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Factor Indeterminacy as Metrological Uncertainty: Implications for Advancing Psychological Measurement
Edward E Rigdon1, Jan-Michael Becker2, Marko Sarstedt3,4
1a Department of Marketing , Georgia State University.
Multivariate Behavioral Research
|March 5, 2019
Summary
Factor indeterminacy, a mathematical concept, is identified as a form of measurement uncertainty. Addressing this uncertainty is crucial for improving the validity and reliability of psychometric measurement.
Area of Science:
- Psychometrics
- Metrology
- Measurement Science
Background:
- Factor indeterminacy is a known mathematical concept, but it is largely overlooked in research.
- Measurement uncertainty is a critical aspect of physical sciences, encompassing random and systematic errors.
- Factor indeterminacy poses a significant threat to the validity of psychometric measurement by weakening the link between factors and conceptual variables.
Purpose of the Study:
- To establish factor indeterminacy as a component of measurement uncertainty.
- To highlight the importance of acknowledging and quantifying factor indeterminacy in psychometrics.
- To propose recommendations for improving psychological measurement by reducing this uncertainty.
Main Methods:
- Theoretical elaboration connecting factor indeterminacy to the concept of uncertainty in metrology.
- Analysis of the implications of factor indeterminacy for the validity of psychometric constructs.
- Development of recommendations based on the conceptualization of factor indeterminacy as uncertainty.
Main Results:
- Factor indeterminacy is equated with uncertainty in the context of measurement.
- The study demonstrates how factor indeterminacy compromises the integrity of psychometric measurement.
- Quantifying and addressing factor indeterminacy is shown to be essential for advancing measurement quality.
Conclusions:
- Factor indeterminacy should be recognized and treated as a form of measurement uncertainty.
- Reducing factor indeterminacy is key to enhancing the validity of psychological measurements.
- The research provides a framework and recommendations for managing this uncertainty in psychometrics.
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