Multidimensional Scaling

2010 ◽  
pp. 225-254
Author(s):  
Sean Eom
Keyword(s):  
Multidimensional Scaling ◽  
Three Dimensional ◽  
Distance Matrix ◽  
Geometric Configuration ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Label Data ◽  
Data Points ◽  
Author Cocitation

This chapter discusses multidimensional scaling (MDS) procedures. MDS is a class of multivariate statistical techniques/procedures to produce two or three dimensional pictures of data (geometric configuration of points) using proximities among any kind of objects as input. Three SAS procedures (MDS, PLOT, and G3D) are necessary to convert the author cocitation frequency matrix to two or three dimensional pictures of data. The distance matrix produced earlier by using xmacro.sas and distnew.sas programs should be converted to a coordinate matrix, to produce twodimensional plots, and annotated three-dimensional scatter diagrams. This chapter also discusses how to label data points on a plot. The annotate facility in the SAS system produces figures with the name of the author on each data point. The PROC MDS procedure includes many of the features of the ALSCAL procedure.

A New Procedure for Concept Evaluation

1973 ◽  
Vol 37 (4) ◽  
pp. 2-11 ◽  
Author(s):  
Yoram Wind
Keyword(s):  
Multidimensional Scaling ◽  
Testing Procedure ◽  
Statistical Techniques ◽  
Conjoint Measurement ◽  
Multivariate Statistical Techniques ◽  
Market Segments ◽  
Multivariate Statistical ◽  
Concept Evaluation

The author suggests a concept testing procedure which relies on concept evaluation and positioning by market segments. The integration of multidimensional scaling, conjoint measurement procedures, and related multivariate statistical techniques is explained and illustrated.

Assessing exercises recommended for women at risk of pelvic floor disorders using multivariate statistical techniques

2017 ◽  
Vol 29 (10) ◽  
pp. 1447-1454 ◽  
Author(s):  
Tania Tian ◽  
Stephanie Budgett ◽  
Jackie Smalldridge ◽  
Lynsey Hayward ◽  
James Stinear ◽  
...  
Keyword(s):  
At Risk ◽  
Pelvic Floor ◽  
Pelvic Floor Disorders ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical

Interactions of 2-PPM Lead in the Water Supply with Food Deprivation upon Maze-Swimming Behavior of Mice

1982 ◽  
Vol 55 (2) ◽  
pp. 515-519 ◽  
Author(s):  
S. Kowalski ◽  
G. H. Parker ◽  
M. A. Persinger
Keyword(s):  
Drinking Water ◽  
Water Supply ◽  
Food Deprivation ◽  
Tap Water ◽  
Swimming Behavior ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Food Condition ◽  
Ad Libitum

Mice that had been given either tap water or 2 ppm lead in their drinking water and either severely food deprived (3 days before testing) or allowed food ad libitum demonstrated significant interactions of lead treatment by day by food condition and lead by block. Although not statistically significant, the food deprived-lead treated mice displayed more errors and longer latencies than the ad libitum-water controls. The food deprived-water controls and ad libitum-lead-treated mice displayed intermediate values. The importance of using multivariate statistical techniques that can evaluate dynamic repeated behavioral measurements is emphasized.

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