  <record>
    <language>eng</language>
    <publisher>TQMP</publisher>
    <journalTitle>Tutorials in Quantitative Methods for Psychology</journalTitle>
    <issn>1913-4126</issn>
    <publicationDate>2006-03-01</publicationDate>
    <volume>2</volume>
    <issue>1</issue>
    <startPage>26</startPage>
    <endPage>38</endPage>
    <documentType>article</documentType>
    <title language="eng">Collecting and analyzing data in multidimensional scaling experiments: A guide for psychologists using SPSS</title>

    <authors>
      <author>
        <name>Gyslain Giguère</name>
        <email>g.giguere@umontreal.ca</email>
        <affiliationId>1</affiliationId>
      </author>




    </authors>

    <affiliationsList>
      <affiliationName affiliationId="1">Université de Montréal</affiliationName>




    </affiliationsList>

    <abstract language="eng">
       This paper aims at providing a quick and simple guide to using a multidimensional scaling procedure to analyze experimental data. First, the operations of data collection and preparation are described. Next, instructions for data analysis using the ALSCAL procedure (Takane, Young and DeLeeuw, 1977), found in SPSS, are detailed. Overall, a description of useful commands, measures and graphs is provided. Emphasis is made on experimental designs and program use, rather than the description of techniques in an algebraic or geometrical fashion.  
    </abstract>

    <fullTextUrl format="pdf">http://www.tqmp.org/Content/vol02-1/p026/p026.pdf</fullTextUrl>

    <keywords language="eng">    
      <keyword>Statistics</keyword>

      <keyword>Multidimensional scaling</keyword>




    </keywords>
  </record>


