Assessing proxies of knowledge and difficulty with rubric‐based instruments.

The fields of psychometrics, economic education, and education have developed statistically‐valid methods of assessing knowledge and learning. These methods include item response theory, value‐added learning models, and disaggregated learning. These methods, however, focus on multiple‐choice or sing...

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Publicado en:Southern Economic Journal Vol. 90; no. 2; pp. 510 - 535
Autores principales: Smith, Ben O., Wooten, Jadrian J.
Formato: Artículo
Publicado: Wiley-Blackwell Oct2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2023
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        atl: Assessing proxies of knowledge and difficulty with rubric‐based instruments.
      aug:
        au:
          Smith, Ben O.
          Wooten, Jadrian J.
        affil:
          Department of Economic, University of Nebraska at Omaha, Omaha Nebraska,, USA
          Department of Economic, Virginia Polytechnic Institute and State University, Blacksburg Virginia,, USA
      su:
        Item response theory
        Economics education
        Psychometrics
        Labor economics
        Scoring rubrics
        Value-added assessment (Education)
        Educational outcomes
      sug:
        subj:
          Item response theory
          Economics education
          Psychometrics
          Labor economics
          Scoring rubrics
          Value-added assessment (Education)
          Educational outcomes
      keyword:
        assessment
        measuring knowledge
        rubric assessment
        assessment
        measuring knowledge
        rubric assessment
      ab: The fields of psychometrics, economic education, and education have developed statistically‐valid methods of assessing knowledge and learning. These methods include item response theory, value‐added learning models, and disaggregated learning. These methods, however, focus on multiple‐choice or single response assessments. Faculty and administrators routinely assess knowledge through papers, thesis presentations, or other demonstrations of knowledge assessed with rubric rows. This paper presents a statistical approach to estimating a proxy for student ability and rubric row difficulty. Moreover, we have developed software so that practitioners can more easily apply this method to their instruments. This approach can be used in researching education treatment effects, practitioners measuring learning outcomes in their own classrooms, or estimating knowledge for administrative assessment. As an example, we have applied these new methods to projects in a large Labor Economics course at a public university.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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