (pp. 515-528). UCLearn reading list (Psychometric instrument development)
5. Wikiversity:
   • Composite scores
   • Measurement error
   • Reliability and validity

Handouts

• Lecture slides (Google Slides)
• 2018 handouts:
  • Download 6 slides to a page:
  • Download 3 slides to a page:

See also

• Exploratory factor analysis (Previous lecture)
• Multiple linear regression I (Next lecture)
• Psychometrics (Tutorial)
• Measurement error
• Reliability and validity
• Sampling error (Wikipedia)
• Non-sampling error (Wikipedia)