PC-MDS

MULTIDIMENSIONAL STATISTICS FOR THE PC

Program Descriptions And Help Information

PRINTING GRAPHICS PC-MDS produces 3 dimensional graphics output that may be rotated and edited. Printer drivers for outputing the graphics are included with the programs. With Windows 95 and Windows NT it is much easier to not worry about loading the printer drivers and (1) simply press the keyboard's "Print Scrn" key (2) Enter a graphics program and (3) Pull the graphic off the Windows clipboard. The 3 dimensional plots may then be edited for final printing using the graphics program.

MDPREF MultiDimensional PREFerence Scaling, performs an analysis of any type of dominance data for up to 100 stimuli (attributes) and 100 subjects (products). The program develops vector directions for preferences and the configuration of stimuli in a common space. (3-D Perceptual Maps)

KYST Offers Kruskal Young Shepard Torgerson multidimensional scaling. KYST combines MDSCAL and TORSCA to include the powerful initial configuration of TORSCA along with the ability to rotate solutions to principal components. Proximity (similarity) data is used for up to 100 stimuli in 10 dimensions, with the limit of 5000 data points. KYST offers a variety of data input formats and distance measures. Monotone, polynomial and multivariate regression models may be derived. (3-D Perceptual Maps)

PREFMAP Produces PREFerence MAPping analysis based on a generalization of the Coombsian unfolding model of preference. These models use a known configuration of stimuli to portray individual preference data. Up to 150 stimuli in 10 dimensions may be evaluated for 49 respondent groups. (3-D Perceptual Maps)

INDSCAL INdividual Differences SCALing produces an analysis of proximity (similarity) data. Program options include INDIFF, for scaling individual differences and CANDECOMP for performing the more general canonical decomposition of N-way tables. INDSCAL produces up to a 7 way solution for 10 dimensions. The product of the total number of levels must be less than 40,000. (3-D Perceptual Maps of both stimuli and subject group spaces).

PROFIT PROperty FITting by Optimizing Nonlinear or Linear Correlation is a technique for fitting outside property vectors into stimulus spaces. Two types of property fitting: Max R, and non linear correlation, are performed. PROFIT performs separate linear or nonlinear, or both linear and non-linear regression for a set of 60 properties on 400 stimuli in 10 dimensions. (3-D Maps)

MONANOVA MONotone ANalysis Of VAriance performs additive conjoint analysis of rank order data. This model handles full factorial designs and up to 12 factors can be handled with 100 levels per factor and a maximum of 4000 data points.

TRADEOFF Performs a non-metric pairwise conjoint analysis. Utilities are produced for an attribute matrix of up to 10 levels by 10 levels. Up to 200 Attributes may be defined. Additive or multiplicative utilities may be specified. Utility importance values are derived.

CONJOINT Performs a conjoint analysis of fractional factorial data. The program is compatible with design files from Bretton Clark's Conjoint Designer. This two stage program generates utilities, permits specification of part worth, vector, and ideal point models which are used in a simulator to generate choice share estimates using the Bradley-Terry-Luce, Logit and First Choice Models. 50 variables and 10,000 subjects. T-tests of differences between levels.

CLUSTER Howard Harris CLUSTER analysis of a subject by variable matrix. Using the K-means method, within-group variance is minimized at each clustering level. 3000 subjects and 25 variables.

HICLUST HIerarchical CLUSTering performs hierarchical cluster analysis on a 200 x 200 matrix of similarity or dissimilarity data (KYST or INDSCAL input data). Two methods are performed and cluster maps produced.

WARDS Ward's method is a hierarchical agglomerative method of clustering. Ward's method optimizes the minimum variance within clusters using the within groups sum of squares. 300 subjects and 300 variables. Groupings and respondent's membership are produced.

CASE5 Thurstone CASE 5 analysis computes scale scores from (1) raw paired comparisons data, (2) a frequency matrix of the number of times one stimulus was preferred to another stimulus, or (3) ranked data. Up to a 60 stimuli by 60 stimuli matrix.

DISTRAN Computes a matrix of inter-point distances from a stimuli by variables data matrix. (100 stimuli and 100 attributes).

FMATCH Cliff Factor MATCHing performs an orthogonal rotation of two matrices (such as MDS or factor analysis solutions) to achieve congruence. FMATCH will fit a 50 by 50 target matrix to any number of data matrices.

