Model selection for covariance structures analysis in nursing research.

Covariance structures analysis is often used in nursing research to appraise statistical models reflecting complex human health processes. The model selection approach in covariance structures analysis is designed to select the 'best' model from a specified set of theoretically defensible, competing...

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Publicado en:Western Journal of Nursing Research Vol. 20; no. 3; pp. 344 - 356
Autores principales: Henly SJ, Vermeersch PEH, Duckett LJ
Formato: research tables/charts Journal Article
Publicado: Sage Publications Inc. Jun98
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun98
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      pub: Sage Publications Inc.
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        atl: Model selection for covariance structures analysis in nursing research.
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          Henly SJ
          Vermeersch PEH
          Duckett LJ
        affil: Associate Professor, College of Nursing, University of North Dakota
      sug:
        subj:
          Research, Nursing
          Analysis of Covariance
          Models, Statistical
          Chi Square Test
          Multitrait-Multimethod
          Human
      ab: Covariance structures analysis is often used in nursing research to appraise statistical models reflecting complex human health processes. The model selection approach in covariance structures analysis is designed to select the 'best' model from a specified set of theoretically defensible, competing alternatives, all of which are viewed as approximations. Model selection criteria explicitly incorporate both model misfit in the population and sampling error to evaluate the set of models. The result is that interpretability of model parameters and goodness-of-fit are enhanced simultaneously. Relative merits of the model selection approach are identified in light of technical concerns, parsimony, and use of scientific theory in nursing.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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