S2-D Software: Reproducing, Evaluation and Visualizing Schwartz’s Two-Dimensional Value Space.

Daniela Wetzelhütter, Johann Bacher, Jacques P. de Wet, Julia Reidinger (Developer), Christof Altenstraßer (Developer), Christian Schwendtner (Developer)

Research output: Non-print formsSoftware / Research Data


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.
Original languageEnglish
Media of outputOnline
Publication statusPublished - 2019


Dive into the research topics of 'S2-D Software: Reproducing, Evaluation and Visualizing Schwartz’s Two-Dimensional Value Space.'. Together they form a unique fingerprint.

Cite this