Multiple Perceptual Map Generation using MDSvarext

Moacyr Machado Cardoso Junior

Multiple Perceptual Map Generation using MDSvarext

Moacyr Machado Cardoso Junior * §

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walidalrawi

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§ Instituto TecnolAgico de AeronAutica

Multiple Perceptual Map Generation using MDSvarext

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Abstract

Perceptual mapping is widely spread to assess perception in different areas, like marketing, political and social sciences, psychology and others. One opportunity for development is to add statistical inference on final configuration in order to consider inherent differences of a group of evaluators. The main objective is to produce multiple perceptual maps from focal panel and to incorporate the confidence regions of different evaluators into the visual representation using MDSvarext. The algorithm represents a joining of non metric multidimensional scaling, shape statistical tool, clustering techniques and non parametric estimation of variance-covariance matrix to generate a visual representation of object’s perception and its confidence regions. An experiment to assess occupational risk perception has been run in order to demonstrate the method. The results showed that different perceptual maps are needed to encompass the variability of a focal group. The generated perceptual maps have different interpretations since the objects may be on opposite sides of the graph. The solution generated by MDsvarext was effective and statistical inference could be done. To explore the variability in focal groups is very important, and MDSvarext represents a path to be followed, since it was possible to visualize the differences that are statistical significant.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Moacyr Machado Cardoso Junior, walidalrawi. 2014. "Multiple Perceptual Map Generation using MDSvarext". Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 14 (GJRE Volume 14 Issue J3).

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GJRE Volume 14 Issue J3

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

Clustering multidimensional scaling perception perceptual map statistical Inference

Classification

GJRE-J Classification FOR Code: 091599

Submission ReceivedDecember 7, 2013
Peer Review Double Blind
Handling Editor
Accepted December 31, 2013
Published January 15, 2014

Version of record

v1.2

Issue date

September 11, 2014

Language

English

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Article Matrices

Total Score: 102

Country: Brazil

Subject: Global Journal of Research in Engineering

Authors: Moacyr Machado Cardoso Junior, Rodrigo Arnaldo Scarpel (PhD/Dr. count: 0)

View Count (all-time): 397

Total Views (Real + Logic): 1020

Total Downloads (simulated): 57

Publish Date: 2014 01, Wed

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Total Views: 1K

Total Downloads: 57

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