On the misuse of manifest variables in the detection of measurement bias
From MaRDI portal
Publication:1205777
DOI10.1007/BF02294510zbMath0779.62104OpenAlexW2150234586MaRDI QIDQ1205777
William Meredith, Roger E. Millsap
Publication date: 1 April 1993
Published in: Psychometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf02294510
reliabilityexponential familystochastic orderingmeasurement biasmeasurement invariancedifferential item functioningBayes sufficiencylocal independencebias detection proceduresinvariance of the conditional distributionlatent, unobserved variablemanifest variableRasch model assumptions
Related Items
Understanding non-linear modeling of measurement invariance in heterogeneous populations, An autoregressive growth model for longitudinal item analysis, Measurement invariance, factor analysis and factorial invariance, Factors causing occurrence of artificial dif: A simulation study for dichotomous data, Tail-measurability in monotone latent variable models, Extending exploratory diagnostic classification models: Inferring the effect of covariates, An inequality for correlations in unidimensional monotone latent variable models for binary variables, An application of the LC-LSTM framework to the self-esteem instability case, Fitting and testing conditional multinormal partial credit models, Constant latent odds-ratios models and the Mantel-Haenszel null hypothesis, Invariance in measurement and prediction revisited, A model-based standardization approach that separates true bias/DIF from group ability differences and detects test bias/DTF as well as item bias/DIF, A statistical test for differential item pair functioning, Bayesian Structural Equations Modeling for Ordinal Response Data with Missing Responses and Missing Covariates, Assessing growth in a diagnostic classification model framework
Cites Work
