Reading focus
Syllabus: How Can We Compare Psychological Processes Across Cultures?
Connect configural, metric and scalar assumptions with the particular comparison being proposed. Keep partial invariance and fit criteria open to substantive interpretation.
Why you’re reading it. Give the earlier questions about meaning a precise measurement-model formulation.
A question to consider. Your responsibility scale has similar item–factor relationships across groups but different item intercepts. Which proposed comparisons need further justification, and what might you investigate about the items?
Why this reading
Using the same questions does not ensure comparable score meanings. This review explains why comparisons across groups or occasions require evidence about the relationship between a construct and its indicators.
Before you read
A factor loading connects an indicator to a modeled factor. An intercept represents its expected level when the factor is zero. Invariance asks whether specified measurement parameters can be treated as equal across groups or occasions.
Read for
- Distinguish configural, metric, scalar, and residual invariance by what each constrains.
- Connect each comparison of interest with the assumptions it needs.
- Notice disagreement about fit criteria and partial invariance rather than treating thresholds as universal guarantees.
Consider afterwards
- A programme changes how participants interpret one questionnaire item. How could that complicate a claim that its average score improvement represents psychological change?
Editorial context
This is a review of conventions and reporting at its publication date, centered on confirmatory factor analysis. It is not a timeless set of statistical cutoffs. Noninvariance calls for investigating which comparisons remain defensible; invariance within a model does not, by itself, establish fairness or complete construct validity.