Measurement error and ANCOVA: Functional and structural relationship approaches.

Authors
Publication date 1987
Journal Psychometrika
Volume | Issue number 52 | 4
Pages (from-to) 521-538
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
Abstract Discusses a functional and structural relationship approach to analysis of covariance (ANCOVA) with a fallible covariate. Examples of both types of analysis are given for the simple 2-group design. Several cases are discussed and special attention is given to issues of model identifiability. An approximate statistical test based on the functional relationship approach is described. On the basis of Monte Carlo simulation results it is concluded that this testing procedure is to be preferred to the conventional F-test of the ANCOVA null hypothesis.
Document type Article
Published at https://doi.org/10.1007/BF02294817
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