caa a22 4500 606242015 CHVBK 20210128101316.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s11336-014-9415-z doi (NATIONALLICENCE)springer-10.1007/s11336-014-9415-z Predictive Inference Using Latent Variables with Covariates [Elektronische Daten] [Lynne Schofield, Brian Junker, Lowell Taylor, Dan Black] Plausible values (PVs) are a standard multiple imputation tool for analysis of large education survey data, which measures latent proficiency variables. When latent proficiency is the dependent variable, we reconsider the standard institutionally generated PV methodology and find it applies with greater generality than shown previously. When latent proficiency is an independent variable, we show that the standard institutional PV methodology produces biased inference because the institutional conditioning model places restrictions on the form of the secondary analysts' model. We offer an alternative approach that avoids these biases based on the mixed effects structural equations model of Schofield (Modeling measurement error when using cognitive test scores in social science research. Doctoral dissertation. Department of Statistics and Heinz College of Public Policy. Pittsburgh, PA: Carnegie Mellon University, 2008). The Psychometric Society, 2014 latent variable analysis nationallicence NAEP nationallicence plausible value methodology nationallicence marginal estimation procedures nationallicence Schofield Lynne Department of Mathematics and Statistics, Swarthmore College, 500 College Avenue, 19081, Swarthmore, PA, USA aut Junker Brian Department of Statistics, Carnegie Mellon University, Pittsburgh, PA, USA aut Taylor Lowell Heinz College, Carnegie Mellon University, Pittsburgh, PA, USA aut Black Dan Harris School, University of Chicago, Chicago, IL, USA aut Psychometrika Springer US; http://www.springer-ny.com 80/3(2015-09-01), 727-747 0033-3123 80:3<727 2015 80 11336 https://doi.org/10.1007/s11336-014-9415-z text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11336-014-9415-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Schofield Lynne Department of Mathematics and Statistics, Swarthmore College, 500 College Avenue, 19081, Swarthmore, PA, USA aut NATIONALLICENCE 700 1- Junker Brian Department of Statistics, Carnegie Mellon University, Pittsburgh, PA, USA aut NATIONALLICENCE 700 1- Taylor Lowell Heinz College, Carnegie Mellon University, Pittsburgh, PA, USA aut NATIONALLICENCE 700 1- Black Dan Harris School, University of Chicago, Chicago, IL, USA aut NATIONALLICENCE 773 0- Psychometrika Springer US; http://www.springer-ny.com 80/3(2015-09-01), 727-747 0033-3123 80:3<727 2015 80 11336