I have been instructed to seek MANOVA to aid the task of validating my data.
I have four variables: Survey_Data_x, Survey_Data_y, Predicted_Data_x, Predicted_Data_y.
The first two variables belong together (x and y coordinates) and are from a user survey, and the last two variables also belong together (x and y coordinates) from a predicted model I have constructed.
I need a way to determine if there is a significant difference or not between the two-dimensional points of the survey data and the predicted data, but I am not sure how to configure this using SPSS, since most YouTube tutorials are using data that is much different in nature to mine.
Also, is MANOVA actually the correct way to quantify my data as I have also been told Odds Ratio may also be a possible metric?
So far I have plotted a scatter plot matrix and a correlation matrix which has yielded some strong correlations between the survey data and the predicted data in terms of individual dimensions.