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Showing posts with the label MANOVA

### MANCOVA

MANCOVA (Multivariate Analysis of Covariance). A statistical procedure for analyzing results when there are one or more independent variables , two or more dependent variables , and one or more covariates . Basic components of MANCOVA Independent or grouping Variable = 1 or more Dependent or criterion Variable = 2 or more Covariates = 1 or more Overall tests are used to determine significant effects or differences among the grouping variables. An F test indicates significance overall and for specific effects or relationships. A commonly reported measure of effect size is eta squared. A p value reveals the probability of a significant relationship-- one that is not due to chance factors. Applied Statistics Concepts for Counselors on  AMAZON  or  GOOGLE Creating Surveys on AMAZON    or   GOOGLE  Worldwide Links to Connections   Checkout My Website     www.suttong.com    See my Books      AMAZON             GOOGLE STORE   JOIN me on      FACEBOOK     Geoff W. Sutton          TWITTER

### MANOVA in Counseling & Behavioral Sciences

MANOVA MANOVA is the abbreviation for Multivariate Analysis of Variance . The M stands for multivariate and refers to the presence of more than one dependent variable. A MANOVA may have one or more independent variables and two or more dependent variables. For example, we could examine the effects of different presenters and different forgiveness programs on forgiveness and compassion. Studies with three to four independent variables and three to four dependent variables can be difficult to interpret because many interactions are possible. Independent or grouping Variable = 1 or more Dependent or criterion Variable = 2 or more Overall tests are used to determine significant effects or differences among the grouping variables. An  F  test indicates significance overall and for specific effects or relationships. A commonly reported measure of effect size is eta squared. A  p  value reveals the probability of a significant relationship-- one that is not due to chance factors. Read m