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PCA Principal Component Analysis

 
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PostPosted: Mon Sep 19, 2016 9:59 am    Post subject: PCA Principal Component Analysis Reply with quote


SIMS now delivers extensive PCA Principal Component Analysis reports and graphics.
SIMS statistics are totally automated using the power and of free R statistics.


PCA Principal Component Analysis 3D Report Examples
http://www.sims2000.com/ReportsShowAdvancedPCA3DAnalysis.asp

PCA Principal Component Analysis 2D Report Examples
http://www.sims2000.com/ReportsShowAdvancedPCAAnalysis.asp

Preference Mapping Analysis 3D Report Examples
http://www.sims2000.com/ReportsShowAdvancedPreferenceMapping3DAnalysis.asp

Preference Mapping Analysis 2D Report Examples
http://www.sims2000.com/ReportsShowAdvancedPreferenceMappingAnalysis.asp

Cluster Analysis Report Examples
http://www.sims2000.com/ReportsShowAdvancedClusterAnalysis.asp

Chi-Square Analysis Report Examples
http://www.sims2000.com/ReportsShowAdvancedChiSquareAnalysis.asp


Contact SIMS for more information.

SIMS Sensory Quality Panel Software Systems
New Jersey 07922 USA
800-579-7654 908-665-6464
www.SIMS2000.com www.SensoryTest.com




Last edited by ForumAdmin on Mon Sep 19, 2016 10:19 am; edited 4 times in total

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PostPosted: Mon Sep 19, 2016 10:00 am    Post subject: Reply with quote

Preference Mapping and PCA.

The following article discusses the various methods and theoretical models that can be employed to analyze interactions between attributes (components) and consumer studies.

A COMPARISON OF SEVEN PREFERENCE MAPPING TECHNIQUES USING FOUR SOFTWARE PROGRAMS
YENKET, CHAMBERS, ADHIKARI
Journal of Sensory Studies
Volume 26, Issue 2, pages 135150, April 2011

The software programs discussed are SAS, Unscrambler, Xlstat, and Sentools.
Preference mapping techniques discussed include MDPREF, PCA, Modified-PREFMAP, CVA, GPA, PLS1, and PLS2.

Table 5 in the article details the advantages and disadvantages of each technique.

Online abstract: http://onlinelibrary.wiley.com/doi/10.1111/j.1745-459X.2011.00330.x/abstract

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PostPosted: Mon Sep 19, 2016 10:01 am    Post subject: Reply with quote


Alternatively export your SIMS data set raw data to XLStat, SAS Stats, JMP, Camo, etc. Roll your own PCA. Some of these external packages may offer additional advanced options. Many varying types and methods exist for multi-variant, PCA, see JOSS article cited above. Use one or more of the stats programs and execute the statistical methods of your choosing.


Preference Mapping: Principal component analysis (PCA) are multivariate data compression techniques
that allows multiple treatments to be graphically displayed as they are differentiated by multiple variables.
These techniques is often applied to assess how several products were differentiated by several sensory descriptors


Conjoint analysis: Conjoint analysis is a popular marketing research technique that marketers sometimes
use to determine what features a new product should have and how it should be priced.
Conjoint analysis is another group of quantitative consumer tests similar to PCA that can be used to
probe consumer perceptions. The goal is determination of which product attribute(s) are most important.
Multiple techniques include Adaptive Conjoint Analysis (ACA), Choice Based Conjoint Analysis (CBC), and others.
SIMS does not currently automate Conjoint statistical reporting, we recommend start by exporting raw data to SAS, JMP, Camo, etc.
Google: SAS Institute 'Conjoint Analysis Examples' for their 92 page SAS Technical Report R-l 09 Conjoint Analysis Examples.
http://support.sas.com/documentation/onlinedoc/v82/techreport_r109.pdf
Various statistical techniques are discussed including Metric conjoint analysis and Nonmetric conjoint analysis.
SIMS webpage with some more information: www.sims2000.com/MultipleFactorConceptTesting.asp

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PostPosted: Mon May 24, 2021 10:48 am    Post subject: Reply with quote

Thank you
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