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  <titleInfo>
    <title>Data analysis and the social sciences</title>
  </titleInfo>
  <name type="personal">
    <namePart>McKay, David H.</namePart>
  </name>
  <name type="personal">
    <namePart>Schofield, Norman</namePart>
    <namePart type="date">1944-</namePart>
  </name>
  <name type="personal">
    <namePart>Whiteley, Paul.</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">enk</placeTerm>
    </place>
    <place>
      <placeTerm type="text">London</placeTerm>
    </place>
    <publisher>F. Pinter</publisher>
    <dateIssued>1983</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>ix, 291 p. : ill. ; 24 cm.</extent>
  </physicalDescription>
  <tableOfContents>Introduction / Norman Schofield and David McKay -- Fundamentals of the theory of regression / David Reason -- The analysis of contingency tables / Paul Whiteley -- Stochastic models for unidimensional scaling : Mokken and Rasch / Kees Niemöller and Wijbrandt von Schuur -- Multidimensional scaling / A.P.M. Coxon with C.L. Jones -- Cluster analysis / Brian Everitt -- Exploratory data analysis : a process and a problem / K.I. Macdonald.</tableOfContents>
  <targetAudience authority="marctarget">general</targetAudience>
  <note type="statement of responsibility">edited by David McKay, Norman Schofield and Paul Whiteley.</note>
  <note>Includes bibliographies and index.</note>
  <subject authority="lcsh">
    <topic>Social sciences</topic>
    <topic>Statistical methods</topic>
  </subject>
  <classification authority="lcc">HA29 .D27x 1983b</classification>
  <classification authority="ddc">519.5024301 DAT 1983</classification>
  <identifier type="isbn">0861872185</identifier>
  <identifier type="isbn">0861872177 (jacket)</identifier>
  <identifier type="lccn">84672865</identifier>
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