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PDF pending restorationCalkins, Dick S. – 1974
The mathematical derivation of the statistics used for inference in some linear models assumes that the values of the independent variables are measured without error. This assumption is often disregarded when these models are utilized in research. This study is an investigation of the consequences of the violation of this assumption for one…
Descriptors: Analysis of Covariance, Computer Programs, Error of Measurement, Error Patterns
Download full textPorter, Andrew C. – 1971
In this paper problems caused by the existence of errors of measurement are identified for factor analysis, regression analysis, ANOVA, and ANCOVA. At least one detrimental effect is shown to exist for each type of analysis. When a researcher's interest is with infallible variables, he runs the risk of biased results from all of the procedures…
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Error of Measurement
Werts, Charles E.; And Others – 1972
A stochastic disturbance term appears to be essential for structural models in the social sciences. The analysis of such models is considered from the perspective of Joreskog's (1970) general model for the analysis of covariance structure. (For related document, see TM 002 301.) (Author)
Descriptors: Analysis of Covariance, Error of Measurement, Goodness of Fit, Linear Programing
