Pesquisa de referências

Simultaneous analysis of individual and aggregate responses in psychometric data using multilevel modeling

<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
  <record>
    <leader>00000nab a2200000 i 4500</leader>
    <controlfield tag="001">MAP20071501086</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20080418122638.0</controlfield>
    <controlfield tag="007">hzruuu---uuuu</controlfield>
    <controlfield tag="008">000906e19990801usa||||    | |00010|eng d</controlfield>
    <datafield tag="040" ind1=" " ind2=" ">
      <subfield code="a">MAP</subfield>
      <subfield code="b">spa</subfield>
    </datafield>
    <datafield tag="084" ind1=" " ind2=" ">
      <subfield code="a">80</subfield>
    </datafield>
    <datafield tag="245" ind1="1" ind2="0">
      <subfield code="a">Simultaneous analysis of individual and aggregate responses in psychometric data using multilevel modeling</subfield>
      <subfield code="c">Ian H. Langford... [et al.]</subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">Psychometric data on risk perceptions are often collected using the method developed by Slovic, Fischhoff, and Lichtenstein, where an array of risk issues are evaluated with respect to a number of risk characteristics, such as how dreadful, catastrophic or involuntary exposure to each risk is. The analysis of these data has often been carried out at an aggregate level, where mean scores for all respondents are compared between individuals, and individual analyses have also been performed for single risk issues. This paper presents a new methodological approach using a technique called multilevel modelling for analysing individual and aggregated responses simultaneously, to produce unconditional and umbiased results at both individual and aggregate levels of the data. </subfield>
    </datafield>
    <datafield tag="650" ind1="0" ind2="1">
      <subfield code="0">MAPA20080545260</subfield>
      <subfield code="a">Riesgos</subfield>
    </datafield>
    <datafield tag="650" ind1="1" ind2="1">
      <subfield code="0">MAPA20080602871</subfield>
      <subfield code="a">Percepción del riesgo</subfield>
    </datafield>
    <datafield tag="650" ind1="1" ind2="1">
      <subfield code="0">MAPA20080592004</subfield>
      <subfield code="a">Modelo psicométrico</subfield>
    </datafield>
    <datafield tag="650" ind1="0" ind2="1">
      <subfield code="0">MAPA20080601522</subfield>
      <subfield code="a">Evaluación de riesgos</subfield>
    </datafield>
    <datafield tag="650" ind1="1" ind2="1">
      <subfield code="0">MAPA20080591960</subfield>
      <subfield code="a">Métodos de análisis</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20080168995</subfield>
      <subfield code="a">Langford, Ian H.</subfield>
    </datafield>
    <datafield tag="773" ind1="0" ind2=" ">
      <subfield code="w">MAP20077000345</subfield>
      <subfield code="t">Risk analysis : an international journal</subfield>
      <subfield code="d">New York and London : Society for Risk Analysis</subfield>
      <subfield code="g">Vol. 19, nº 4, Agosto, 1999 ; p. 675-683</subfield>
    </datafield>
  </record>
</collection>