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  <titleInfo>
    <title>Learning from data</title>
    <subTitle>an introduction to statistical reasoning using JASP</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Glenberg, Arthur M.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Andrzejewski, Matthew E.</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>Routledge</publisher>
    <dateIssued>2025</dateIssued>
    <edition>4th ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>viii, 536 p.</extent>
  </physicalDescription>
  <abstract>This fully updated fourth edition explores the foundations of statistical reasoning, focusing on how to interpret psychological data and statistical results. This edition includes three new features. First, the book is closely integrated with the free statistical analysis program JASP. Thus, students learn how to use JASP to help with tasks such as constructing grouped frequency distributions, making violin plots, conducting inferential statistical tests, and creating confidence intervals. Second, reflecting the growing use of Bayesian analyses in the professional literature, this edition includes a chapter with an introduction to Bayesian statistics (also using JASP). Third, the revised text incorporates adjunct questions, that is, questions that challenge the student's understanding, after each major section.</abstract>
  <note type="statement of responsibility">Arthur M. Glenberg and Matthew E. Andrzejewski</note>
  <note>Includes index.</note>
  <note>Eng</note>
  <subject>
    <topic>Statistics</topic>
  </subject>
  <subject>
    <topic>JASPC (computer programming)</topic>
  </subject>
  <classification authority="ddc">001.422 GLE-L</classification>
  <identifier type="isbn">9780367457976</identifier>
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    <recordCreationDate encoding="marc">260407</recordCreationDate>
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