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?:abstract
  • Although the distinction between traits and states is as old as thinking about human behavior and public opinion research has always been interested in studying the effects of specific events, a wide range of variables are understood as stable dispositions. Latent state–trait (LST) theory (LSTT) considers the fact that measurement does not take place in a situational vacuum. LSTT decomposes any observed variable into a latent state component and a measurement error component, and any latent state into a latent trait component and a latent state residual representing situational influence. Moreover, precise estimates of reliability are available. After introducing LSTT, we apply LST models to panel data on political efficacy from 2009 German Longitudinal Election Study. Our findings corroborate the notion that internal efficacy is a rather traitlike disposition and external efficacy is significantly due to situational and/or interactional influences (xsd:string)
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  • (GLES) (xsd:string)
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  • GLES-Bibliography (xsd:string)
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  • 3. Fassung, März 2014 (xsd:gyear)
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  • 2013 (xsd:gyear)
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  • 2013 (xsd:gyear)
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  • Measuring traits and states in public opinion research: A latent state–trait analysis of political efficacy (xsd:string)
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  • inproceedings (xsd:string)
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  • 63. Annual Conference of the International Communication Association (ICA) (xsd:string)
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  • Bibsonomy (xsd:string)
  • In 63. Annual Conference of the International Communication Association (ICA), 2013 (xsd:string)
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  • 17.06.-21.06.2013 (xsd:gyear)
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  • German Longitudinal Election Study (GLES) (xsd:string)
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  • 2013 (xsd:string)
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  • GLES (xsd:string)
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