<record>
    <language>eng</language>
    <publisher>TQMP</publisher>
    <journalTitle>The Quantitative Methods for Psychology</journalTitle>
    <eissn>1913-4126</eissn>
    <publicationDate>2022-07-18</publicationDate>
    <volume>18</volume>
    <issue>2</issue>
    <startPage>v1</startPage>
    <endPage>v6</endPage>
	<doi>10.20982/tqmp.18.2.v001</doi>
    <documentType>article</documentType>
    <title language="eng">Focusing on structural features of a scenario: An activity on expected frequencies, deviations, and chi-square contributions</title>

    <authors>
      <author>
        <name>Chadillon-Farinacci, Véronique</name>
        <email>veronique.chadillon-farinacci@umoncton.ca</email>
        <affiliationId>a</affiliationId>
      </author>
    </authors>

    <affiliationsList>
      <affiliationName affiliationId="1">université de Moncton</affiliationName>
    </affiliationsList>

    <abstract language="eng">
       In this paper, I present a way to teach statistics by helping students reuse structural features of a problem to interpret those features. It consists of explaining concepts by presenting corresponding analogical examples following a given story. Expected frequencies, deviations and chi-square contributions are presented in relation to a story where six people found tokens on a geocaching course. The activity prepares students to gradually interpret these three elements of the chi-square statistic test on their own. The activity also allows for a discussion about benefits of the chi-square test of independence, namely its added value compared to proportions that can show spurious results.  
    </abstract>

    <fullTextUrl format="pdf">https://www.tqmp.org/Vignettes/vol18-2/v001/v001.pdf</fullTextUrl>

    <keywords language="eng">    
      <keyword>storytelling</keyword>
      <keyword>expected frequencies</keyword>
      <keyword>deviations</keyword>
      <keyword>chi-square contributions</keyword>
      <keyword>chi-square statistic</keyword>
    </keywords>
  </record>