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Rasch analysis of a collection of Astronomy items

Athanasios Verdis; Spyridon Kokkotas; Evi Panou


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  <identifier identifierType="DOI">10.5281/zenodo.1469846</identifier>
  <creators>
    <creator>
      <creatorName>Athanasios Verdis</creatorName>
      <affiliation>Research Paths</affiliation>
    </creator>
    <creator>
      <creatorName>Spyridon Kokkotas</creatorName>
      <affiliation>Research Paths</affiliation>
    </creator>
    <creator>
      <creatorName>Evi Panou</creatorName>
      <affiliation>Research Paths</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Rasch analysis of a collection of Astronomy items</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Astronomy</subject>
    <subject>STEM</subject>
    <subject>Rasch analysis</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-10-24</date>
  </dates>
  <language>el</language>
  <resourceType resourceTypeGeneral="Text">Presentation</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1469846</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1469845</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This paper examines how Rasch analysis and Principal Components Analysis have been used complementarily in the evaluation of an astronomy course. Twelve dichotomous items were presented to 134 secondary school students in Greece. The items evaluated a STEM project, with emphasis on its Astronomy component. Nonlinear Principal Components analysis and Rasch analysis are compared regarding the issue of unidimensionality. It is argued that non-linear Principal Component Analysis offers safer criteria for suggesting unidimensionality but at the same time Rasch&amp;nbsp;analysis&amp;nbsp;provides more information regarding items&amp;rsquo; difficulty and participants&amp;rsquo; ability.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/710577/">710577</awardNumber>
      <awardTitle>Promotion of STEM education by key scientific challenges and their impact on our life and career perspectives</awardTitle>
    </fundingReference>
  </fundingReferences>
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