caa a22 4500 606241965 CHVBK 20210128101316.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s11336-014-9406-0 doi (NATIONALLICENCE)springer-10.1007/s11336-014-9406-0 Molenaar Dylan Psychological Methods, Department of Psychology, University of Amsterdam, Weesperplein 4, 1018XA, Amsterdam, The Netherlands aut Heteroscedastic Latent Trait Models for Dichotomous Data [Elektronische Daten] [Dylan Molenaar] Effort has been devoted to account for heteroscedasticity with respect to observed or latent moderator variables in item or test scores. For instance, in the multi-group generalized linear latent trait model, it could be tested whether the observed (polychoric) covariance matrix differs across the levels of an observed moderator variable. In the case that heteroscedasticity arises across the latent trait itself, existing models commonly distinguish between heteroscedastic residuals and a skewed trait distribution. These models have valuable applications in intelligence, personality and psychopathology research. However, existing approaches are only limited to continuous and polytomous data, while dichotomous data are common in intelligence and psychopathology research. Therefore, in present paper, a heteroscedastic latent trait model is presented for dichotomous data. The model is studied in a simulation study, and applied to data pertaining alcohol use and cognitive ability. The Psychometric Society, 2014 heteroscedasticity nationallicence latent trait models nationallicence item response theory nationallicence two-parameter model nationallicence non-normal latent variables nationallicence Psychometrika Springer US; http://www.springer-ny.com 80/3(2015-09-01), 625-644 0033-3123 80:3<625 2015 80 11336 https://doi.org/10.1007/s11336-014-9406-0 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/s11336-014-9406-0 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Molenaar Dylan Psychological Methods, Department of Psychology, University of Amsterdam, Weesperplein 4, 1018XA, Amsterdam, The Netherlands aut NATIONALLICENCE 773 0- Psychometrika Springer US; http://www.springer-ny.com 80/3(2015-09-01), 625-644 0033-3123 80:3<625 2015 80 11336