55 research outputs found

    The Factor Analysis of Ipsative Measures

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    This article deals with the problem of analyzing sets of ipsative variables using the common factor model. We demonstrate that the usual assumptions of the common factor model, especially the assumption of uncorrelated disturbances, are not appropriate for sets of ipsative variables. We develop a common factor model that takes into account the ipsative properties of such data and show how this model can be applied to any set of ipsative measures using the methods of confirmatory factor analysis. We then suggest that the application of this model may be useful in modeling the latent content of sets ofrankings and other measures that have the ipsative property as a result of the measurement procedure. Finally, we apply the model to Kohn's measures of parental values, using sample data from the General Social Surveys.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/68736/2/10.1177_004912418000900206.pd

    Studies into the mechanism of measles-associated immune suppression during a measles outbreak in the Netherlands

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    Measles causes a transient immune suppression, leading to increased susceptibility to opportunistic infections. In experimentally infected non-human primates (NHPs) measles virus (MV) infects and depletes pre-existing memory lymphocytes, causing immune amnesia. A measles outbreak in the Dutch Orthodox Prote

    Rooms, relatives and relationships Household density and mental health

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    SIGLEAvailable from British Library Document Supply Centre- DSC:9349.227(ESRC-RCMC-WP--15) / BLDSC - British Library Document Supply CentreGBUnited Kingdo

    Economic necessity or self-actualization? Attitudes towards women's labour-force participation in the East and West

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    SIGLEAvailable from British Library Document Supply Centre- DSC:6217.2465(ESRC-RCMSC-OP--9) / BLDSC - British Library Document Supply CentreGBUnited Kingdo

    Order Effects in Batteries of Questions

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    question order effects, survey research, questionnaire, Australia, survey design, emergency department, context effects,
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