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  <titleInfo>
    <title>Interpreting Quantitative Data with IBM SPSS Statistics</title>
  </titleInfo>
  <name type="personal">
    <namePart>Rachad Antonius</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">New Delhi</placeTerm>
    </place>
    <publisher>Sage</publisher>
    <dateIssued>2013</dateIssued>
    <edition>2th ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxvi,343p. PB 23.4x18.5cm.</extent>
  </physicalDescription>
  <abstract>The second edition of Interpreting Quantitative Data with IBM SPSS Statistics is an invaluable resource for students analysing quantitative data for the first time. The book clearly sets out a range of statistical techniques and their common applications, explaining their logic and links to the research process. It also shows how SPSS can be used as a tool to aid analysis.
Key features of the second edition include:

- new chapters on one-way and two-way ANOVA, the Chi-square test and linear regression.

- SPSS lab sessions following each chapter which demonstrate how SPSS can be used in practice

- sets of exercises and ′real-life′ examples to aid teaching and learning

- lists of key terms to aid revision and further reading to enhance students′ understanding

- an improved text design making the book easier to navigate

- a companion website with answers to the labs and exercises, along with additional data sets and powerpoint slides</abstract>
  <subject>
    <topic>Generalities</topic>
    <topic>Research</topic>
  </subject>
  <classification authority="ddc" edition="23">001.422 ANTI</classification>
  <identifier type="isbn">9781446207437</identifier>
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    <recordCreationDate encoding="marc">220216</recordCreationDate>
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