caa a22 4500 44534394X CHVBK 20180317142823.0 cr unu---uuuuu 170323e20110401xx s 000 0 eng 10.1007/s00406-010-0151-9 doi (NATIONALLICENCE)springer-10.1007/s00406-010-0151-9 Considerations for analysis of source monitoring data when investigating hallucinations in schizophrenia research [Elektronische Daten] [Todd Woodward, Mahesh Menon] Self/other (i.e., internal/external) source monitoring is one of the leading paradigms for the study of hallucinations in schizophrenia. The cognitive processes that underlie hallucinations are theorized to transform self-generated (internal) cognitive events into other-generated (external) cognitive events. These proposed cognitive operations also appear to play a role in producing analogous types of errors in self/other source monitoring, namely a memory bias whereby recalled material that was self-generated is misremembered as other-generated, referred to as an externalization bias. Externalization biases are more frequent in groups of hallucinating schizophrenia patients than in other groups. One source of measurement error that is inherent in the study of the externalization bias is that, even for never-previously viewed items, there is a tendency to guess an external source under conditions of uncertainty. If such guessing takes place in response to self-generated but forgotten items, these guesses will be summed along with true externalization biases in the frequency count of externalizations, producing measurement error. Multinomial modeling is a statistical technique that has been used to estimate the influence of external-source guessing in order to separate it from true externalization bias estimates. However, a number of challenges related to model choice and model validation are involved, and these challenges may render multinomial modeling impractical. We instead recommend analysis of covariance (ANCOVA), or difference score methodology, as an appropriate method for partialling external-source guessing rates (external-source false positives) out of externalization bias rates. Springer-Verlag, 2010 Hallucinations nationallicence Schizophrenia nationallicence Source monitoring nationallicence Multinomial modeling nationallicence Analysis of covariance nationallicence Woodward Todd Department of Psychiatry, University of British Columbia, Vancouver, Canada aut Menon Mahesh Schizophrenia Program and PET Centre, Centre for Addiction & Mental Health, Toronto, Canada aut European Archives of Psychiatry and Clinical Neuroscience Springer-Verlag 261/3(2011-04-01), 157-164 0940-1334 261:3<157 2011 261 406 https://doi.org/10.1007/s00406-010-0151-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00406-010-0151-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Woodward Todd Department of Psychiatry, University of British Columbia, Vancouver, Canada aut NATIONALLICENCE 700 1- Menon Mahesh Schizophrenia Program and PET Centre, Centre for Addiction & Mental Health, Toronto, Canada aut NATIONALLICENCE 773 0- European Archives of Psychiatry and Clinical Neuroscience Springer-Verlag 261/3(2011-04-01), 157-164 0940-1334 261:3<157 2011 261 406 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer