The purpose of this analysis is to provide a practical approach to the assessment of reliability. In particular, we examine the impact of random measurement error upon the magnitude and interpretation of standardized regression coefficients (or path coefficients) and the specification of regression models. With the proper research the relationship between measured and true values can be inferred by using path coefficients. Such inferences allow assessments of the specification of statistical models. Several examples illustrate how researchers can be misled without knowledge of the impact of measurement error.
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Francis, W.L., Carmines, E.G. Making measurement errors and interpreting path coefficients: a practical perspective. Qual Quant 27, 19–30 (1993). https://doi.org/10.1007/BF01097008
- Regression Model
- Measurement Error
- Statistical Model
- Regression Coefficient
- Practical Approach