The purpose of this study was to investigate model-data fit and differential rater functioning in the context of large group music performance assessment using the Many-Facet Rasch Partial Credit Measurement Model. In particular, we sought to identify whether or not expert raters' (N = 24) severity was invariant across four school levels (middle school, high school, collegiate, professional). Interaction analyses suggested that differential rater functioning existed for both the group of raters and some individual raters based on their expected locations on the logit scale. This indicates that expert raters did not demonstrate invariant levels of severity when rating subgroups of ensembles across the four school levels. Of the 92 potential pairwise interactions examined, 14 (15.2%) interactions were found to be statistically significant, indicating that 10 individual raters demonstrated differential severity across at least one school level. Interpretations of meaningful systematic patterns emerged for some raters after investigating individual pairwise interactions. Implications for improving the fairness and equity in large group music performance evaluations are discussed.

A primary difficulty with music performance assessment is managing its subjective nature. To help improve objectivity, rubrics can be used to develop a set of guidelines for clearly assessing student performance. Moreover, rubrics serve as documentation for student achievement that provides music teachers with a written form of accountability. This article examines the complexities of music performance assessment and provides an argument for the benefit of rubrics in the assessment process. In addition, discussion includes an overview of the various types of rubrics as well as suggestions for choosing and writing rubrics to assess musical performances.

This study investigates the production and perception of timing, synchronisation and dynamics in jazz trio performances. In a production experiment, six trio combinations of one saxophonist, two bassists, and three drummers were recorded while they performed three popular jazz songs. Onset timing and dynamics of each performer were extracted and analysed. Results showed that the tempo was significantly influenced by the timing of the drummers and all performers showed higher temporal precision on the backbeats. The drummers demonstrated individual swing-ratios, accentuations of beats and intrapersonal asynchronies between simultaneous hi-hat and ride cymbal onsets, which resulted in a hi-hat played 2–26 ms ahead of the pulse of the music. In a subsequent perception test, participants () rated 12 excerpts of the jazz recordings. They selected their preferred version from a pool of stimuli containing the original version, but also manipulations with artificially increased or reduced asynchronies. Stimuli with reduced asynchronies smaller than 19 ms were preferred by the listeners over the original or the fully quantised timing. This suggests that listeners endorse a ‘tight-interlocked’ jazz rhythm section, with asynchronies smaller than the perceptual threshold (temporal masking), but with natural timing variabilities that makes it distinguishable from a computer-generated playback.

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A fundamental aim of the Race to the Top agenda is to assess the effectiveness of teachers based on value-added growth measurement models of student achievement. However, in nontested grades and subject areas, such as music, alternative assessment types are being considered, including district-, school-, or teacher-developed measures. This article explores the relationship between assessment for accountability and assessment for instructional improvement and offers a framework for documenting student growth and achievement in the music performance classroom.