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  <titleInfo>
    <title>Doing quantitative research in education with IBM SPSS</title>
  </titleInfo>
  <titleInfo type="uniform">
    <title>Doing quantitative research in education with SPSS</title>
  </titleInfo>
  <name type="personal">
    <namePart>Muijs, Daniel</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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    <dateIssued encoding="marc">2022</dateIssued>
    <edition>Third edition.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>viii, 218 pages :  illustrations ;  24 cm. </extent>
  </physicalDescription>
  <abstract>"This essential guide for education students and researchers explains how to use quantitative methods for analysing educational data using IBM SPSS statistics.
By using datasets from real-life educational research, it demonstrates key statistical techniques that you will need to know, explaining how each procedure can be run on IBM SPSS statistics. Datasets discussed in the book are downloadable, allowing you to hone your skills as you read. In this third edition, explanations have been updated with figures and screenshots from SPSS version 28, alongside a range of new research examples and updated further reading"-- Back cover.</abstract>
  <tableOfContents>Introduction to quantitative research -- Experimental and quasi-experimental research -- Designing non-experimental studies -- Validity, reliability and generalizability -- Introduction to IBM SPSS statistics and the data set -- Univariate statistics -- Bivariate analysis: comparing two groups -- Bivariate analysis: looking at the relationship between two variables -- Multivariate analysis: using regression models to look at the relationship between several predictors and one dependent variable -- Using analysis of variance to compare more than two groups -- Developing scales and measures; item and factor analysis -- One step beyond: introduction to multilevel modelling and structural equation modelling.  </tableOfContents>
  <note type="statement of responsibility">Daniel Muijs.</note>
  <note>Includes bibliographical references and index. </note>
  <subject authority="lcsh">
    <topic>SPSS (Computer file)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Education</topic>
    <topic>Research</topic>
    <topic>Methodology</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Quantitative research</topic>
  </subject>
  <classification authority="lcc">LB1028  .M775 2022</classification>
  <classification authority="ddc">370.72  M896d</classification>
  <identifier type="isbn">9781526432681</identifier>
  <identifier type="lccn">2021948889</identifier>
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    <recordCreationDate encoding="marc">211014</recordCreationDate>
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    <recordIdentifier source="CSPC">22271941</recordIdentifier>
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      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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