Difference between revisions of "MANCOVA"

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'''Covariate:'''  Student age
 
'''Covariate:'''  Student age
  
'''Contributed by: Thomas Fox''' ''Italic text''
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''contributed by  Thomas Fox''

Latest revision as of 15:13, 10 December 2019

A MANCOVA (Multivariate Analysis of Covariance) is similar to that of a MANOVA (Multivariate Analysis of Variance), but it allows the research to control for covariates (Datallo, 2013). A covariate is an IV, or independent variable, that is not controlled for by the research but could be impacting the DV (dependent variable). Using a MANVOCA can help reduce systematic and in-group error—especially if the sample is not random. An example of when to use a MANCOVA to analysis data follows.

One-Way MANCOVA Question:

Does the score achieved in the standardized math, reading, and writing test depend on the outcome of the final exam, when we control for the age of the student? DVs: Score achieved on the standardized math, reading, and writing tests IV: Final exam outcome (pass or fail)

Covariate: Student age

contributed by Thomas Fox