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Sökning: WFRF:(Van Den Bergh Don)

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1.
  • Van den Bergh, Don, et al. (författare)
  • How prior information from national assessments can be used when designing experimental studies without a control group
  • 2023
  • Ingår i: The Journal of Writing Research. - : ARLE. - 2030-1006 .- 2294-3307. ; 14:vol. 14 issue 3, s. 447-469
  • Tidskriftsartikel (refereegranskat)abstract
    • National assessments yield a description of the proficiency level in a domain while accounting for differences between tasks. For instance, in writing assessments the level of proficiency is typically evaluated with a variety of topics and multiple tasks. This enables generalizations from specific tasks to a domain. In (quasi-)experimental research, however, writing skills are often evaluated with a single task. Yet, conclusions about the effectiveness of the treatment are formulated on the level of the domain, which is, euphemistically put, quite a stretch. Although conclusions drawn about the effect of the treatment are specific to the task administered, they are often generalized to the domain without any form of reservation. This raises the question whether we can use the results of national assessments about differences between tasks in the analyses of experimental studies. In this paper, we demonstrate how the information of a baseline data set can be used as a kind of control condition in the analysis of an experimental study.
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2.
  • Huntington-Klein, Nick, et al. (författare)
  • Subjective evidence evaluation survey for many-analysts studies
  • 2024
  • Ingår i: Royal Society Open Science. - : The Royal Society. - 2054-5703 .- 2054-5703. ; 11:7
  • Tidskriftsartikel (refereegranskat)abstract
    • Many-analysts studies explore how well an empirical claim withstands plausible alternative analyses of the same dataset by multiple, independent analysis teams. Conclusions from these studies typically rely on a single outcome metric (e.g. effect size) provided by each analysis team. Although informative about the range of plausible effects in a dataset, a single effect size from each team does not provide a complete, nuanced understanding of how analysis choices are related to the outcome. We used the Delphi consensus technique with input from 37 experts to develop an 18-item subjective evidence evaluation survey (SEES) to evaluate how each analysis team views the methodological appropriateness of the research design and the strength of evidence for the hypothesis. We illustrate the usefulness of the SEES in providing richer evidence assessment with pilot data from a previous many-analysts study.
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3.
  • Uhlmann, Eric, L., et al. (författare)
  • Subjective Evidence Evaluation Survey For Multi-Analyst Studies
  • 2024
  • Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
    • Multi-analyst studies explore how well an empirical claim withstands plausible alternative analyses of the same data set by multiple, independent analysis teams. Conclusions from these studies typically rely on a single outcome metric (e.g., effect size) provided by each analysis team. Although informative about the range of plausible effects in a data set, a single effect size from each team does not provide a complete, nuanced understanding of how analysis choices are related to the outcome. We used the Delphi consensus technique with input from 37 experts to develop an 18-item Subjective Evidence Evaluation Survey (SEES) to evaluate how each analysis team views the methodological appropriateness of the research design and the strength of evidence for the hypothesis. We illustrate the usefulness of the SEES in providing richer evidence assessment with pilot data from a previous multi-analyst study.
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  • Resultat 1-3 av 3

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