Measurement Invariance Testing (MGCFA)
HR & WorkReliability: method-level4 sample items
About this scale
A multi-group confirmatory-factor-analysis approach to test whether a measure functions equivalently across groups (e.g., countries, languages, gender). Tests configural, metric, scalar, and strict invariance.
Sample item(s)
“Configural model: same factor structure across groups”
“Metric model: same loadings”
“Scalar model: same intercepts”
“Strict model: same residuals”
Reliability
Reported internal consistency: method-level. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Standard MGCFA framework for cross-group comparisons.
Source & citation
Vandenberg, R. J., & Lance, C. E. (2000): A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, Vol. 3, No. 1, pp. 4–70.
Source. Scale details are summarised from the publication cited above. Always consult the original source for the full item set, scoring, and permission to use.
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