S2-D is a computer progamme that helps researchers to reproduce, evaluate and visualise Schwartz’s 2-dimensional value space using empirical data in a Goodness-of-Fit test procedure. The automation of this procedure almost completely replaces the manual methods used previously by researchers working with Schwartz’s 2-dimensional model and performing confirmatory Smallest Space Analysis (SSA). SSA is a specific multi-dimensional scaling technique that plots variables as points on a multi-dimensional spatial map and into the smallest possible geometric space. The points or co-ordinates are located on the spatial map according to the similarity of the coefficients (e.g. Pearson Correlation Coefficients) among the variables: closely related variables are plotted close together and dissimilar variables further apart. S2-D is faster, more accurate and standardises the Goodness-of-Fit test procedure in reproducing Schwartz’s two-dimensional model based on SSA.
|Media of output||Online|
|Publication status||Published - 2019|