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Examining Temporal Stability of Scale Validity in Longitudinal Studies
Abstract:
A method for examining invariance in validity of multiple-component instruments in repeated measure designs is outlined. The approach is developed within the framework of covariance structure modeling and is applicable for purposes of ascertaining temporal stability in scale validity. In addition, the procedure provides a range of plausible values in a population under investigation for the change in composite validity across longitudinal assessment occasions. The proposed method can also be used to examine possible sources of lack of validity invariance, and is illustrated with a pair of examples.
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The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
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