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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJPDS</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Population Data Science</journal-title>
        <abbrev-journal-title>IJPDS</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">2399-4908</issn>
      <publisher>
        <publisher-name>Swansea University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.23889/ijpds.v10i4.3020</article-id>
      <article-id pub-id-type="publisher-id">10:3:013</article-id>
      <title-group>
        <article-title>Identifying mothers and fathers of children in care using linked administrative data</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Warner</surname>
            <given-names initials="N">Nell</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>CASCADE, Cardiff University, Cardiff, United Kingdom</institution></aff>
      <pub-date date-type="pub" publication-format="electronic">
        <day>01</day>
        <month>06</month>
        <year>2025</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <year>2025</year>
      </pub-date>
      <volume>8</volume>
      <issue>4</issue>
      <elocation-id>3020</elocation-id>
      <permissions>
        <license license-type="open-access"
          xlink:href="https://creativecommons.org/licences/by/4.0/">
          <license-p>This work is licenced under a Creative Commons Attribution 4.0 International
            License.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="https://ijpds.org/article/view/3020">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3020</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>Female offending carries significant social and economic costs, which could be mitigated by
        early interventions prior to offending onset. Educational attainment has been associated
        with offending however, limited research investigates changes in educational attainment and
        how these correspond to patterns of re-offending across the lifespan in females.</p>
    </sec>
    <sec>
      <title>Methods</title>
      <p>We investigated this using UK administrative data from the linked Police National Computer
        and National Pupil Database. Educational attainment scores were available at Key Stage 1
        (5-7 years), Key Stage 2 (7-11 years), and Key Stage 4 (14-16 years). Scores were
        standardised according to average attainment at each academic year. Linear mixed models were
        used to investigate how educational attainment trajectories were impacted by (1) gender, (2)
        offender status (offender/non-offender [females-only]), and (3) re-offending trajectory
        membership (females-only). Analyses controlled for Ethnicity and free school meal
        eligibility.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>In my talk, I will share findings on the differences in educational attainment trajectories
        from Key Stages 1 to 4 between males and females, female offenders and non-offenders, and
        amongst females following distinct trajectories of re-offending.</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>Findings may inform education and criminal justice system responses to youth offending
        behaviour in females. If females following distinct re-offending trajectories show distinct
        patterns of educational attainment, we may be able to identify at-risk students who are in
        need of additional support or interventions.</p>
    </sec>
  </body>
</article>