The purpose of this study was to develop a valid and reliable rubric to be used for the evaluation of large ensemble wind band performances. The guiding questions for this study were: (a) what are the psychometric qualities (i.e., reliability and validity) of the scale developed to assess wind band ensemble performance at the high school level? (b) how do the items fit the model and vary in difficulty? (c) how does the structure of the rating scale vary across individual items? and (d) how can the rating scale be transferred into an informative rubric? The primary data analysis tool used in this study was the Multifaceted Rasch Partial Credit Measurement Model. Music content experts (N = 20) were solicited to evaluate 40 wind band performances, each evaluator listening to four. A 4-point Likert-type rating scale (e.g., Strongly Agree, Agree, Disagree, and Strongly Disagree) was used to evaluate each recorded performance. Results indicated good model data fit and resulted in a final rubric containing 24 items ranging from two to four performance categories. Implications for classroom teaching and consequential validity are discussed.

中文翻译：

---

使用多方面Rasch局部信用测量模型对风带表现指标进行心理测评

这项研究的目的是开发一种有效且可靠的指标，用于评估大型合奏乐队的演奏。这项研究的指导性问题是：（a）为评估高中阶段的风乐队合奏表现而开发的量表的心理测量质量（即信度和效度）是什么？（b）这些项目如何适应模型并改变难度？（c）评级量表的结构在各个项目中如何变化？（d）评级量表如何转换成内容丰富的专栏？本研究中使用的主要数据分析工具是多面Rasch部分信用评估模型。音乐内容专家（N = 20）被邀请评估40个乐队的演奏，每个评估员收听4个。4点Likert型评分量表（例如，强烈同意，同意，“不同意”和“强烈不同意”）用于评估每个记录的效果。结果表明模型数据拟合良好，并最终形成了一个包含24个项目（从2个到4个性能类别）的项目。讨论对课堂教学的影响和结果的有效性。