British Journal of Mathematical and Statistical Psychology · 1993 · 14 citations · 0 references
Social SciencesEducational AssessmentEducational MeasurementItem Response TheoryMeasurement InvariancePsychometricsFactor AnalysisLatent Trait ModelingLatent Variable ModelingSelection BiasStructural Equation ModelingTest ValidityFactor Score EstimationIgnorable MissingnessLatent Trait MeasurementMissing Data Selection ModelsPredictive ValiditySelection Bias In TestingSelectivity
Estimators of the predictive validity of a multifactorial test are considered. These estimators take into account the selectivity of the sample of those who have observations on the criterion measure. It is pointed out that the selectivity problem can be viewed as a missing data situation. The relationships between the classic Pearson‐Lawley adjustment, regression based on factor scores, and maximum‐likelihood estimation under ignorable missingness are described. The estimators are compared in a study of artificial population data.