Trends analysis in the investigations realised from the data of the PISA Project.

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Title: Trends analysis in the investigations realised from the data of the PISA Project.
Alternate Title: Análisis de tendencias en las investigaciones realizadas a partir de los datos del Proyecto PISA.
Authors: Pereira, Dora1 doralousadopereira@gmail.com, Perales, María-Jesús2 perales@uv.es, Bakieva, Margarita2 margarita.bakieva@uv.es
Source: Electronic Journal of Educational Research, Assessment & Evaluation / Revista Electrónica de Investigación y Evaluación Educativa. 2016, Vol. 22 Issue 1, p1-17. 17p.
Subject Terms: *Educational evaluation, *Education research, *Data analysis, Trend analysis
Company/Entity: Programme for International Student Assessment
Abstract (English): This study is part of a broader research that aims to design a model of evaluation of educational systems, based in social cohesion. The starting point is located in previous research about the context variables; it is cared more frequently a theoretical justification and metric quality of output variables, leaving aside the variables that can help interpret the results. In our case, we conducted a review of the scientific literature, based in empirical papers that use PISA database and published between 2000 and 2012. The methodology is structured in two phases: identification and selection of documents and further analysis of these documents. The analysis of documents consists of identifying certain indicators in order to explore. Some results suggest that researchers in the field of education underuse PISA databases. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): Este estudio es parte de una investigación más amplia que pretende diseñar un modelo de análisis de evaluaciones de sistemas educativos que permita valorar su aportación para la cohesión social. El punto de partida se sitúa en las investigaciones previas que analizan el papel de las variables de contexto, de entrada y de proceso en las evaluaciones de sistemas educativos, que frecuentemente cuidan mucho más la justificación teórica y la calidad métrica de las variables de producto que estas otras, que finalmente ayudan a interpretar los resultados. En este caso realizamos revisión de los trabajos científico-académicos del corte empírico, publicados entre los años 2000 y 2012, que utilizan bases de datos PISA. La metodología se estructura en dos fases: identificación y selección de los documentos para formar una base y posterior análisis de cada uno de los documentos con el fin de extraer indicadores que nos permitieran realizar un análisis exploratorio. Algunos resultados hacen pensar que las bases de datos PISA están infrautilizadas, sobre todo por los investigadores en el campo de educación. [ABSTRACT FROM AUTHOR]
Copyright of Electronic Journal of Educational Research, Assessment & Evaluation / Revista Electrónica de Investigación y Evaluación Educativa is the property of RELIEVE - Revista Electonica de Investigacion y Evaluacion Educativa and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  – Type: pdflink
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Trends analysis in the investigations realised from the data of the PISA Project.
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  Data: Análisis de tendencias en las investigaciones realizadas a partir de los datos del Proyecto PISA.
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  Data: <searchLink fieldCode="AR" term="%22Pereira%2C+Dora%22">Pereira, Dora</searchLink><relatesTo>1</relatesTo><i> doralousadopereira@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Perales%2C+María-Jesús%22">Perales, María-Jesús</searchLink><relatesTo>2</relatesTo><i> perales@uv.es</i><br /><searchLink fieldCode="AR" term="%22Bakieva%2C+Margarita%22">Bakieva, Margarita</searchLink><relatesTo>2</relatesTo><i> margarita.bakieva@uv.es</i>
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  Data: *<searchLink fieldCode="DE" term="%22Educational+evaluation%22">Educational evaluation</searchLink><br />*<searchLink fieldCode="DE" term="%22Education+research%22">Education research</searchLink><br />*<searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Trend+analysis%22">Trend analysis</searchLink>
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– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: This study is part of a broader research that aims to design a model of evaluation of educational systems, based in social cohesion. The starting point is located in previous research about the context variables; it is cared more frequently a theoretical justification and metric quality of output variables, leaving aside the variables that can help interpret the results. In our case, we conducted a review of the scientific literature, based in empirical papers that use PISA database and published between 2000 and 2012. The methodology is structured in two phases: identification and selection of documents and further analysis of these documents. The analysis of documents consists of identifying certain indicators in order to explore. Some results suggest that researchers in the field of education underuse PISA databases. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Spanish)
  Group: Ab
  Data: Este estudio es parte de una investigación más amplia que pretende diseñar un modelo de análisis de evaluaciones de sistemas educativos que permita valorar su aportación para la cohesión social. El punto de partida se sitúa en las investigaciones previas que analizan el papel de las variables de contexto, de entrada y de proceso en las evaluaciones de sistemas educativos, que frecuentemente cuidan mucho más la justificación teórica y la calidad métrica de las variables de producto que estas otras, que finalmente ayudan a interpretar los resultados. En este caso realizamos revisión de los trabajos científico-académicos del corte empírico, publicados entre los años 2000 y 2012, que utilizan bases de datos PISA. La metodología se estructura en dos fases: identificación y selección de los documentos para formar una base y posterior análisis de cada uno de los documentos con el fin de extraer indicadores que nos permitieran realizar un análisis exploratorio. Algunos resultados hacen pensar que las bases de datos PISA están infrautilizadas, sobre todo por los investigadores en el campo de educación. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Electronic Journal of Educational Research, Assessment & Evaluation / Revista Electrónica de Investigación y Evaluación Educativa is the property of RELIEVE - Revista Electonica de Investigacion y Evaluacion Educativa and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.7203/relieve.22.1.8248
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 1
    Subjects:
      – SubjectFull: Educational evaluation
        Type: general
      – SubjectFull: Education research
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Trend analysis
        Type: general
      – SubjectFull: Programme for International Student Assessment
        Type: general
    Titles:
      – TitleFull: Trends analysis in the investigations realised from the data of the PISA Project.
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            NameFull: Pereira, Dora
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            NameFull: Perales, María-Jesús
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            NameFull: Bakieva, Margarita
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              M: 01
              Text: 2016
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              Y: 2016
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            – TitleFull: Electronic Journal of Educational Research, Assessment & Evaluation / Revista Electrónica de Investigación y Evaluación Educativa
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