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Re-conceptualization of modified Angoff standard setting: Unified statistical, measurement, cognitive, and social psychological theories.

机译:修改后的Angoff标准设置的重新概念化:统一的统计,度量,认知和社会心理理论。

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摘要

This dissertation describes a design for training, in accordance with probability judgment heuristics principles, for the Angoff standard setting method. The new training with instruction, practice, and feedback tailored to the probability judgment heuristics principles was called the Heuristic training and the prevailing Angoff method training was called the Normative training.;To evaluate effectiveness of the Heuristic training over the Normative training, the researcher ran two empirical studies for this dissertation. The design of the empirical study was a two-way mixed factorial effect ANOVA (2 training methods by 3 rounds of judgment). The empirical studies recommended cut score for the fourth grade mathematics, Michigan Educational Assessment Program (MEAP), Proficient performance category.;There were 10 and 12 participants in the Heuristic training and the Normative training, respectively. The participants of the studies were comprised mostly of Michigan State University (MSU) pre-service teachers and teachers in the mid-Michigan area. Two tests were used for the judgments, one for the practice round of judgment called the Practice test and the other for the feedback rounds of judgment called the Real test. Both the Practice and the Real test were comprised of subsets of released Michigan Educational Assessment Program (MEAP), 2005-2006 fourth grade multiple choice items. There were three rounds of probability judgments in both studies namely: the practice and the two feedback rounds. For both training methods, the practice round encompassed pre-requisite tasks for probability judgment and ensued instruction while the feedback rounds followed feedback to the participants on their judgments in the preceding round. The Heuristic and the Normative training methods were evaluated for substantive meaningfulness of the probability judgments and their cut scores derivatives, in relation to the heuristic model assumptions. The methods were also compared for the effectiveness of training interventions of instruction and practice versus feedback.;In the practice round of judgment, the training groups performed comparably, the participant's judgments fit the probability judgment heuristic principles, and cut scores were quite reasonable for both groups. Conversely, in the feedback rounds, the participant's judgments deviated from the probability judgment heuristic principles, were considerably less substantively meaningful for the Normative training, and cut scores were positively biased for both groups.;The conclusion based on overall findings were that the Heuristic training was more effective than the Normative training and that regardless of training method that instruction and practice activities were more effective than feedback. Intellectual merits of the dissertation, recommendations, study limitations, and directions for future Heuristic training Angoff studies are discussed.
机译:本文根据概率判断启发式原理,对Angoff标准设置方法进行了训练设计。根据概率判断启发式原理量身定制的具有指导,实践和反馈的新培训称为启发式培训,而流行的Angoff方法培训称为规范性培训。为了评估启发式培训相对于规范性培训的有效性,研究人员进行了研究本文的两个实证研究。经验研究的设计是双向混合因子效应方差分析(通过3轮判断的2种训练方法)。实证研究建议对四年级数学,密歇根州教育评估计划(MEAP),熟练成绩类别的学生进行分数降低;启发式训练和规范训练分别有10和12名参与者。研究的参与者主要是密歇根州立大学(MSU)的职前教师和密歇根州中部地区的教师。两种测试用于判断,一种用于实践判断,称为实践测试,另一种用于反馈判断,称为真实测试。实际测试和实际测试均由已发布的密歇根州教育评估计划(MEAP)2005-2006四年级多项选择题组成。两项研究均进行了三轮概率判断:实践和两轮反馈。对于这两种培训方法,练习轮次都包含概率判断的先决任务和随后的指示,而反馈轮次则是在上一轮中将反馈信息反馈给参与者。相对于启发式模型假设,评估了启发式和范式训练方法对于概率判断及其削减分数导数的实质意义。还比较了这些方法在指导和练习与反馈方面的培训干预措施的有效性。;在实践判断中,训练小组的表现相当,参与者的判断符合概率判断启发式原理,并且两者的得分均相当合理组。相反,在反馈回合中,参与者的判断偏离了概率判断启发式原理,对规范性培训的实质意义不大,切割分数对两组均具有正偏见。;基于总体发现的结论是启发式培训比规范培训更有效,并且无论采用哪种培训方法,指导和练习活动都比反馈更有效。讨论了论文的知识优势,建议,研究局限性以及未来启发式训练Angoff研究的方向。

著录项

  • 作者

    Iyioke, Ifeoma Chika.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Education Tests and Measurements.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 359 p.
  • 总页数 359
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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