Extended data:
A summary of SPSS variance analysis
1, from the number of independent variables and dependent variables, if there is only one independent variable and one dependent variable, then we adopt "one-way analysis of variance"; If there are multiple independent variables and a dependent variable, then we adopt "multi-factor analysis of variance"; If there is one independent variable and multiple dependent variables, adopt "one-way multivariate analysis of variance"; If there are multiple independent variables and multiple dependent variables, "multi-factor multivariate analysis of variance" is adopted.
2. Among them, "one-factor multivariate analysis of variance" and "multi-factor multivariate analysis of variance" are collectively called "multivariate analysis of variance", and the implementation steps on SPSS are exactly the same.
3. In addition, "covariance analysis method" can be understood as "control variable method", that is, controlling one factor unchanged and studying the influence of other factors on the test results. Among them, the variable to be controlled is the covariant in the "analysis of covariance". It has the same literal meaning as "repeated measurement and analysis of variance" This method is the best choice when we need to take the values of observation results many times.
4. From the data structure, careful friends may have found from the previous chapters that ANOVA's data requires "numerical type", and the variable type can be "classified variable" or numerical variable. The reason for adding here is that in SPSS software, if the relevant data structure is not set up in advance, some buttons may be found to be gray and unable to be clicked during SPSS operation.