AID Automatic Interaction Detector employs a non-symmetrical branching process based on ANOVA techniques (similar to a stepwise regression) to subdivide a sample into a series of demographic subgroups. Accommodates 60 variables for large data sets.

CORAN CORrespondence ANalysis consists of techniques for mapping two way contingency tables for large data sets. Correspondence analysis is analogous to a principal components analysis of rows and columns of contingency tables (cross-tabulation data). Correspondence analysis finds the best simultaneous representation of the categorical data. (Lebart, Morineau, Warwick algorithm) (3-D Perceptual Maps)

CORRESP CORRESPondence analysis uses the Carroll, Green and Schaffer algorithm for mapping two way contingency tables for large data sets. This algorithm double centers the data producing more accurate representations of structure. Up to 100 rows and columns of contingency table (cross-tabulation) data may be analyzed. (3-D Perceptual Maps)

DISCRIM Interactive stepwise DISCRIMinant analysis. 50 variables and 32,000 subjects. Discrim was developed from the BMD statistical programs (Algorithms developed under the National Science Foundation). SPSS mainframe commands support extensive data manipulation capabilities.

REGRESS Interactive stepwise multiple regression analysis. Up to 50 variables and 32,000 subjects. Regress was developed from the BMD statistical programs (Algorithms developed under the National Science Foundation). SPSS mainframe commands support extensive data manipulation capabilities.

FACTOR Interactive FACTOR Analysis. Orthogonal and oblique rotation and output and interleaving of factor scores to the respondent data file are supported. Up to 50 variables may be analyzed for 32,000 subjects. FACTOR was developed from the BMD statistical programs (Algorithms developed under the National Science Foundation). SPSS mainframe commands support extensive data manipulation capabilities.

FREQ Frequency analysis and descriptive statistics. Up to 250 variables may be analyzed for 32,000 subjects. Frequency was developed from the BMD statistical programs (Algorithms developed under the National Science Foundation). SPSS mainframe commands support extensive data manipulation capabilities.

EDIT A full screen ASCII editor with full search and replace, blocking and file management capabilities. Multiple files may be open simultaneously.

SPSS is a registered trademark of SPSS Inc.

PC-MDS Statistical Tools

marketing.byu.edu | PC-MDS | PC-MDS Questions | Download Sample Programs and PC-MDS Information

Page Information: URL: http://marketing.byu.edu/marketing/html.pages/pcmds/pcmdshlp.htm
Designer: Scott M. Smith, smsmith@byu.edu

PRINTING GRAPHICS		PC-MDS produces 3 dimensional graphics output that may be rotated and edited. Printer drivers for outputing the graphics are included with the programs. With Windows 95 and Windows NT it is much easier to not worry about loading the printer drivers and (1) simply press the keyboard's "Print Scrn" key (2) Enter a graphics program and (3) Pull the graphic off the Windows clipboard. The 3 dimensional plots may then be edited for final printing using the graphics program.

MDPREF		MultiDimensional PREFerence Scaling, performs an analysis of any type of dominance data for up to 100 stimuli (attributes) and 100 subjects (products). The program develops vector directions for preferences and the configuration of stimuli in a common space. (3-D Perceptual Maps)

KYST		Offers Kruskal Young Shepard Torgerson multidimensional scaling. KYST combines MDSCAL and TORSCA to include the powerful initial configuration of TORSCA along with the ability to rotate solutions to principal components. Proximity (similarity) data is used for up to 100 stimuli in 10 dimensions, with the limit of 5000 data points. KYST offers a variety of data input formats and distance measures. Monotone, polynomial and multivariate regression models may be derived. (3-D Perceptual Maps)

PREFMAP		Produces PREFerence MAPping analysis based on a generalization of the Coombsian unfolding model of preference. These models use a known configuration of stimuli to portray individual preference data. Up to 150 stimuli in 10 dimensions may be evaluated for 49 respondent groups. (3-D Perceptual Maps)

INDSCAL		INdividual Differences SCALing produces an analysis of proximity (similarity) data. Program options include INDIFF, for scaling individual differences and CANDECOMP for performing the more general canonical decomposition of N-way tables. INDSCAL produces up to a 7 way solution for 10 dimensions. The product of the total number of levels must be less than 40,000. (3-D Perceptual Maps of both stimuli and subject group spaces).

