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Multivariate Analysis of Variance (MANOVA)

In: Encyclopedia of Research Design
Edited by: Neil J. Salkind
Subject:Research Design
Keywords:dependent variables; multiple analysis of variance

Multivariate analysis of variance (MANOVA) designs are appropriate when multiple dependent variables are included in the analysis. The dependent variables should represent continuous measures (i.e., interval or ratio data). Dependent variables should be moderately correlated. If there is ...

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  Salkind, N. J. (2010). Multivariate analysis of variance (manova). In Encyclopedia of research design (Vol. 1, pp. 858-862). SAGE Publications, Inc., https://dx.doi.org/10.4135/9781412961288.n257
  
  Salkind, Neil J. "Multivariate Analysis of Variance (MANOVA)." In Encyclopedia of Research Design, edited by Salkind, Neil J., 858-62. Thousand Oaks, CA: SAGE Publications, Inc., 2010. https://dx.doi.org/10.4135/9781412961288.n257.
  
  Salkind, N. J. 2010. Multivariate Analysis of Variance (MANOVA). In: Neil J. Salkind Editor, 2010. Encyclopedia of Research Design, Thousand Oaks, CA: SAGE Publications, Inc. pp. 858-862 Available at: <https://dx.doi.org/10.4135/9781412961288.n257> [Accessed 26 May 2022].
  
  Salkind, Neil J. "Multivariate Analysis of Variance (MANOVA)." Encyclopedia of Research Design. Edited by Vol. 1. Thousand Oaks: SAGE Publications, Inc., 2010, pp. 858-62. SAGE Knowledge. 26 May 2022, doi: https://dx.doi.org/10.4135/9781412961288.n257.
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