Lecture 3 - why measurement Flashcards
Why do we need measurement in psychology?
We need a consensus on key constructs & definitions; we need objectivity; we must minimise subjective judgements.
What are we measuring?
- We measure the ATTRIBUTES of people, objects, & events.
What are these measurement rules?
- scaling: what scale will we use? (Cm, feet for height). How much of an attribute is present? (Low / high depression)
- classification; yes or no for sleeping patterns.
What is the issue with measurement?
- desirability
- positivity
- recall bias
When using statistical analysis, its possible that …
The statements made based on patterns of relationships can be untrue (its because of extraneous variables; longer studies can help with controlling for external factors; but it’s not always ideal because of time, resources, motivation).
(2) Psychological assessments
- Items form a scale & represent an agreed internal mental construct
These attributes measured should be related to the construct
Organisational commitment
- affective
- normative
- cognitive
Example for items on the scale
- positive & negative affect schedule (PANAS)
(3) Factor Analysis
To measure whether or not things are similar. If not similar, then we have an issue (the attribute is highly unrelated).
Spearman’s Factor Analysis
A combinations of theory & statistics based on how similar the questions are
Job satisfaction vs Organisational commitment
These two constructs are different and are analysed using two different sets of questions.
What are the Latent Factor?
What are the Optimal factors?
Intention to leave (related to Job Sat & Commit)
Job satisfaction (positive)
Intention to leave (negative)
* but both are still different areas - so measuring job satisfaction may not be the best construct to measure to see how many employees will remain in the organisation within a year).
(4) Reliability
Refers to the consistency of a measure
Types of reliability
- inter-rather reliability
- Test-retest reliability
- inter-method reliability
- internal consistency reliability