Survey research and design in psychology/Lectures/Psychometric instrument development
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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.
This page is complete for 2018. |
Outline
[edit | edit source]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
[edit | edit source]- 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)
- DeCoster, J. (2000). Scale construction notes.
- 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)
- Howitt and Cramer (2014a). Chapter 37: Reliability in scales and measurement: Consistency and agreement (pp. 515-528). UCLearn reading list (Psychometric instrument development)
- Wikiversity:
Handouts
[edit | edit source]- Lecture slides (Google Slides)
- 2018 handouts:
See also
[edit | edit source]- 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)