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  • 标题:Attributes of expertise in expert candidates for educational research. Study based on doctoral theses
  • 本地全文:下载
  • 作者:Yohan Díaz Ferrer ; Miguel Cruz Ramirez ; Milagro Caridad Pérez Pravia
  • 期刊名称:Biblios
  • 印刷版ISSN:1562-4730
  • 电子版ISSN:1562-4730
  • 出版年度:2022
  • 期号:81
  • 页码:16-27
  • DOI:10.5195/biblios.2021.909
  • 语种:Spanish
  • 出版社:Julio Santillán Aldana, ed.
  • 摘要:Objective. Analyze the attributes used by different authors to identify the expertise of the candidates for experts in the initial stage of application of the expert criteria method. The specific ones identify the most representative attributes of the expertise at this stage and recognize the characteristics that distinguish them from the expert proficiency coefficient. Method. Theoretical-logical, analysis-synthesis and induction-deduction methods were applied as theoretical methods, scientific observation, documentary analysis, content analysis; of statistic, descriptive and parametric statistics. Results. A regularized attribute system is obtained that allows to identify the expertise of the candidates for experts more efficiently compared to standards applied by doctoral thesis authors and scientific research. Conclusions. Research reveals that the selection of this attribute system greatly improve the identification of candidates  for experts in this area of knowledge. The study is based on the statistical interpretation of the values of certain statistical parameters that graphically underline the comparison of the attributes used with the characteristics of the competence coefficient.
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