PROFIT		PROperty FITting by Optimizing Nonlinear or Linear Correlation is a technique for fitting outside property vectors into stimulus spaces. Two types of property fitting: Max R, and non linear correlation, are performed. PROFIT performs separate linear or nonlinear, or both linear and non-linear regression for a set of 60 properties on 400 stimuli in 10 dimensions. (3-D Maps)

MONANOVA		MONotone ANalysis Of VAriance performs additive conjoint analysis of rank order data. This model handles full factorial designs and up to 12 factors can be handled with 100 levels per factor and a maximum of 4000 data points.

TRADEOFF		Performs a non-metric pairwise conjoint analysis. Utilities are produced for an attribute matrix of up to 10 levels by 10 levels. Up to 200 Attributes may be defined. Additive or multiplicative utilities may be specified. Utility importance values are derived.

CONJOINT		Performs a conjoint analysis of fractional factorial data. The program is compatible with design files from Bretton Clark's Conjoint Designer. This two stage program generates utilities, permits specification of part worth, vector, and ideal point models which are used in a simulator to generate choice share estimates using the Bradley-Terry-Luce, Logit and First Choice Models. 50 variables and 10,000 subjects. T-tests of differences between levels.

CLUSTER		Howard Harris CLUSTER analysis of a subject by variable matrix. Using the K-means method, within-group variance is minimized at each clustering level. 3000 subjects and 25 variables.

HICLUST		HIerarchical CLUSTering performs hierarchical cluster analysis on a 200 x 200 matrix of similarity or dissimilarity data (KYST or INDSCAL input data). Two methods are performed and cluster maps produced.

WARDS		Ward's method is a hierarchical agglomerative method of clustering. Ward's method optimizes the minimum variance within clusters using the within groups sum of squares. 300 subjects and 300 variables. Groupings and respondent's membership are produced.

CASE5		Thurstone CASE 5 analysis computes scale scores from (1) raw paired comparisons data, (2) a frequency matrix of the number of times one stimulus was preferred to another stimulus, or (3) ranked data. Up to a 60 stimuli by 60 stimuli matrix.

DISTRAN		Computes a matrix of inter-point distances from a stimuli by variables data matrix. (100 stimuli and 100 attributes).

FMATCH		Cliff Factor MATCHing performs an orthogonal rotation of two matrices (such as MDS or factor analysis solutions) to achieve congruence. FMATCH will fit a 50 by 50 target matrix to any number of data matrices.

AID		Automatic Interaction Detector employs a non-symmetrical branching process based on ANOVA techniques (similar to a stepwise regression) to subdivide a sample into a series of demographic subgroups. Accommodates 60 variables for large data sets.

CORAN		CORrespondence ANalysis consists of techniques for mapping two way contingency tables for large data sets. Correspondence analysis is analogous to a principal components analysis of rows and columns of contingency tables (cross-tabulation data). Correspondence analysis finds the best simultaneous representation of the categorical data. (Lebart, Morineau, Warwick algorithm) (3-D Perceptual Maps)

CORRESP		CORRESPondence analysis uses the Carroll, Green and Schaffer algorithm for mapping two way contingency tables for large data sets. This algorithm double centers the data producing more accurate representations of structure. Up to 100 rows and columns of contingency table (cross-tabulation) data may be analyzed. (3-D Perceptual Maps)

DISCRIM		Interactive stepwise DISCRIMinant analysis. 50 variables and 32,000 subjects. Discrim was developed from the BMD statistical programs (Algorithms developed under the National Science Foundation). SPSS mainframe commands support extensive data manipulation capabilities.

REGRESS		Interactive stepwise multiple regression analysis. Up to 50 variables and 32,000 subjects. Regress was developed from the BMD statistical programs (Algorithms developed under the National Science Foundation). SPSS mainframe commands support extensive data manipulation capabilities.

FACTOR		Interactive FACTOR Analysis. Orthogonal and oblique rotation and output and interleaving of factor scores to the respondent data file are supported. Up to 50 variables may be analyzed for 32,000 subjects. FACTOR was developed from the BMD statistical programs (Algorithms developed under the National Science Foundation). SPSS mainframe commands support extensive data manipulation capabilities.

FREQ		Frequency analysis and descriptive statistics. Up to 250 variables may be analyzed for 32,000 subjects. Frequency was developed from the BMD statistical programs (Algorithms developed under the National Science Foundation). SPSS mainframe commands support extensive data manipulation capabilities.

EDIT		A full screen ASCII editor with full search and replace, blocking and file management capabilities. Multiple files may be open simultaneously.