A method for testing group differences of scale validity in multiple population studies.
A method for testing equality in validity of multi-component measuring instruments across populations is outlined. The approach is developed within the framework of covariance structure modelling and complements earlier research on examining group differences in scale reliability. The procedure is particularly useful for purposes of ascertaining comparability of validity when constructing and developing measuring instruments. The method also provides ranges of plausible values for differences in composite validity across several populations and allows one to evaluate group discrepancies in validity of behavioural scales. The approach is illustrated using data from a cognitive intervention study.
Raykov
Tenko
T
Department of Psychology, Fordham University, Bronx, NY 10458, USA. raykov@fordham.edu
D000368:Aged; D000704:Analysis of Variance; D006801:Humans; D007361:Intelligence Tests / Q000706:statistics & numerical data; D008875:Middle Aged; D015233:Models, Statistical; D017063:Outcome Assessment, Health Care / Q000706:statistics & numerical data; D011581:Psychological Tests / Q000706:statistics & numerical data*; D011594:Psychometrics / Q000706:statistics & numerical data*; D012073:Remedial Teaching / Q000706:statistics & numerical data; D015203:Reproducibility of Results; D012933:Social Identification