Component Loadings
This figure shows the plot of component loadings. The vectors (lines) are relatively long, indicating again that the first two dimensions account for most of the variance of all of the quantified variables. On the first dimension, all variables have high (positive) component loadings. The second dimension is correlated mainly with the quantified variables Feeling of belonging and Physical Proximity, in opposite directions. This means that objects with a large negative score in dimension 2 will have a high score in feeling of belonging and a low score in physical proximity. The second dimension, therefore, reveals a contrast between these two variables while having little relation with the quantified variables Intensity of interaction and Frequency of interaction.
To examine the relation between the objects and the variables, look at the biplot of objects and component loadings. The vector of a variable points into the direction of the highest category of the variable. For example, for Physical Proximity and Feeling of belonging the highest categories are close and high, respectively. Therefore, CROWDS are characterized by close physical proximity and no feeling of belonging, and SECONDARY GROUPS, by distant physical proximity and a high feeling of belonging.
