Commonality analysis: partitioning variance to facilitate better understanding of data.

In early intervention, researchers often are interested in interpretation aids that can help determine the relative importance of variables when multiple regression models are used, and that facilitate deeper insight into prediction dynamics. Commonality analysis is one approach for helping research...

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Publicado en:Journal of Early Intervention Vol. 28; no. 4; pp. 299 - 308
Autores principales: Zientek LR, Thompson B
Formato: equations & formulas tables/charts Journal Article
Publicado: Sage Publications Inc. Summer2006
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Summer2006
      vid: 28
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      pub: Sage Publications Inc.
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        atl: Commonality analysis: partitioning variance to facilitate better understanding of data.
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          Zientek LR
          Thompson B
        affil: Texas A&M University
      sug:
        subj:
          Models, Statistical Methods
          Multiple Regression Methods
          Analysis of Variance Methods
          Multivariate Analysis Methods
          Step-Wise Multiple Regression Methods
      ab: In early intervention, researchers often are interested in interpretation aids that can help determine the relative importance of variables when multiple regression models are used, and that facilitate deeper insight into prediction dynamics. Commonality analysis is one approach for helping researchers understand the contributions independent or predictor variables make in a given regression model. The purposes of the present paper are to (a) provide a general overview of multiple regression analysis and its application in early intervention research, (b) explain how to conduct a commonality analysis, and (c) illustrate how commonality analysis might be used as an interpretation aid in an early intervention research context.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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